Update app.py
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app.py
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import gradio as gr
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from mistralai import Mistral
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#
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def chat_with_mistral(user_input, history):
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"""Handles chat with Mistral LLM."""
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try:
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# Convert chat history to message format
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messages = [{"role": "system", "content": "You are a helpful medical assistant specialized in skin and acne care."}]
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for human, ai in history:
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messages.append({"role": "user", "content": human})
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messages.append({"role": "assistant", "content": ai})
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messages.append({"role": "user", "content": user_input})
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# Query Mistral API
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response = client.chat.complete(
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model="mistral-medium",
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messages=messages
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)
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# ✅ Correct way to extract text
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reply = response.choices[0].message.content
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history.append((user_input, reply))
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return history, ""
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except Exception as e:
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error_msg = f"⚠️
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history.append((user_input, error_msg))
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return history, ""
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# Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("## 💬 Mistral Chatbot — Skin & Acne Specialist")
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import os
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import gradio as gr
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from mistralai import Mistral
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# Fetch the API key from environment variables (set in Hugging Face secrets)
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api_key = os.getenv("MISTRAL_API_KEY")
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if not api_key:
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raise ValueError("⚠️ Missing MISTRAL_API_KEY. Please set it in the Space settings.")
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client = Mistral(api_key=api_key)
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def chat_with_mistral(user_input, history):
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"""Handles chat with Mistral LLM."""
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try:
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messages = [{"role": "system", "content": "You are a helpful medical assistant specialized in skin and acne care."}]
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for human, ai in history:
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messages.append({"role": "user", "content": human})
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messages.append({"role": "assistant", "content": ai})
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messages.append({"role": "user", "content": user_input})
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response = client.chat.complete(
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model="mistral-medium",
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messages=messages
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)
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reply = response.choices[0].message.content
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history.append((user_input, reply))
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return history, ""
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except Exception as e:
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error_msg = f"⚠️ API error occurred: {str(e)}"
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history.append((user_input, error_msg))
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return history, ""
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with gr.Blocks() as demo:
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gr.Markdown("## 💬 Mistral Chatbot — Skin & Acne Specialist")
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