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Update app.py
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app.py
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@@ -74,32 +74,32 @@ with demo:
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response += char
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yield [(f"π€ Response from LLM: {chat_model_selection}", response)] # Correct format for Gradio Chatbot
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#
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with gr.Blocks() as chat_interface:
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chat_interface.launch()
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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with gr.TabItem("π LLM Leadeboard", elem_id="llm-benchmark-table", id=0):
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response += char
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yield [(f"π€ Response from LLM: {chat_model_selection}", response)] # Correct format for Gradio Chatbot
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#
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#with gr.Blocks() as chat_interface:
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# chatbot = gr.Chatbot()
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# msg = gr.Textbox()
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# submit = gr.Button("Submit")
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# clear = gr.Button("Clear")
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#
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# def user(user_message, history):
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# return "", history + [[user_message, None]]
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#
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# def clear_chat(*args):
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# return [] # Returning an empty list to signify clearing the chat, adjust as per Gradio's capabilities
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#
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# submit.click(
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# fn=get_response,
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# inputs=[msg, chatbot],
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# outputs=chatbot
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# )
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#
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# clear.click(
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# fn=clear_chat,
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# inputs=None,
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# outputs=chatbot
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# )
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#
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#chat_interface.queue()
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#chat_interface.launch()
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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with gr.TabItem("π LLM Leadeboard", elem_id="llm-benchmark-table", id=0):
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