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Update app.py
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app.py
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import gradio as gr
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from huggingface_hub import InferenceClient
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#
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css = """
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body {
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background-image: url('https://cdn-uploads.huggingface.co/production/uploads/67351c643fe51cb1aa28f2e5/YcsJnPk8HJvXiB5WkVmf1.jpeg');
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box-shadow: 0 0 12px rgba(0, 0, 0, 0.3);
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overflow-y: auto;
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}
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/* Improved title styling */
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.gradio-container .chatbot h1 {
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color: var(--custom-title-color) !important;
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font-family: 'Noto Sans', serif !important;
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font-size: 5rem !important;
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font-weight: bold !important;
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text-align: center !important;
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margin-bottom: 1.5rem !important;
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width: 100%;
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}
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"""
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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messages = [{"role": "system", "content": system_message}]
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# Handle history
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if history and isinstance(history[0], tuple):
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# Old tuple format
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for user_msg, assistant_msg in history:
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if user_msg:
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messages.append({"role": "user", "content": user_msg})
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if assistant_msg:
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messages.append({"role": "assistant", "content": assistant_msg})
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else:
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# New messages format
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messages.extend(history)
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messages.append({"role": "user", "content": message})
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response = ""
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with gr.Blocks(css=css) as demo:
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# Title Markdown block
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gr.Markdown("French Instructor", elem_id="custom-title")
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with gr.Column(elem_id="chat-panel"):
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with gr.Accordion("Advanced Settings", open=False):
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)
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max_tokens = gr.Slider(
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step=1,
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label="Response Length"
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)
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temperature = gr.Slider(
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minimum=0.1,
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maximum=4.0,
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value=0.7,
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step=0.1,
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label="Creativity"
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)
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top_p = gr.Slider(
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minimum=0.1,
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maximum=1.0,
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value=0.95,
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step=0.05,
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label="Dynamic Text"
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)
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gr.ChatInterface(
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respond,
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additional_inputs=[
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max_tokens,
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temperature,
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top_p
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],
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type="messages" # Set to new message format
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)
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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from huggingface_hub import InferenceClient
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# Background CSS
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css = """
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body {
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background-image: url('https://cdn-uploads.huggingface.co/production/uploads/67351c643fe51cb1aa28f2e5/YcsJnPk8HJvXiB5WkVmf1.jpeg');
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box-shadow: 0 0 12px rgba(0, 0, 0, 0.3);
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overflow-y: auto;
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}
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.gradio-container .chatbot h1 {
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color: var(--custom-title-color) !important;
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font-family: 'Noto Sans', serif !important;
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font-size: 5rem !important;
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font-weight: bold !important;
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text-align: center !important;
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margin-bottom: 1.5rem !important;
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width: 100%;
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}
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"""
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# Model client (consider switching to a public model like mistralai if 401 persists)
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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# Level prompt selector
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def level_to_prompt(level):
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return {
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"A1": "You are a friendly French tutor. Speak mostly in English, use simple French, and explain everything.",
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"A2": "You are a patient French tutor. Use short French phrases and explain them in English.",
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"B1": "You are a helpful French tutor. Speak mostly in French but clarify in English when needed.",
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"B2": "You are a French tutor. Speak primarily in French with rare English support.",
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"C1": "You are a native French tutor. Speak entirely in French, clearly and professionally.",
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"C2": "You are a native French professor. Speak in rich, complex French. Avoid English."
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}.get(level, "You are a helpful French tutor.")
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# Chat handler
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def respond(message, history, user_level, max_tokens, temperature, top_p):
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system_message = level_to_prompt(user_level)
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messages = [{"role": "system", "content": system_message}]
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# Handle history
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if history and isinstance(history[0], tuple):
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for user_msg, assistant_msg in history:
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if user_msg:
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messages.append({"role": "user", "content": user_msg})
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if assistant_msg:
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messages.append({"role": "assistant", "content": assistant_msg})
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else:
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messages.extend(history)
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messages.append({"role": "user", "content": message})
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response = ""
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try:
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for msg in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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stream=True,
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temperature=temperature,
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top_p=top_p,
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):
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token = msg.choices[0].delta.content
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if token:
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response += token
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yield response
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except Exception as e:
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yield f"Désolé! There was an error: {str(e)}"
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# Gradio interface
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with gr.Blocks(css=css) as demo:
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gr.Markdown("French Instructor", elem_id="custom-title")
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with gr.Column(elem_id="chat-panel"):
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with gr.Accordion("⚙️ Advanced Settings", open=False):
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user_level = gr.Dropdown(
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choices=["A1", "A2", "B1", "B2", "C1", "C2"],
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value="A1",
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label="Your French Level (CEFR)"
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)
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max_tokens = gr.Slider(1, 2048, value=512, step=1, label="Response Length")
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temperature = gr.Slider(0.1, 4.0, value=0.7, step=0.1, label="Creativity")
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top_p = gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Dynamic Text Sampling")
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gr.ChatInterface(
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respond,
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additional_inputs=[user_level, max_tokens, temperature, top_p],
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type="messages"
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)
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if __name__ == "__main__":
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demo.launch()
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