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Role: You are an expert Python backend developer specializing in building AI-powered services.
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API Documentation
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<h2 class="text-2xl font-semibold text-gray-800 mb-4">Chat Endpoint</h2>
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<code class="text-sm">POST /chat</code>
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<h3 class="text-lg font-semibold text-gray-800 mb-2">Request Body</h3>
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<code>{
"message": "string",
"user_id": "string"
}</code></pre>
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<h3 class="text-lg font-semibold text-gray-800 mb-2">Response</h3>
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<code>{
"response": "string"
}</code></pre>
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<h3 class="text-lg font-semibold text-gray-800 mb-2">Example</h3>
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<p class="text-sm text-gray-700 mb-2">Using curl:</p>
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<code>curl -X POST "http://localhost:8000/chat" \
-H "Content-Type: application/json" \
-d '{
"message": "What should I eat after a workout?",
"user_id": "user123"
}'</code></pre>
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Important Notes
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<li>• The server must be running on localhost:8000</li>
<li>• A valid Hugging Face API key is required in the .env file</li>
<li>• Conversation history is stored in memory and resets on server restart</li>
<li>• All responses are generated using the Mistral-7B-Instruct model</li>
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Interactive API Docs
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