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Update app.py
Browse files
app.py
CHANGED
@@ -23,6 +23,7 @@ def respond(
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seed,
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custom_model
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):
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print(f"Received message: {message}")
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print(f"History: {history}")
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print(f"System message: {system_message}")
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@@ -79,20 +80,10 @@ def respond(
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# GRADIO UI
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chatbot = gr.Chatbot(
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height=600,
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show_copy_button=True,
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placeholder="Select a model and begin chatting",
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likeable=True,
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layout="panel",
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)
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print("Chatbot interface created.")
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system_message_box = gr.Textbox(
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value="",
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placeholder="You are a helpful assistant.",
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label="System Prompt"
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)
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max_tokens_slider = gr.Slider(
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minimum=1,
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@@ -130,21 +121,18 @@ seed_slider = gr.Slider(
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label="Seed (-1 for random)"
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)
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#
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custom_model_box = gr.Textbox(
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value="",
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label="Custom Model",
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info="(Optional) Provide a custom Hugging Face model path. Overrides any selected featured model.",
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placeholder="meta-llama/Llama-3.3-70B-Instruct"
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interactive=True
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)
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print("Custom model box created.")
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def set_custom_model_from_radio(selected):
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"""
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This function will get triggered whenever someone picks a model
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Model text box with that selection automatically.
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"""
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print(f"Featured model selected: {selected}")
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return selected
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@@ -158,7 +146,7 @@ demo = gr.ChatInterface(
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top_p_slider,
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frequency_penalty_slider,
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seed_slider,
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custom_model_box,
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],
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fill_height=True,
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chatbot=chatbot,
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@@ -168,9 +156,6 @@ print("ChatInterface object created.")
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with demo:
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with gr.Accordion("Model Selection", open=False):
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# Place the custom_model_box at the top here
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custom_model_box
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model_search_box = gr.Textbox(
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label="Filter Models",
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placeholder="Search for a featured model...",
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seed,
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custom_model
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):
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+
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print(f"Received message: {message}")
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print(f"History: {history}")
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print(f"System message: {system_message}")
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# GRADIO UI
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chatbot = gr.Chatbot(height=600, show_copy_button=True, placeholder="Select a model and begin chatting", likeable=True, layout="panel")
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print("Chatbot interface created.")
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system_message_box = gr.Textbox(value="", placeholder="You are a helpful assistant.", label="System Prompt")
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max_tokens_slider = gr.Slider(
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minimum=1,
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label="Seed (-1 for random)"
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)
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# The custom_model_box is what the respond function sees as "custom_model"
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custom_model_box = gr.Textbox(
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value="",
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label="Custom Model",
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info="(Optional) Provide a custom Hugging Face model path. Overrides any selected featured model.",
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placeholder="meta-llama/Llama-3.3-70B-Instruct"
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)
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def set_custom_model_from_radio(selected):
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"""
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This function will get triggered whenever someone picks a model from the 'Featured Models' radio.
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We will update the Custom Model text box with that selection automatically.
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"""
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print(f"Featured model selected: {selected}")
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return selected
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top_p_slider,
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frequency_penalty_slider,
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seed_slider,
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custom_model_box,
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],
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fill_height=True,
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chatbot=chatbot,
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with demo:
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with gr.Accordion("Model Selection", open=False):
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model_search_box = gr.Textbox(
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label="Filter Models",
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placeholder="Search for a featured model...",
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