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Update app.py
Browse files-- HF Chat fixes
app.py
CHANGED
@@ -11,14 +11,18 @@ def respond(message, history, token, model, system_message, max_tokens, temperat
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# Default model selection logic
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if not token:
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-
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try:
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client = InferenceClient(model=model)
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except Exception as e:
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yield f"Error initializing client: {str(e)}"
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return
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else:
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-
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try:
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client = InferenceClient(model=model, token=token)
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except Exception as e:
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@@ -53,26 +57,24 @@ def respond(message, history, token, model, system_message, max_tokens, temperat
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# Input components
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token_input = gr.Textbox(
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type="password",
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label="HF API Token (leave empty for public
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placeholder="hf_XXXXXXXXXXXX"
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)
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model_input = gr.
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label="Model Name",
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-
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],
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value="HuggingFaceH4/zephyr-7b-beta"
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)
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# Chat interface
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demo = gr.ChatInterface(
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fn=respond,
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title="HF Model
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description="
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additional_inputs=[
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token_input,
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model_input,
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gr.Textbox(value="You are helpful AI.", label="System Message"),
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gr.Slider(1, 2048, value=512, label="Max Tokens"),
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gr.Slider(0.1, 4.0, value=0.7, label="Temperature"),
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gr.Slider(0.1, 1.0, value=0.95, label="Top-p"),
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# Default model selection logic
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if not token:
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# Use default public model when no token is provided
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model = "HuggingFaceH4/zephyr-7b-beta"
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try:
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client = InferenceClient(model=model)
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except Exception as e:
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yield f"Error initializing client: {str(e)}"
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return
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else:
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# Require model name when token is provided
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if not model:
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yield "Please provide a model name when using an HF token."
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return
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try:
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client = InferenceClient(model=model, token=token)
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except Exception as e:
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# Input components
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token_input = gr.Textbox(
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type="password",
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label="HF API Token (leave empty for public model)",
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placeholder="hf_XXXXXXXXXXXX"
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)
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model_input = gr.Textbox(
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label="Model Name (required if using token)",
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placeholder="Enter model name when using token",
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visible=True
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)
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# Chat interface
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demo = gr.ChatInterface(
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fn=respond,
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title="XYIZKO HF Text Generation Model Tester",
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description="Uses Zephyr-7b-beta by default. Add token + model name for private models",
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additional_inputs=[
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token_input,
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model_input,
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gr.Textbox(value="You are helpful AI chatbot who reponds like a mideval knight who is extremely polite and noble.", label="System Message"),
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gr.Slider(1, 2048, value=512, label="Max Tokens"),
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gr.Slider(0.1, 4.0, value=0.7, label="Temperature"),
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gr.Slider(0.1, 1.0, value=0.95, label="Top-p"),
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