updated

app.py

@@ -1,79 +1,5 @@
 
 
-# # # # # from langchain_google_genai import ChatGoogleGenerativeAI
-
-
-
-# # # # # llm = ChatGoogleGenerativeAI(
-# # # # #     model="gemini-1.5-flash",
-# # # # #     google_api_key='AIzaSyC7Rhv4L6_oNl-nW3Qeku2SPRkxL5hhtoE',
-# # # # #     temperature=0.2)
-
-# # # # # poem = llm.invoke("Write a poem on love for burger")
-# # # # # print(poem)
-
-
-# # # # import streamlit as st
-# # # # from langchain_google_genai import ChatGoogleGenerativeAI
-
-# # # # # Set up the AI model
-# # # # llm = ChatGoogleGenerativeAI(
-# # # #     model="gemini-1.5-flash",  # Free model
-# # # #     google_api_key="AIzaSyC7Rhv4L6_oNl-nW3Qeku2SPRkxL5hhtoE",
-# # # #     temperature=0.5
-# # # # )
-
-# # # # # Streamlit UI
-# # # # st.title("🩺 Healthcare AI Assistant")
-# # # # st.write("Ask me anything about health, symptoms, diet, or general medical advice!")
-
-# # # # # User Input
-# # # # user_question = st.text_input("Enter your health-related question:")
-
-# # # # # Process User Query
-# # # # if st.button("Get Recommendation"):
-# # # #     if user_question.strip():
-# # # #         with st.spinner("Analyzing..."):
-# # # #             response = llm.invoke(user_question)
-# # # #         st.success("Recommendation:")
-# # # #         st.write(response)
-# # # #     else:
-# # # #         st.warning("Please enter a question!")
-
-# # # # # Footer
-# # # # st.markdown("---")
-# # # # st.markdown("💡 *Disclaimer: This AI assistant provides general health information. Always consult a doctor for medical concerns.*")
-
-
-
-# # # 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
-# # # )
-
-# # # # Streamlit UI
-# # # st.title("🩺 AI Healthcare Learning Assistant")
-# # # st.write("Ask me anything about healthcare, symptoms, diet, or medical learning!")
-
-# # # # User Input
-# # # user_question = st.text_input("Enter your healthcare question:")
-
-# # # # Function to filter AI disclaimers
-# # # def is_valid_response(response):
-# # #     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.lower() for phrase in disclaimers)
-
 # # # # Process User Query
 # # # if st.button("Get Information"):
 # # #     if user_question.strip():
@@ -260,7 +186,10 @@ st.markdown(
         iframe {
             border: none !important;
         }
-        h1, h2, h3, h4, h5, h6, p, div, span,  {
+        h1, h2, h3, h4, h5, h6, p, div, span, label {
+            color: black !important;
+        }
+        button, .stButton>button {
             color: black !important;
         }
     </style>
@@ -336,5 +265,3 @@ if st.button("Emergency Contact"):
 
 # Footer
 st.markdown("---")
-
-