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Dockerfile

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+# Use official Python 3.12.4 image
+FROM python:3.12.4-slim
+
+# FROM python:3.9
+
+RUN useradd -m -u 1000 user
+USER user
+ENV PATH="/home/user/.local/bin:$PATH"
+
+WORKDIR /app
+
+COPY --chown=user ./requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+COPY --chown=user . /app
+CMD ["gunicorn","-b", "0.0.0.0:7860", "main:app"]

main.py

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+from flask import Flask, request, jsonify
+import google.generativeai as genai
+import os
+
+# Configure API key
+GOOGLE_API_KEY = "AIzaSyAbr-HbJamF1hrZOMaKPMiiXQxRgEd0o4g"  # Or hardcode for testing
+genai.configure(api_key=GOOGLE_API_KEY)
+
+# Initialize model
+model = genai.GenerativeModel("gemini-pro")
+
+Medical_prompt = """you are sahha chatbot ,You are a knowledgeable medical expert. Analyze the provided medical input and generate a comprehensive, informative response that addresses the patient's query or medical scenario.
+### Input:
+{input_text}
+### Response:
+"""
+
+def generate_response(input_text):
+    prompt = Medical_prompt.format(input_text=input_text)
+    try:
+        response = model.generate_content(prompt)
+        return response.text.strip()
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+app = Flask(__name__)
+
+@app.route('/', methods=['GET'])
+def home():
+    return "✅ Sahha chatbot using Gemini is Running", 200
+
+@app.route('/Q&A', methods=['POST'])
+def QandAnswer():
+    try:
+        user_input = request.json.get('input_text')
+        if not user_input:
+            return jsonify({'error': 'Missing input_text'}), 400
+
+        response = generate_response(user_input)
+        return jsonify({'Answers': response})
+
+    except Exception as e:
+        return jsonify({'error': str(e)}), 500

requirements.txt

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+Flask==3.1.1
+google-generativeai==0.4.1
+gunicorn==21.2.0
+certifi==2025.4.26
+charset-normalizer==3.4.2
+idna==3.10
+requests==2.32.3
+urllib3==2.4.0
+Werkzeug==3.1.3
+Jinja2==3.1.6
+MarkupSafe==3.0.2
+itsdangerous==2.2.0