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Update app.py
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app.py
CHANGED
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@@ -6,10 +6,6 @@ import json
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ACCESS_TOKEN = os.getenv("HF_TOKEN")
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print("Access token loaded.")
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# Initialize the HF Inference Client
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client = InferenceClient(token=ACCESS_TOKEN)
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print("Hugging Face Inference Client initialized.")
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def respond(
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message,
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history: list[tuple[str, str]],
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@@ -30,6 +26,11 @@ def respond(
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print(f"Selected model (custom_model): {custom_model}")
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print(f"Selected provider: {provider}")
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# Convert seed to None if -1 (meaning random)
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if seed == -1:
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seed = None
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@@ -72,14 +73,14 @@ def respond(
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if seed is not None:
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parameters["seed"] = seed
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# Use the InferenceClient for making the request
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try:
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# Create a generator for the streaming response
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stream = client.chat_completion(
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model=model_to_use,
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messages=messages,
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stream=True,
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provider=provider, # Use the selected provider
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**parameters # Pass all other parameters
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)
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ACCESS_TOKEN = os.getenv("HF_TOKEN")
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print("Access token loaded.")
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def respond(
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message,
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history: list[tuple[str, str]],
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print(f"Selected model (custom_model): {custom_model}")
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print(f"Selected provider: {provider}")
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# Initialize the Inference Client with the provider
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# Provider is specified during initialization, not in the method call
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client = InferenceClient(token=ACCESS_TOKEN, provider=provider)
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print(f"Hugging Face Inference Client initialized with {provider} provider.")
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# Convert seed to None if -1 (meaning random)
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if seed == -1:
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seed = None
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if seed is not None:
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parameters["seed"] = seed
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# Use the InferenceClient for making the request
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try:
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# Create a generator for the streaming response
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# The provider is already set when initializing the client
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stream = client.chat_completion(
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model=model_to_use,
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messages=messages,
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stream=True,
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**parameters # Pass all other parameters
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)
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