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6 Commits

Author SHA1 Message Date
veguAI
0738899ac9 Prep 0.15.0 (#38)
* send one request for assign all clients

* tweak narrate-after-dialogue prompt

* elevenlabs default to turbo model and make model id configurable

* improve add client dialogue to be more robust

* prompt for default character creation on character card loads

* rename to model as to not conflict with pydantic

* narrate after dialogue strip dialogue generation unless enabled via new option

* starling and capybara-tess

* narrate dialogue context increased

* relabel tts agent to Voice, show agent label in status bar

* dont expect LLM to handle * and " - most of them are not stable / consistent enough with it

* starling template updated

* if allow dialogue in narration is disabled just assume the entire string is a narration

* reorganization the narrate after dialogue template

* fix more issues with time passage calculations

* move punkt download to agent init and silence

* improved RAG during conversation if AI selected is enabled in conversation agent

* prompt tweaks

* deepseek, chromomaid-storytelling

* relock

* narrate-after-dialogue prompt tweaks

* runpod status queries every 15 secs instead of 60

* default player character prompting when loading character card from talemate storage

* better chunking during split tts generation

* tweak narrate progress prompt

* improvements to ensure_dialogue_format and tests

* to pytest

* prep 0.15.0

* update packages

* dialogue cleanup fixes

* fix openai default model name
fix not being able to edit client due to name check

* free form analyst was using wrong system prompt causing gpt-4 to actually generate json responses
2023-12-02 00:40:14 +02:00
veguAI
76b7b5c0e0 templating overview (#37)
readme updates

readme updates
2023-11-26 16:35:09 +02:00
veguAI
cae5e8d217 Update README.md
Update textgenwebui setup picture to be in line with current api url requirements
2023-11-26 16:32:50 +02:00
veguAI
97bfd3a672 Add files via upload 2023-11-26 16:31:49 +02:00
veguAI
8fb1341b93 Update README.md
fix references to old repo
2023-11-26 16:25:46 +02:00
fiwo
cba4412f3d Update README.md 2023-11-25 01:49:44 +02:00
37 changed files with 933 additions and 438 deletions

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@@ -2,14 +2,17 @@
Allows you to play roleplay scenarios with large language models.
It does not run any large language models itself but relies on existing APIs. Currently supports **text-generation-webui** and **openai**.
This means you need to either have an openai api key or know how to setup [oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui) (locally or remotely via gpu renting. `--extension openai` flag needs to be set)
|![Screenshot 1](docs/img/Screenshot_9.png)|![Screenshot 2](docs/img/Screenshot_2.png)|
|------------------------------------------|------------------------------------------|
As of version 0.13.0 the legacy text-generator-webui API `--extension api` is no longer supported, please use their new `--extension openai` api implementation instead.
> :warning: **It does not run any large language models itself but relies on existing APIs. Currently supports OpenAI, text-generation-webui and LMStudio.**
![Screenshot 1](docs/img/Screenshot_9.png)
![Screenshot 2](docs/img/Screenshot_2.png)
This means you need to either have:
- an [OpenAI](https://platform.openai.com/overview) api key
- OR setup local (or remote via runpod) LLM inference via one of these options:
- [oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui)
- [LMStudio](https://lmstudio.ai/)
## Current features
@@ -22,7 +25,8 @@ As of version 0.13.0 the legacy text-generator-webui API `--extension api` is no
- editor: improves AI responses (very hit and miss at the moment)
- world state: generates world snapshot and handles passage of time (objects and characters)
- creator: character / scenario creator
- multi-client (agents can be connected to separate APIs)
- tts: text to speech via elevenlabs, coqui studio, coqui local
- multi-client support (agents can be connected to separate APIs)
- long term memory
- chromadb integration
- passage of time
@@ -40,7 +44,7 @@ Kinda making it up as i go along, but i want to lean more into gameplay through
In no particular order:
- TTS support
- Extension support
- modular agents and clients
- Improved world state
@@ -60,13 +64,13 @@ In no particular order:
## Installation
Post [here](https://github.com/final-wombat/talemate/issues/17) if you run into problems during installation.
Post [here](https://github.com/vegu-ai/talemate/issues/17) if you run into problems during installation.
### Windows
1. Download and install Python 3.10 or higher from the [official Python website](https://www.python.org/downloads/windows/).
1. Download and install Node.js from the [official Node.js website](https://nodejs.org/en/download/). This will also install npm.
1. Download the Talemate project to your local machine. Download from [the Releases page](https://github.com/final-wombat/talemate/releases).
1. Download the Talemate project to your local machine. Download from [the Releases page](https://github.com/vegu-ai/talemate/releases).
1. Unpack the download and run `install.bat` by double clicking it. This will set up the project on your local machine.
1. Once the installation is complete, you can start the backend and frontend servers by running `start.bat`.
1. Navigate your browser to http://localhost:8080
@@ -75,7 +79,7 @@ Post [here](https://github.com/final-wombat/talemate/issues/17) if you run into
`python 3.10` or higher is required.
1. `git clone git@github.com:final-wombat/talemate`
1. `git clone git@github.com:vegu-ai/talemate`
1. `cd talemate`
1. `source install.sh`
1. Start the backend: `python src/talemate/server/run.py runserver --host 0.0.0.0 --port 5050`.
@@ -118,15 +122,15 @@ https://www.reddit.com/r/LocalLLaMA/comments/17fhp9k/huge_llm_comparisontest_39_
On the right hand side click the "Add Client" button. If there is no button, you may need to toggle the client options by clicking this button:
As of version 0.13.0 the legacy text-generator-webui API `--extension api` is no longer supported, please use their new `--extension openai` api implementation instead.
![Client options](docs/img/client-options-toggle.png)
### Text-generation-webui
> :warning: As of version 0.13.0 the legacy text-generator-webui API `--extension api` is no longer supported, please use their new `--extension openai` api implementation instead.
In the modal if you're planning to connect to text-generation-webui, you can likely leave everything as is and just click Save.
![Add client modal](docs/img/add-client-modal.png)
![Add client modal](docs/img/client-setup-0.13.png)
### OpenAI
@@ -164,8 +168,8 @@ Make sure you save the scene after the character is loaded as it can then be loa
Please read the documents in the `docs` folder for more advanced configuration and usage.
- Creative mode (docs WIP)
- Prompt template overrides
- [Prompt template overrides](docs/templates.md)
- [Text-to-Speech (TTS)](docs/tts.md)
- [ChromaDB (long term memory)](docs/chromadb.md)
- Runpod Integration
- Creative mode

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@@ -7,12 +7,7 @@ creator:
- a thrilling action story aimed at an adult audience.
- a mysterious adventure aimed at an adult audience.
- an epic sci-fi adventure aimed at an adult audience.
game:
default_player_character:
color: '#6495ed'
description: a young man with a penchant for adventure.
gender: male
name: Elmer
game: {}
## Long-term memory

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# Template Overrides in Talemate
## Introduction to Templates
In Talemate, templates are used to generate dynamic content for various agents involved in roleplaying scenarios. These templates leverage the Jinja2 templating engine, allowing for the inclusion of variables, conditional logic, and custom functions to create rich and interactive narratives.
## Template Structure
A typical template in Talemate consists of several sections, each enclosed within special section tags (`<|SECTION:NAME|>` and `<|CLOSE_SECTION|>`). These sections can include character details, dialogue examples, scenario overviews, tasks, and additional context. Templates utilize loops and blocks to iterate over data and render content conditionally based on the task requirements.
## Overriding Templates
Users can customize the behavior of Talemate by overriding the default templates. To override a template, create a new template file with the same name in the `./templates/prompts/{agent}/` directory. When a custom template is present, Jinja2 will prioritize it over the default template located in the `./src/talemate/prompts/templates/{agent}/` directory.
## Creator Agent Templates
The creator agent templates allow for the creation of new characters within the character creator. Following the naming convention `character-attributes-*.jinja2`, `character-details-*.jinja2`, and `character-example-dialogue-*.jinja2`, users can add new templates that will be available for selection in the character creator.
### Requirements for Creator Templates
- All three types (`attributes`, `details`, `example-dialogue`) need to be available for a choice to be valid in the character creator.
- Users can check the human templates for an understanding of how to structure these templates.
### Example Templates
- [Character Attributes Human Template](src/talemate/prompts/templates/creator/character-attributes-human.jinja2)
- [Character Details Human Template](src/talemate/prompts/templates/creator/character-details-human.jinja2)
- [Character Example Dialogue Human Template](src/talemate/prompts/templates/creator/character-example-dialogue-human.jinja2)
These example templates can serve as a guide for users to create their own custom templates for the character creator.
### Extending Existing Templates
Jinja2's template inheritance feature allows users to extend existing templates and add extra information. By using the `{% extends "template-name.jinja2" %}` tag, a new template can inherit everything from an existing template and then add or override specific blocks of content.
#### Example
To add a description of a character's hairstyle to the human character details template, you could create a new template like this:
```jinja2
{% extends "character-details-human.jinja2" %}
{% block questions %}
{% if character_details.q("what does "+character.name+"'s hair look like?") -%}
Briefly describe {{ character.name }}'s hair-style using a narrative writing style that reminds of mid 90s point and click adventure games. (2 - 3 sentences).
{% endif %}
{% endblock %}
```
This example shows how to extend the `character-details-human.jinja2` template and add a block for questions about the character's hair. The `{% block questions %}` tag is used to define a section where additional questions can be inserted or existing ones can be overridden.
## Advanced Template Topics
### Jinja2 Functions in Talemate
Talemate exposes several functions to the Jinja2 template environment, providing utilities for data manipulation, querying, and controlling content flow. Here's a list of available functions:
1. `set_prepared_response(response, prepend)`: Sets the prepared response with an optional prepend string. This function allows the template to specify the beginning of the LLM response when processing the rendered template. For example, `set_prepared_response("Certainly!")` will ensure that the LLM's response starts with "Certainly!".
2. `set_prepared_response_random(responses, prefix)`: Chooses a random response from a list and sets it as the prepared response with an optional prefix.
3. `set_eval_response(empty)`: Prepares the response for evaluation, optionally initializing a counter for an empty string.
4. `set_json_response(initial_object, instruction, cutoff)`: Prepares for a JSON response with an initial object and optional instruction and cutoff.
5. `set_question_eval(question, trigger, counter, weight)`: Sets up a question for evaluation with a trigger, counter, and weight.
6. `disable_dedupe()`: Disables deduplication of the response text.
7. `random(min, max)`: Generates a random integer between the specified minimum and maximum.
8. `query_scene(query, at_the_end, as_narrative)`: Queries the scene with a question and returns the formatted response.
9. `query_text(query, text, as_question_answer)`: Queries a text with a question and returns the formatted response.
10. `query_memory(query, as_question_answer, **kwargs)`: Queries the memory with a question and returns the formatted response.
11. `instruct_text(instruction, text)`: Instructs the text with a command and returns the result.
12. `retrieve_memories(lines, goal)`: Retrieves memories based on the provided lines and an optional goal.
13. `uuidgen()`: Generates a UUID string.
14. `to_int(x)`: Converts the given value to an integer.
15. `config`: Accesses the configuration settings.
16. `len(x)`: Returns the length of the given object.
17. `count_tokens(x)`: Counts the number of tokens in the given text.
18. `print(x)`: Prints the given object (mainly for debugging purposes).
These functions enhance the capabilities of templates, allowing for dynamic and interactive content generation.
### Error Handling
Errors encountered during template rendering are logged and propagated to the user interface. This ensures that users are informed of any issues that may arise, allowing them to troubleshoot and resolve problems effectively.
By following these guidelines, users can create custom templates that tailor the Talemate experience to their specific storytelling needs.# Template Overrides in Talemate

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{file = "safetensors-0.4.1.tar.gz", hash = "sha256:2304658e6ada81a5223225b4efe84748e760c46079bffedf7e321763cafb36c9"},
]
[package.extras]
@@ -3845,17 +3842,17 @@ telegram = ["requests"]
[[package]]
name = "tqdm-loggable"
version = "0.1.4"
description = "TQDM progress bar friendliness for non-interactive terminals and logging output"
version = "0.2"
description = "TQDM progress bar helpers for logging and other headless application"
optional = false
python-versions = ">=3.8,<4.0"
python-versions = ">3.8"
files = [
{file = "tqdm_loggable-0.1.4-py3-none-any.whl", hash = "sha256:54fde4e7e146157b2c71230fbed2d981c362741fbcc6230dc632abbf4500094c"},
{file = "tqdm_loggable-0.1.4.tar.gz", hash = "sha256:ab5a4a29c5a0398c328455b099e3faf1c93113e8db6e04cb3de9ba539d0a593c"},
{file = "tqdm_loggable-0.2-py3-none-any.whl", hash = "sha256:9703046302b93a667166487759e6f3f49597e86c89eb132ba1f31caa07bf0941"},
{file = "tqdm_loggable-0.2.tar.gz", hash = "sha256:175abec3e1f63bbd2eac192fa5da075e80c7bb715d7ccf3cd1a29b7ab5af0617"},
]
[package.dependencies]
tqdm = ">=4.64.1,<5.0.0"
tqdm = ">4.64"
[[package]]
name = "transformers"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.masonry.api"
[tool.poetry]
name = "talemate"
version = "0.14.1"
version = "0.15.0"
description = "AI-backed roleplay and narrative tools"
authors = ["FinalWombat"]
license = "GNU Affero General Public License v3.0"

View File

@@ -2,4 +2,4 @@ from .agents import Agent
from .client import TextGeneratorWebuiClient
from .tale_mate import *
VERSION = "0.14.1"
VERSION = "0.15.0"

View File

@@ -156,6 +156,12 @@ class EditorAgent(Agent):
message = content.split(character_prefix)[1]
content = f"{character_prefix}*{message.strip('*')}*"
return content
elif '"' in content:
# if both are present we strip the * and add them back later
# through ensure_dialog_format - right now most LLMs aren't
# smart enough to do quotes and italics at the same time consistently
# especially throughout long conversations
content = content.replace('*', '')
content = util.clean_dialogue(content, main_name=character.name)
content = util.strip_partial_sentences(content)

View File

@@ -92,6 +92,12 @@ class NarratorAgent(Agent):
max=1.0,
step=0.1,
),
"generate_dialogue": AgentActionConfig(
type="bool",
label="Allow Dialogue in Narration",
description="Allow the narrator to generate dialogue in narration",
value=False,
),
}
),
}
@@ -401,5 +407,12 @@ class NarratorAgent(Agent):
response = self.clean_result(response.strip().strip("*"))
response = f"*{response}*"
allow_dialogue = self.actions["narrate_dialogue"].config["generate_dialogue"].value
if not allow_dialogue:
response = response.split('"')[0].strip()
response = response.replace("*", "")
response = f"*{response}*"
return response

View File

@@ -38,7 +38,6 @@ if not TTS:
# so we don't want to require it unless the user wants to use it
log.info("TTS (local) requires the TTS package, please install with `pip install TTS` if you want to use the local api")
nltk.download("punkt")
def parse_chunks(text):
@@ -56,10 +55,25 @@ def parse_chunks(text):
for i, chunk in enumerate(cleaned_chunks):
chunk = chunk.replace("__ellipsis__", "...")
cleaned_chunks[i] = chunk
return cleaned_chunks
def clean_quotes(chunk:str):
# if there is an uneven number of quotes, remove the last one if its
# at the end of the chunk. If its in the middle, add a quote to the end
if chunk.count('"') % 2 == 1:
if chunk.endswith('"'):
chunk = chunk[:-1]
else:
chunk += '"'
return chunk
def rejoin_chunks(chunks:list[str], chunk_size:int=250):
"""
@@ -74,14 +88,13 @@ def rejoin_chunks(chunks:list[str], chunk_size:int=250):
for chunk in chunks:
if len(current_chunk) + len(chunk) > chunk_size:
joined_chunks.append(current_chunk)
joined_chunks.append(clean_quotes(current_chunk))
current_chunk = ""
current_chunk += chunk
if current_chunk:
joined_chunks.append(current_chunk)
joined_chunks.append(clean_quotes(current_chunk))
return joined_chunks
@@ -104,7 +117,7 @@ class TTSAgent(Agent):
"""
agent_type = "tts"
verbose_name = "Text to speech"
verbose_name = "Voice"
requires_llm_client = False
@classmethod
@@ -121,6 +134,7 @@ class TTSAgent(Agent):
def __init__(self, **kwargs):
self.is_enabled = False
nltk.download("punkt", quiet=True)
self.voices = {
"elevenlabs": VoiceLibrary(api="elevenlabs"),
@@ -175,7 +189,7 @@ class TTSAgent(Agent):
),
"generate_chunks": AgentActionConfig(
type="bool",
value=True,
value=False,
label="Split generation",
description="Generate audio chunks for each sentence - will be much more responsive but may loose context to inform inflection",
)
@@ -472,7 +486,7 @@ class TTSAgent(Agent):
}
data = {
"text": text,
"model_id": "eleven_monolingual_v1",
"model_id": self.config.get("elevenlabs",{}).get("model"),
"voice_settings": {
"stability": 0.5,
"similarity_boost": 0.5

View File

@@ -142,6 +142,8 @@ class ClientBase:
return system_prompts.EDITOR
if "world_state" in kind:
return system_prompts.WORLD_STATE
if "analyze_freeform" in kind:
return system_prompts.ANALYST_FREEFORM
if "analyst" in kind:
return system_prompts.ANALYST
if "analyze" in kind:

View File

@@ -187,7 +187,7 @@ class OpenAIClient(ClientBase):
expected_response = right.strip()
if expected_response.startswith("{") and supports_json_object:
parameters["response_format"] = {"type": "json_object"}
except IndexError:
except (IndexError, ValueError):
pass
human_message = {'role': 'user', 'content': prompt.strip()}

View File

@@ -42,17 +42,17 @@ class Agent(BaseModel):
return super().model_dump(exclude_none=True)
class GamePlayerCharacter(BaseModel):
name: str
color: str
gender: str
description: Optional[str]
name: str = ""
color: str = "#3362bb"
gender: str = ""
description: Optional[str] = ""
class Config:
extra = "ignore"
class Game(BaseModel):
default_player_character: GamePlayerCharacter
default_player_character: GamePlayerCharacter = GamePlayerCharacter()
class Config:
extra = "ignore"
@@ -68,6 +68,7 @@ class RunPodConfig(BaseModel):
class ElevenLabsConfig(BaseModel):
api_key: Union[str,None]=None
model: str = "eleven_turbo_v2"
class CoquiConfig(BaseModel):
api_key: Union[str,None]=None

View File

@@ -516,7 +516,7 @@ class Prompt:
log.warning("parse_json_response error on first attempt - sending to AI to fix", response=response, error=e)
fixed_response = await self.client.send_prompt(
f"fix the syntax errors in this JSON string, but keep the structure as is.\n\nError:{e}\n\n```json\n{response}\n```<|BOT|>"+"{",
f"fix the syntax errors in this JSON string, but keep the structure as is. Remove any comments.\n\nError:{e}\n\n```json\n{response}\n```<|BOT|>"+"{",
kind="analyze_long",
)
log.warning("parse_json_response error on first attempt - sending to AI to fix", response=response, error=e)

View File

@@ -33,8 +33,7 @@ You may chose to have {{ talking_character.name}} respond to the conversation, o
Use an informal and colloquial register with a conversational tone. Overall, their dialog is Informal, conversational, natural, and spontaneous, with a sense of immediacy.
Spoken word should be enclosed in double quotes, e.g. "Hello, how are you?"
Narration and actions should be enclosed in asterisks, e.g. *She smiles.*
Spoken words MUST be enclosed in double quotes, e.g. {{ talking_character.name}}: "spoken words.".
{{ extra_instructions }}
<|CLOSE_SECTION|>
{% if memory -%}

View File

@@ -8,12 +8,18 @@ Scenario Premise: {{ scene.description }}
{% endfor %}
{% endblock -%}
<|CLOSE_SECTION|>
{% for scene_context in scene.context_history(budget=max_tokens-200-count_tokens(self.rendered_context())) -%}
{% for scene_context in scene.context_history(budget=max_tokens-200-count_tokens(self.rendered_context()), min_dialogue=25) -%}
{{ scene_context }}
{% endfor %}
<|SECTION:TASK|>
Based on the previous line '{{ last_line }}', create the next line of narration. This line should focus solely on describing sensory details (like sounds, sights, smells, tactile sensations) or external actions that move the story forward. Avoid including any character's internal thoughts, feelings, or dialogue. Your narration should directly respond to '{{ last_line }}', either by elaborating on the immediate scene or by subtly advancing the plot. Generate exactly one sentence of new narration. If the character is trying to determine some state, truth or situation, try to answer as part of the narration.
Be creative and generate something new and interesting, but stay true to the setting and context of the story so far.
Use an informal and colloquial register with a conversational tone. Overall, the narrative is Informal, conversational, natural, and spontaneous, with a sense of immediacy.
Narration style should be that of a 90s point and click adventure game. You are omniscient and can describe the scene in detail.
Only generate new narration.
<|CLOSE_SECTION|>
{{ set_prepared_response('*') }}

View File

@@ -14,17 +14,16 @@ Last time we checked on {{ character.name }}:
<|SECTION:INFORMATION|>
{{ query_memory("How old is {character.name}?") }}
{{ query_scene("Where is {character.name}?") }}
{{ query_scene("what is {character.name} doing?") }}
{{ query_scene("what is {character.name} wearing?") }}
{{ query_scene("Where is {character.name} and what is {character.name} doing?") }}
{{ query_scene("what is {character.name} wearing? Be explicit.") }}
<|CLOSE_SECTION|>
<|SECTION:TASK|>
Last line of dialogue: {{ scene.history[-1] }}
Questions: Where is {{ character.name}} currently and what are they doing? What is {{ character.name }}'s appearance at the end of the dialogue? What is {{ character.pronoun_2 }} wearing? What position is {{ character.pronoun_2 }} in?
Instruction: Answer the questions to describe {{ character.name }}'s appearance at the end of the dialogue and summarize into narrative description. Use the whole dialogue for context.
Instruction: Answer the questions to describe {{ character.name }}'s appearance at the end of the dialogue and summarize into narrative description. Use the whole dialogue for context. You must fill in gaps using imagination as long as it fits the existing context. You will provide a confident and decisive answer to the question.
Content Context: This is a specific scene from {{ scene.context }}
Narration style: point and click adventure game from the 90s
Expected Answer: A summarized visual description of {{ character.name }}'s appearance at the dialogue.
Expected Answer: A brief summarized visual description of {{ character.name }}'s appearance at the end of the dialogue. NEVER break the fourth wall. (2 to 3 sentences)
<|CLOSE_SECTION|>
Narrator answers: {{ bot_token }}At the end of the dialogue,

View File

@@ -14,9 +14,17 @@ Content Context: {{ scene.context }}
{{ scene_context }}
{% endfor %}
<|SECTION:TASK|>
Continue the current dialogue by narrating the progression of the scene
Narration style: point and click adventure game from the 90s
Continue the current dialogue by narrating the progression of the scene.
If the scene is over, narrate the beginning of the next scene.
Be creative and generate something new and interesting, but stay true to the setting and context of the story so far.
Use an informal and colloquial register with a conversational tone. Overall, the narrative is informal, conversational, natural, and spontaneous, with a sense of immediacy.
Narration style should be that of a 90s point and click adventure game. You are omniscient and can describe the scene in detail.
Only generate new narration. Avoid including any character's internal thoughts or dialogue.
<|CLOSE_SECTION|>
{{ bot_token }}
{% for row in scene.history[-10:] -%}

View File

@@ -6,15 +6,21 @@
{% endfor %}
<|SECTION:TASK|>
{% if query.endswith("?") -%}
Question: {{ query }}
Extra context: {{ query_memory(query, as_question_answer=False) }}
Instruction: Analyze Context, History and Dialogue. When evaluating both story and memory, story is more important. You can fill in gaps using imagination as long as it is based on the existing context. Respect the scene progression and answer in the context of the end of the dialogue.
Instruction: Analyze Context, History and Dialogue and then answer the question: "{{ query }}".
When evaluating both story and context, story is more important. You can fill in gaps using imagination as long as it is based on the existing context.
Respect the scene progression and answer in the context of the end of the dialogue.
Use your imagination to fill in gaps in order to answer the question in a confident and decisive manner. Avoid uncertainty and vagueness.
{% else -%}
Instruction: {{ query }}
Extra context: {{ query_memory(query, as_question_answer=False) }}
Answer based on Context, History and Dialogue. When evaluating both story and memory, story is more important. You can fill in gaps using imagination as long as it is based on the existing context.
Answer based on Context, History and Dialogue.
When evaluating both story and context, story is more important. You can fill in gaps using imagination as long as it is based on the existing context.
{% endif -%}
Content Context: This is a specific scene from {{ scene.context }}
Your answer should be in the style of short narration that fits the context of the scene.
Your answer should be in the style of short, concise narration that fits the context of the scene. (1 to 2 sentences)
<|CLOSE_SECTION|>
Narrator answers: {% if at_the_end %}{{ bot_token }}At the end of the dialogue, {% endif %}

View File

@@ -1,6 +1,6 @@
{% set questions = instruct_text("Ask the narrator three (3) questions to gather more context from the past for the continuation of this conversation. If a character is asking about a state, location or information about an item or another character, make sure to include question(s) that help gather context for this.", text) %}
<|SECTION:CONTEXT|>
{% for memory in query_memory(text, as_question_answer=False, max_tokens=max_tokens-500, iterate=20) -%}
{% for memory in query_memory(questions, as_question_answer=False, max_tokens=max_tokens-500, iterate=10) -%}
{{ memory }}
{% endfor -%}
@@ -8,7 +8,7 @@
<|SECTION:TASK|>
Answer the following questions:
{{ instruct_text("Ask the narrator three (3) questions to gather more context from the past for the continuation of this conversation. If a character is asking about a state, location or information about an item or another character, make sure to include question(s) that help gather context for this.", text) }}
{{ questions }}
You answers should be precise, truthful and short. Pay close attention to timestamps when retrieving information from the context.

View File

@@ -1 +1 @@
Instructions for a talented story analyst. The analyst will analyze parts of a story or dialogue and give truthful answers based on the dialogue or events given to him. The analyst will never make up facts or lie in his answers and will use crude, lewd and strong language if the content requires it.
Instructions for a talented story analyst. The analyst will analyze parts of a story or dialogue and give truthful answers based on the dialogue or events given to him. The analyst will never make up facts or lie in his answers and will use crude, lewd and strong language if the context requires it.

View File

@@ -56,7 +56,7 @@ async def websocket_endpoint(websocket, path):
await instance.sync_client_bootstraps()
except Exception as e:
log.error("send_client_bootstraps", error=e, traceback=traceback.format_exc())
await asyncio.sleep(60)
await asyncio.sleep(15)
send_client_bootstraps_task = asyncio.create_task(send_client_bootstraps())

View File

@@ -1,5 +1,6 @@
import pydantic
import structlog
from talemate import VERSION
from talemate.config import Config as AppConfigData, load_config, save_config
@@ -8,6 +9,12 @@ log = structlog.get_logger("talemate.server.config")
class ConfigPayload(pydantic.BaseModel):
config: AppConfigData
class DefaultCharacterPayload(pydantic.BaseModel):
name: str
gender: str
description: str
color: str = "#3362bb"
class ConfigPlugin:
router = "config"
@@ -36,8 +43,38 @@ class ConfigPlugin:
save_config(current_config)
self.websocket_handler.config = current_config
self.websocket_handler.queue_put({
"type": "app_config",
"data": load_config(),
"version": VERSION
})
self.websocket_handler.queue_put({
"type": "config",
"action": "save_complete",
})
})
async def handle_save_default_character(self, data):
log.info("Saving default character", data=data["data"])
payload = DefaultCharacterPayload(**data["data"])
current_config = load_config()
current_config["game"]["default_player_character"] = payload.model_dump()
log.info("Saving default character", character=current_config["game"]["default_player_character"])
save_config(current_config)
self.websocket_handler.config = current_config
self.websocket_handler.queue_put({
"type": "app_config",
"data": load_config(),
"version": VERSION
})
self.websocket_handler.queue_put({
"type": "config",
"action": "save_default_character_complete",
})

View File

@@ -497,13 +497,9 @@ def duration_to_timedelta(duration):
if isinstance(duration, datetime.timedelta):
return duration
# Check if the duration is an isodate.Duration object with a tdelta attribute
if hasattr(duration, 'tdelta'):
return duration.tdelta
# If it's an isodate.Duration object with separate year, month, day, hour, minute, second attributes
days = int(duration.years) * 365 + int(duration.months) * 30 + int(duration.days)
seconds = int(duration.hours) * 3600 + int(duration.minutes) * 60 + int(duration.seconds)
seconds = duration.tdelta.seconds
return datetime.timedelta(days=days, seconds=seconds)
def timedelta_to_duration(delta):
@@ -861,6 +857,15 @@ def ensure_dialog_line_format(line:str):
elif segment_open is not None and segment_open != c:
# open segment is not the same as the current character
# opening - close the current segment and open a new one
# if we are at the last character we append the segment
if i == len(line)-1 and segment.strip():
segment += c
segments += [segment.strip()]
segment_open = None
segment = None
continue
segments += [segment.strip()]
segment_open = c
segment = c
@@ -876,14 +881,15 @@ def ensure_dialog_line_format(line:str):
segment += c
if segment is not None:
segments += [segment.strip()]
if segment.strip().strip("*").strip('"'):
segments += [segment.strip()]
for i in range(len(segments)):
segment = segments[i]
if segment in ['"', '*']:
if i > 0:
prev_segment = segments[i-1]
if prev_segment[-1] not in ['"', '*']:
if prev_segment and prev_segment[-1] not in ['"', '*']:
segments[i-1] = f"{prev_segment}{segment}"
segments[i] = ""
continue
@@ -924,4 +930,27 @@ def ensure_dialog_line_format(line:str):
elif next_segment and next_segment[0] == '*':
segments[i] = f"\"{segment}\""
return " ".join(segment for segment in segments if segment)
for i in range(len(segments)):
segments[i] = clean_uneven_markers(segments[i], '"')
segments[i] = clean_uneven_markers(segments[i], '*')
return " ".join(segment for segment in segments if segment).strip()
def clean_uneven_markers(chunk:str, marker:str):
# if there is an uneven number of quotes, remove the last one if its
# at the end of the chunk. If its in the middle, add a quote to the endc
count = chunk.count(marker)
if count % 2 == 1:
if chunk.endswith(marker):
chunk = chunk[:-1]
elif chunk.startswith(marker):
chunk = chunk[1:]
elif count == 1:
chunk = chunk.replace(marker, "")
else:
chunk += marker
return chunk

View File

@@ -64,12 +64,13 @@
}
},
"node_modules/@babel/code-frame": {
"version": "7.22.5",
"resolved": "https://registry.npmmirror.com/@babel/code-frame/-/code-frame-7.22.5.tgz",
"integrity": "sha512-Xmwn266vad+6DAqEB2A6V/CcZVp62BbwVmcOJc2RPuwih1kw02TjQvWVWlcKGbBPd+8/0V5DEkOcizRGYsspYQ==",
"version": "7.23.5",
"resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.23.5.tgz",
"integrity": "sha512-CgH3s1a96LipHCmSUmYFPwY7MNx8C3avkq7i4Wl3cfa662ldtUe4VM1TPXX70pfmrlWTb6jLqTYrZyT2ZTJBgA==",
"dev": true,
"dependencies": {
"@babel/highlight": "^7.22.5"
"@babel/highlight": "^7.23.4",
"chalk": "^2.4.2"
},
"engines": {
"node": ">=6.9.0"
@@ -129,12 +130,12 @@
}
},
"node_modules/@babel/generator": {
"version": "7.22.7",
"resolved": "https://registry.npmmirror.com/@babel/generator/-/generator-7.22.7.tgz",
"integrity": "sha512-p+jPjMG+SI8yvIaxGgeW24u7q9+5+TGpZh8/CuB7RhBKd7RCy8FayNEFNNKrNK/eUcY/4ExQqLmyrvBXKsIcwQ==",
"version": "7.23.5",
"resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.23.5.tgz",
"integrity": "sha512-BPssCHrBD+0YrxviOa3QzpqwhNIXKEtOa2jQrm4FlmkC2apYgRnQcmPWiGZDlGxiNtltnUFolMe8497Esry+jA==",
"dev": true,
"dependencies": {
"@babel/types": "^7.22.5",
"@babel/types": "^7.23.5",
"@jridgewell/gen-mapping": "^0.3.2",
"@jridgewell/trace-mapping": "^0.3.17",
"jsesc": "^2.5.1"
@@ -243,22 +244,22 @@
}
},
"node_modules/@babel/helper-environment-visitor": {
"version": "7.22.5",
"resolved": "https://registry.npmmirror.com/@babel/helper-environment-visitor/-/helper-environment-visitor-7.22.5.tgz",
"integrity": "sha512-XGmhECfVA/5sAt+H+xpSg0mfrHq6FzNr9Oxh7PSEBBRUb/mL7Kz3NICXb194rCqAEdxkhPT1a88teizAFyvk8Q==",
"version": "7.22.20",
"resolved": "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.22.20.tgz",
"integrity": "sha512-zfedSIzFhat/gFhWfHtgWvlec0nqB9YEIVrpuwjruLlXfUSnA8cJB0miHKwqDnQ7d32aKo2xt88/xZptwxbfhA==",
"dev": true,
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@babel/helper-function-name": {
"version": "7.22.5",
"resolved": "https://registry.npmmirror.com/@babel/helper-function-name/-/helper-function-name-7.22.5.tgz",
"integrity": "sha512-wtHSq6jMRE3uF2otvfuD3DIvVhOsSNshQl0Qrd7qC9oQJzHvOL4qQXlQn2916+CXGywIjpGuIkoyZRRxHPiNQQ==",
"version": "7.23.0",
"resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.23.0.tgz",
"integrity": "sha512-OErEqsrxjZTJciZ4Oo+eoZqeW9UIiOcuYKRJA4ZAgV9myA+pOXhhmpfNCKjEH/auVfEYVFJ6y1Tc4r0eIApqiw==",
"dev": true,
"dependencies": {
"@babel/template": "^7.22.5",
"@babel/types": "^7.22.5"
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<ClientModal :dialog="dialog" :formTitle="formTitle" @save="saveClient" @update:dialog="updateDialog"></ClientModal>
<ClientModal :dialog="dialog" :formTitle="formTitle" @save="saveClient" @error="propagateError" @update:dialog="updateDialog"></ClientModal>
<v-alert type="warning" variant="tonal" v-if="state.clients.length === 0">You have no LLM clients configured. Add one.</v-alert>
<v-btn @click="openModal" prepend-icon="mdi-plus-box">Add client</v-btn>
</div>
@@ -127,6 +127,9 @@ export default {
this.state.formTitle = 'Add Client';
this.state.dialog = true;
},
propagateError(error) {
this.$emit('error', error);
},
saveClient(client) {
const index = this.state.clients.findIndex(c => c.name === client.name);
if (index === -1) {
@@ -153,10 +156,13 @@ export default {
let agents = this.getAgents();
let client = this.state.clients[index];
this.saveClient(client);
for (let i = 0; i < agents.length; i++) {
agents[i].client = client.name;
this.$emit('client-assigned', agents);
console.log("Assigning client", client.name, "to agent", agents[i].name);
}
this.$emit('client-assigned', agents);
},
updateDialog(newVal) {
this.state.dialog = newVal;

View File

@@ -2,36 +2,37 @@
<v-dialog v-model="localDialog" persistent max-width="600px">
<v-card>
<v-card-title>
<span class="headline">{{ formTitle }}</span>
<v-icon>mdi-network-outline</v-icon>
<span class="headline">{{ title() }}</span>
</v-card-title>
<v-card-text>
<v-container>
<v-row>
<v-col cols="6">
<v-select v-model="client.type" :disabled="!typeEditable()" :items="['openai', 'textgenwebui', 'lmstudio']" label="Client Type"></v-select>
</v-col>
<v-col cols="6">
<v-text-field v-model="client.name" label="Client Name"></v-text-field>
</v-col>
<v-row>
<v-col cols="6">
<v-select v-model="client.type" :disabled="!typeEditable()" :items="['openai', 'textgenwebui', 'lmstudio']" label="Client Type" @update:model-value="resetToDefaults"></v-select>
</v-col>
<v-col cols="6">
<v-text-field v-model="client.name" label="Client Name"></v-text-field>
</v-col>
</v-row>
<v-row>
<v-col cols="12">
<v-text-field v-model="client.apiUrl" v-if="isLocalApiClient(client)" label="API URL"></v-text-field>
<v-select v-model="client.model" v-if="client.type === 'openai'" :items="['gpt-4-1106-preview', 'gpt-4', 'gpt-3.5-turbo', 'gpt-3.5-turbo-16k']" label="Model"></v-select>
</v-col>
</v-row>
<v-row>
<v-col cols="6">
<v-text-field v-model="client.max_token_length" v-if="isLocalApiClient(client)" type="number" label="Context Length"></v-text-field>
</v-col>
</v-row>
</v-row>
<v-row>
<v-col cols="12">
<v-text-field v-model="client.apiUrl" v-if="isLocalApiClient(client)" label="API URL"></v-text-field>
<v-select v-model="client.model" v-if="client.type === 'openai'" :items="['gpt-4-1106-preview', 'gpt-4', 'gpt-3.5-turbo', 'gpt-3.5-turbo-16k']" label="Model"></v-select>
</v-col>
</v-row>
<v-row>
<v-col cols="6">
<v-text-field v-model="client.max_token_length" v-if="isLocalApiClient(client)" type="number" label="Context Length"></v-text-field>
</v-col>
</v-row>
</v-container>
</v-card-text>
<v-card-actions>
<v-spacer></v-spacer>
<v-btn color="blue darken-1" text @click="close">Close</v-btn>
<v-btn color="blue darken-1" text @click="save">Save</v-btn>
<v-btn color="primary" text @click="close" prepend-icon="mdi-cancel">Cancel</v-btn>
<v-btn color="primary" text @click="save" prepend-icon="mdi-check-circle-outline">Save</v-btn>
</v-card-actions>
</v-card>
</v-dialog>
@@ -47,7 +48,25 @@ export default {
data() {
return {
localDialog: this.state.dialog,
client: { ...this.state.currentClient } // Define client data property
client: { ...this.state.currentClient },
defaultValuesByCLientType: {
// when client type is changed in the modal, these values will be used
// to populate the form
'textgenwebui': {
apiUrl: 'http://localhost:5000',
max_token_length: 4096,
name_prefix: 'TextGenWebUI',
},
'openai': {
model: 'gpt-4-1106-preview',
name_prefix: 'OpenAI',
},
'lmstudio': {
apiUrl: 'http://localhost:1234',
max_token_length: 4096,
name_prefix: 'LMStudio',
}
}
};
},
watch: {
@@ -68,13 +87,47 @@ export default {
}
},
methods: {
resetToDefaults() {
const defaults = this.defaultValuesByCLientType[this.client.type];
if (defaults) {
this.client.model = defaults.model || '';
this.client.apiUrl = defaults.apiUrl || '';
this.client.max_token_length = defaults.max_token_length || 4096;
// loop and build name from prefix, checking against current clients
let name = defaults.name_prefix;
let i = 2;
while (this.state.clients.find(c => c.name === name)) {
name = `${defaults.name_prefix} ${i}`;
i++;
}
this.client.name = name;
}
},
validateName() {
// if we are editing a client, we should exclude the current client from the check
if(!this.typeEditable()) {
return this.state.clients.findIndex(c => c.name === this.client.name && c.name !== this.state.currentClient.name) === -1;
}
return this.state.clients.findIndex(c => c.name === this.client.name) === -1;
},
typeEditable() {
return this.state.formTitle === 'Add Client';
},
title() {
return this.typeEditable() ? 'Add Client' : 'Edit Client';
},
close() {
this.$emit('update:dialog', false);
},
save() {
if(!this.validateName()) {
this.$emit('error', 'Client name already exists');
return;
}
this.$emit('save', this.client); // Emit save event with client object
this.close();
},

View File

@@ -0,0 +1,92 @@
<template>
<v-dialog v-model="showModal" max-width="800px">
<v-card>
<v-card-title class="headline">Your Character</v-card-title>
<v-card-text>
<v-alert type="info" variant="tonal" v-if="defaultCharacter.name === ''" density="compact">You have not yet
configured a default player character. This character will be used when a scenario is loaded that does not come
with a pre-defined player character.</v-alert>
<v-container>
<v-row>
<v-col cols="12" sm="6">
<v-text-field v-model="defaultCharacter.name" label="Name" :rules="[rules.required]"></v-text-field>
</v-col>
<v-col cols="12" sm="6">
<v-text-field v-model="defaultCharacter.gender" label="Gender" :rules="[rules.required]"></v-text-field>
</v-col>
</v-row>
<v-row>
<v-col cols="12">
<v-textarea v-model="defaultCharacter.description" label="Description" auto-grow></v-textarea>
</v-col>
</v-row>
</v-container>
</v-card-text>
<v-card-actions>
<v-spacer></v-spacer>
<v-btn color="primary" v-if="!saving" text @click="cancel" prepend-icon="mdi-cancel">Cancel</v-btn>
<v-progress-circular v-else indeterminate color="primary" size="20"></v-progress-circular>
<v-btn color="primary" text :disabled="saving" @click="saveDefaultCharacter" prepend-icon="mdi-check-circle-outline">Continue</v-btn>
</v-card-actions>
</v-card>
</v-dialog>
</template>
<script>
export default {
name: 'DefaultCharacter',
inject: ['getWebsocket', 'registerMessageHandler'],
data() {
return {
showModal: false,
saving: false,
defaultCharacter: {
name: '',
gender: '',
description: '',
color: '#3362bb'
},
rules: {
required: value => !!value || 'Required.'
}
};
},
methods: {
saveDefaultCharacter() {
// Send the new default character data to the server
this.saving = true;
this.getWebsocket().send(JSON.stringify({
type: 'config',
action: 'save_default_character',
data: this.defaultCharacter
}));
},
cancel() {
this.$emit("cancel");
this.closeModal();
},
open() {
this.saving = false;
this.showModal = true;
},
closeModal() {
this.showModal = false;
},
handleMessage(message) {
if (message.type == 'config') {
if (message.action == 'save_default_character_complete') {
this.closeModal();
this.$emit("save");
}
}
},
},
created() {
this.registerMessageHandler(this.handleMessage);
},
};
</script>
<style scoped>
/* Add any specific styles for your DefaultCharacter modal here */
</style>

View File

@@ -1,10 +1,13 @@
<template>
<v-list-subheader @click="toggle()" class="text-uppercase"><v-icon>mdi-script-text-outline</v-icon> Load
<v-list-subheader v-if="appConfig !== null" @click="toggle()" class="text-uppercase"><v-icon>mdi-script-text-outline</v-icon> Load
<v-progress-circular v-if="loading" indeterminate color="primary" size="20"></v-progress-circular>
<v-icon v-if="expanded" icon="mdi-chevron-down"></v-icon>
<v-icon v-else icon="mdi-chevron-up"></v-icon>
</v-list-subheader>
<v-list-item-group v-if="!loading && isConnected() && expanded && !configurationRequired()">
<v-list-subheader class="text-uppercase" v-else>
<v-progress-circular indeterminate color="primary" size="20"></v-progress-circular> Waiting for config...
</v-list-subheader>
<v-list-item-group v-if="!loading && isConnected() && expanded && !configurationRequired() && appConfig !== null">
<v-list-item>
<v-list-item-content class="mb-3">
<!-- Toggle buttons for switching between file upload and path input -->
@@ -43,12 +46,18 @@
<div v-else-if="configurationRequired()">
<v-alert type="warning" variant="tonal">You need to configure a Talemate client before you can load scenes.</v-alert>
</div>
<DefaultCharacter ref="defaultCharacterModal" @save="loadScene" @cancel="loadCanceled"></DefaultCharacter>
</template>
<script>
import DefaultCharacter from './DefaultCharacter.vue';
export default {
name: 'LoadScene',
components: {
DefaultCharacter,
},
data() {
return {
loading: false,
@@ -60,10 +69,16 @@ export default {
sceneSearchLoading: false,
sceneSaved: null,
expanded: true,
appConfig: null, // Store the app configuration
}
},
inject: ['getWebsocket', 'registerMessageHandler', 'isConnected', 'configurationRequired'],
methods: {
// Method to show the DefaultCharacter modal
showDefaultCharacterModal() {
this.$refs.defaultCharacterModal.open();
},
toggle() {
this.expanded = !this.expanded;
},
@@ -89,6 +104,12 @@ export default {
this.loading = true;
this.getWebsocket().send(JSON.stringify({ type: 'load_scene', file_path: "environment:creative" }));
},
loadCanceled() {
console.log("Load canceled");
this.loading = false;
this.sceneFile = [];
},
loadScene() {
if(this.sceneSaved === false) {
@@ -97,13 +118,26 @@ export default {
}
}
this.loading = true;
this.sceneSaved = null;
if (this.inputMethod === 'file' && this.sceneFile.length > 0) { // Check if the input method is "file" and there is at least one file
// if file is image check if default character is set
if(this.sceneFile[0].type.startsWith("image/")) {
if(!this.appConfig.game.default_player_character.name) {
this.showDefaultCharacterModal();
return;
}
}
this.loading = true;
// Convert the uploaded file to base64
const reader = new FileReader();
reader.readAsDataURL(this.sceneFile[0]); // Access the first file in the array
reader.onload = () => {
//const base64File = reader.result.split(',')[1];
this.$emit("loading", true)
this.getWebsocket().send(JSON.stringify({
type: 'load_scene',
scene_data: reader.result,
@@ -112,11 +146,28 @@ export default {
this.sceneFile = [];
};
} else if (this.inputMethod === 'path' && this.sceneInput) { // Check if the input method is "path" and the scene input is not empty
// if path ends with .png/jpg/webp check if default character is set
if(this.sceneInput.endsWith(".png") || this.sceneInput.endsWith(".jpg") || this.sceneInput.endsWith(".webp")) {
if(!this.appConfig.game.default_player_character.name) {
this.showDefaultCharacterModal();
return;
}
}
this.loading = true;
this.$emit("loading", true)
this.getWebsocket().send(JSON.stringify({ type: 'load_scene', file_path: this.sceneInput }));
this.sceneInput = '';
}
},
handleMessage(data) {
// Handle app configuration
if (data.type === 'app_config') {
this.appConfig = data.data;
console.log("App config", this.appConfig);
}
// Scene loaded
if (data.type === "system") {
@@ -139,10 +190,11 @@ export default {
return;
}
}
},
},
created() {
this.registerMessageHandler(this.handleMessage);
//this.getWebsocket().send(JSON.stringify({ type: 'request_config' })); // Request the current app configuration
},
mounted() {
console.log("Websocket", this.getWebsocket()); // Check if websocket is available

View File

@@ -11,7 +11,7 @@
Make sure the backend process is running.
</p>
</v-alert>
<LoadScene ref="loadScene" />
<LoadScene ref="loadScene" @loading="sceneStartedLoading" />
<v-divider></v-divider>
<div :style="(sceneActive && scene.environment === 'scene' ? 'display:block' : 'display:none')">
<!-- <GameOptions v-if="sceneActive" ref="gameOptions" /> -->
@@ -39,7 +39,7 @@
Clients</v-list-subheader>
<v-list-item-group>
<v-list-item>
<AIClient ref="aiClient" @save="saveClients" @clients-updated="saveClients" @client-assigned="saveAgents"></AIClient>
<AIClient ref="aiClient" @save="saveClients" @error="uxErrorHandler" @clients-updated="saveClients" @client-assigned="saveAgents"></AIClient>
</v-list-item>
</v-list-item-group>
<v-divider></v-divider>
@@ -429,7 +429,7 @@ export default {
let agent = this.$refs.aiAgent.getActive();
if (agent) {
return agent.name;
return agent.label;
}
return null;
},
@@ -448,6 +448,14 @@ export default {
openAppConfig() {
this.$refs.appConfig.show();
},
uxErrorHandler(error) {
this.errorNotification = true;
this.errorMessage = error;
},
sceneStartedLoading() {
this.loading = true;
this.sceneActive = false;
}
}
}
</script>

View File

@@ -0,0 +1,2 @@
SYSTEM: {{ system_message }}
USER: {{ set_response(prompt, "\nASSISTANT: ") }}

View File

@@ -0,0 +1,4 @@
{{ system_message }}
### Instruction:
{{ set_response(prompt, "\n\n### Response:\n") }}

View File

@@ -0,0 +1 @@
User: {{ system_message }} {{ set_response(prompt, "\nAssistant: ") }}

View File

@@ -0,0 +1 @@
GPT4 Correct System: {{ system_message }}<|end_of_turn|>GPT4 Correct User: {{ set_response(prompt, "<|end_of_turn|>GPT4 Correct Assistant:") }}

0
tests/conftest.py Normal file
View File

View File

@@ -0,0 +1,21 @@
import pytest
from talemate.util import ensure_dialog_format
@pytest.mark.parametrize("input, expected", [
('Hello how are you?', 'Hello how are you?'),
('"Hello how are you?"', '"Hello how are you?"'),
('"Hello how are you?" he asks "I am fine"', '"Hello how are you?" *he asks* "I am fine"'),
('Hello how are you? *he asks* I am fine', '"Hello how are you?" *he asks* "I am fine"'),
('Hello how are you?" *he asks* I am fine', '"Hello how are you?" *he asks* "I am fine"'),
('Hello how are you?" *he asks I am fine', '"Hello how are you?" *he asks I am fine*'),
('Hello how are you?" *he asks* "I am fine" *', '"Hello how are you?" *he asks* "I am fine"'),
('"Hello how are you *he asks* I am fine"', '"Hello how are you" *he asks* "I am fine"'),
('This is a string without any markers', 'This is a string without any markers'),
('This is a string with an ending quote"', '"This is a string with an ending quote"'),
('This is a string with an ending asterisk*', '*This is a string with an ending asterisk*'),
('"Mixed markers*', '*Mixed markers*'),
])
def test_dialogue_cleanup(input, expected):
assert ensure_dialog_format(input) == expected

38
tests/test_isodate.py Normal file
View File

@@ -0,0 +1,38 @@
from talemate.util import (
iso8601_add,
iso8601_correct_duration,
iso8601_diff,
iso8601_diff_to_human,
iso8601_duration_to_human,
parse_duration_to_isodate_duration,
timedelta_to_duration,
duration_to_timedelta,
isodate
)
def test_isodate_utils():
date1 = "P11MT15M"
date2 = "PT1S"
duration1= parse_duration_to_isodate_duration(date1)
assert duration1.months == 11
assert duration1.tdelta.seconds == 900
duration2 = parse_duration_to_isodate_duration(date2)
assert duration2.seconds == 1
timedelta1 = duration_to_timedelta(duration1)
assert timedelta1.seconds == 900
assert timedelta1.days == 11*30, timedelta1.days
timedelta2 = duration_to_timedelta(duration2)
assert timedelta2.seconds == 1
parsed = parse_duration_to_isodate_duration("P11MT14M59S")
assert iso8601_diff(date1, date2) == parsed, parsed
assert iso8601_duration_to_human(date1) == "11 Months and 15 Minutes ago", iso8601_duration_to_human(date1)
assert iso8601_duration_to_human(date2) == "1 Second ago", iso8601_duration_to_human(date2)
assert iso8601_duration_to_human(iso8601_diff(date1, date2)) == "11 Months, 14 Minutes and 59 Seconds ago", iso8601_duration_to_human(iso8601_diff(date1, date2))