Update main.py

main.py

@@ -3,35 +3,35 @@ import google.generativeai as genai
 import os
 
 import os
-# api_key = os.getenv("api_key")
-# # Configure API key
-# GOOGLE_API_KEY = api_key # Or hardcode for testing
-# genai.configure(api_key=GOOGLE_API_KEY)
+api_key = os.getenv("api_key")
+# Configure API key
+GOOGLE_API_KEY = api_key # Or hardcode for testing
+genai.configure(api_key=GOOGLE_API_KEY)
 
-# # Initialize model
-# model = genai.GenerativeModel('gemini-1.5-flash')
-
-# 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 and give me brief answer in short .
-# ### 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)}"
+# Initialize model
+model = genai.GenerativeModel('gemini-1.5-flash')
 
+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 and give me brief answer in short .
+### Input:
+{input_text}
+### Response:
+"""
 
 def generate_response(input_text):
+    prompt = Medical_prompt.format(input_text=input_text)
     try:
-        return "Hello"
+        response = model.generate_content(prompt)
+        return response.text.strip()
     except Exception as e:
         return f"❌ Error: {str(e)}"
 
+
+# def generate_response(input_text):
+#     try:
+#         return "Hello"
+#     except Exception as e:
+#         return f"❌ Error: {str(e)}"
+
 app = Flask(__name__)
 
 @app.route('/', methods=['GET'])