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Update app.py
Browse files
app.py
CHANGED
@@ -902,21 +902,15 @@ with gr.Blocks(css=css) as demo:
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#total_tokens_str = gr.Markdown(elem_id="total_tokens_str")
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btn_clear_conversation = gr.Button("Start New Conversation")
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temperature = ""
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max_tokens = ""
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context_length = ""
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"""
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with gr.Column():
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prompt_template = gr.Dropdown(label="Choose an Expert:", choices=list(prompt_templates.keys()))
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prompt_template_preview = gr.Markdown(elem_id="prompt_template_preview")
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with gr.Accordion("Advanced parameters", open=False):
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temperature = gr.Slider(minimum=0, maximum=2.0, value=0.7, step=0.1, label="Flexibility", info="Higher = More AI, Lower = More Expert")
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max_tokens = gr.Slider(minimum=100, maximum=400, value=200, step=1, label="Length of Response.")
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context_length = gr.Slider(minimum=1, maximum=5, value=2, step=1, label="Context Length", info="Number of previous questions you have asked.")
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btn_submit.click(submit_message, [ input_message, prompt_template, temperature, max_tokens, context_length, state], [input_message, chatbot, state])
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input_message.submit(submit_message, [ input_message, prompt_template, temperature, max_tokens, context_length, state], [input_message, chatbot, state])
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#total_tokens_str = gr.Markdown(elem_id="total_tokens_str")
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btn_clear_conversation = gr.Button("Start New Conversation")
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with gr.Columnv(visible=False):
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prompt_template = gr.Dropdown(label="Choose an Expert:", choices=list(prompt_templates.keys()))
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prompt_template_preview = gr.Markdown(elem_id="prompt_template_preview")
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with gr.Accordion("Advanced parameters", open=False):
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temperature = gr.Slider(minimum=0, maximum=2.0, value=0.7, step=0.1, label="Flexibility", info="Higher = More AI, Lower = More Expert")
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max_tokens = gr.Slider(minimum=100, maximum=400, value=200, step=1, label="Length of Response.")
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context_length = gr.Slider(minimum=1, maximum=5, value=2, step=1, label="Context Length", info="Number of previous questions you have asked.")
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btn_submit.click(submit_message, [ input_message, prompt_template, temperature, max_tokens, context_length, state], [input_message, chatbot, state])
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input_message.submit(submit_message, [ input_message, prompt_template, temperature, max_tokens, context_length, state], [input_message, chatbot, state])
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