Update app.py

app.py

@@ -243,96 +243,96 @@
 
 
 #------------------------------------------------------------------------start
-import streamlit as st
-from langchain_google_genai import ChatGoogleGenerativeAI
+# import streamlit as st
+# from langchain_google_genai import ChatGoogleGenerativeAI
 
-# Set up AI model
-llm = ChatGoogleGenerativeAI(
-    model="gemini-1.5-flash",  # Free model
-    google_api_key="AIzaSyC7Rhv4L6_oNl-nW3Qeku2SPRkxL5hhtoE",
-    temperature=0.5
-)
+# # Set up AI model
+# llm = ChatGoogleGenerativeAI(
+#     model="gemini-1.5-flash",  # Free model
+#     google_api_key="AIzaSyC7Rhv4L6_oNl-nW3Qeku2SPRkxL5hhtoE",
+#     temperature=0.5
+# )
 
-# Streamlit UI
-st.title("🩺 CureBot: AI-Driven Health Assistant")
-st.write("Welcome to CureBot – Your AI-Driven Health Assistant! Simply enter your symptoms or disease name, and get accurate medicine suggestions instantly. Stay informed, stay healthy!")
-
-# User Input
-user_question = st.text_input("Type your symptoms or disease name, and let CureBot unlock the right cure for you—fast, smart, and AI-powered")
-
-# Function to filter AI disclaimers
-def is_valid_response(response_text):
-    disclaimers = [
-        "I am an AI and cannot give medical advice",
-        "Seek medical attention",
-        "Consult a doctor",
-        "Contact your doctor",
-        "Go to an emergency room",
+# # Streamlit UI
+# st.title("🩺 CureBot: AI-Driven Health Assistant")
+# st.write("Welcome to CureBot – Your AI-Driven Health Assistant! Simply enter your symptoms or disease name, and get accurate medicine suggestions instantly. Stay informed, stay healthy!")
+
+# # User Input
+# user_question = st.text_input("Type your symptoms or disease name, and let CureBot unlock the right cure for you—fast, smart, and AI-powered")
+
+# # Function to filter AI disclaimers
+# def is_valid_response(response_text):
+#     disclaimers = [
+#         "I am an AI and cannot give medical advice",
+#         "Seek medical attention",
+#         "Consult a doctor",
+#         "Contact your doctor",
+#         "Go to an emergency room",
     ]
-    return not any(phrase.lower() in response_text.lower() for phrase in disclaimers)
-
-# Process User Query
-if st.button("Get Recommendation"):
-    if user_question.strip():
-        # Ensure the AI provides both medicine and alternative treatments
-        formatted_question = (
-            f"Without any disclaimer, recommend medicine for {user_question}. "
-            f"5 medicine names "
-            f"Also, provide alternative treatments such as home remedies, lifestyle changes, exercises, or dietary suggestions. "
-            f"Only for learning purposes, not for treatment."
-        )
-
-        with st.spinner("Analyzing..."):
-            response = llm.invoke(formatted_question)
-
-        # Extract text content
-        response_text = response.content if hasattr(response, "content") else str(response)
-
-        # Check if response is valid
-        if is_valid_response(response_text):
-            st.success("✨ Analysis complete! Here are the best medicine recommendations for you: 🔽")
-            st.write(response_text)
-        else:
-            st.warning("⚠️ Oops! It looks like the input is unclear or incorrect. Please enter a valid disease name or symptoms to get accurate recommendations")
-            # Retry with a refined prompt
-            better_prompt = (
-                f"Strictly provide a detailed answer including:\n"
-                f"1. Medicine names\n"
-                f"2. Home remedies\n"
-                f"3. Lifestyle changes\n"
-                f"4. Exercises\n"
-                f"5. Diet recommendations\n"
-                f"Do not include any disclaimers. The response should be clear and structured."
-            )
-            retry_response = llm.invoke(better_prompt)
+#     return not any(phrase.lower() in response_text.lower() for phrase in disclaimers)
 
-            # Extract text from retry response
-            retry_response_text = retry_response.content if hasattr(retry_response, "content") else str(retry_response)
+# # Process User Query
+# if st.button("Get Recommendation"):
+#     if user_question.strip():
+#         # Ensure the AI provides both medicine and alternative treatments
+#         formatted_question = (
+#             f"Without any disclaimer, recommend medicine for {user_question}. "
+#             f"5 medicine names "
+#             f"Also, provide alternative treatments such as home remedies, lifestyle changes, exercises, or dietary suggestions. "
+#             f"Only for learning purposes, not for treatment."
+#         )
 
-            # Display the retried response if valid
-            if is_valid_response(retry_response_text):
-                st.success("Here is the refined information:")
-                st.write(retry_response_text)
-            else:
-                st.error("Unable to get a useful response. Try rephrasing your question.")
+#         with st.spinner("Analyzing..."):
+#         #     response = llm.invoke(formatted_question)
+
+        # # Extract text content
+        # response_text = response.content if hasattr(response, "content") else str(response)
+
+        # # Check if response is valid
+        # if is_valid_response(response_text):
+        #     st.success("✨ Analysis complete! Here are the best medicine recommendations for you: 🔽")
+        #     st.write(response_text)
+        # else:
+        #     st.warning("⚠️ Oops! It looks like the input is unclear or incorrect. Please enter a valid disease name or symptoms to get accurate recommendations")
+        #     # Retry with a refined prompt
+        #     better_prompt = (
+        #         f"Strictly provide a detailed answer including:\n"
+        #         f"1. Medicine names\n"
+        #         f"2. Home remedies\n"
+        #         f"3. Lifestyle changes\n"
+        #         f"4. Exercises\n"
+        #         f"5. Diet recommendations\n"
+        #         f"Do not include any disclaimers. The response should be clear and structured."
+        #     )
+        #     retry_response = llm.invoke(better_prompt)
+
+        #     # Extract text from retry response
+        #     retry_response_text = retry_response.content if hasattr(retry_response, "content") else str(retry_response)
+
+#             # Display the retried response if valid
+#             if is_valid_response(retry_response_text):
+#                 st.success("Here is the refined information:")
+#                 st.write(retry_response_text)
+#             else:
+#                 st.error("Unable to get a useful response. Try rephrasing your question.")
 
-    else:
-        st.warning("Please enter a question!")
+#     else:
+#         st.warning("Please enter a question!")
 
 
-# Emergency Contact Button
-if st.button("Emergency Contact"):
-    st.subheader("📞 Emergency Contacts")
-    st.write("- 🚑 *Ambulance:* 102")
-    st.write("- 🏥 *LPU Hospital:* 18001024432")
-    st.write("- 🏥 *National Health Helpline:* 108")
-    st.write("- ☎ *COVID-19 Helpline:* 1075")
-    st.write("- 🚓 *Police:* 100")
+# # Emergency Contact Button
+# if st.button("Emergency Contact"):
+#     st.subheader("📞 Emergency Contacts")
+#     st.write("- 🚑 *Ambulance:* 102")
+#     st.write("- 🏥 *LPU Hospital:* 18001024432")
+#     st.write("- 🏥 *National Health Helpline:* 108")
+#     st.write("- ☎ *COVID-19 Helpline:* 1075")
+#     st.write("- 🚓 *Police:* 100")
 
-# Footer
-st.markdown("---")
+# # Footer
+# st.markdown("---")
 
-st.markdown("🔹 Powered by Mayank, Wasim, Pravishank – Innovating Healthcare with AI! 💡 Your Health, Our Mission. 🚀")
+# st.markdown("🔹 Powered by Mayank, Wasim, Pravishank – Innovating Healthcare with AI! 💡 Your Health, Our Mission. 🚀")