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'])