diff --git a/infer-web.py b/infer-web.py
index 9af4221..13c4b32 100644
--- a/infer-web.py
+++ b/infer-web.py
@@ -1072,7 +1072,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as app:
                             interactive=True,
                         )
                         crepe_hop_length = gr.Slider(
-                            minimum=32,
+                            minimum=1,
                             maximum=512,
                             step=32,
                             label=i18n("crepe_hop_length"),
diff --git a/requirements.txt b/requirements.txt
index 125bbd3..b600fc9 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -29,8 +29,8 @@ tensorboard
 tensorboard-data-server
 tensorboard-plugin-wit
 torchgen>=0.0.1
-torch
-torchcrepe
+torch==2.0.0
+torchcrepe==0.0.18
 tqdm>=4.65.0
 tornado>=6.2
 Werkzeug>=2.2.3
diff --git a/vc_infer_pipeline.py b/vc_infer_pipeline.py
index a678ae9..eca79af 100644
--- a/vc_infer_pipeline.py
+++ b/vc_infer_pipeline.py
@@ -33,7 +33,7 @@ class VC(object):
     def get_optimal_torch_device(index: int = 0) -> torch.device:
         # Get cuda device
         if torch.cuda.is_available():
-            return torch.device(f"cuda:{index % torch.cuda.device_count()}")
+            return torch.device("cuda:" + str(index)) # Very fast
         elif torch.backends.mps.is_available():
             return torch.device("mps")
         # Insert an else here to grab "xla" devices if available. TO DO later. Requires the torch_xla.core.xla_model library