Create app.py

app.py

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+import os
+import streamlit as st
+from groq import Groq
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+if not GROQ_API_KEY:
+    st.error("GROQ API Key not found. Please set the API key in a .env file and restart the app.")
+    st.stop()
+
+# Initialize Groq client
+client = Groq(api_key=GROQ_API_KEY)
+
+# Define allowed health topics
+topic_responses = {
+    "fever": "For fever, take paracetamol and stay hydrated. If symptoms persist, consult a doctor.",
+    "malaria": "For malaria, take prescribed antimalarial drugs and rest. Visit a doctor for proper diagnosis.",
+    "flu": "For flu, take antihistamines, drink warm fluids, and rest. Consider over-the-counter pain relievers.",
+    "cough": "For cough, drink warm honey tea, use cough syrup, and avoid cold drinks. If severe, see a doctor.",
+    "typhoid": "For typhoid, take antibiotics as prescribed by a doctor and maintain good hydration. Avoid contaminated food."
+}
+
+def get_health_advice(user_input):
+    user_input = user_input.lower()
+    for topic, response in topic_responses.items():
+        if topic in user_input:
+            return response
+    return "Sorry, I don't have knowledge about that. Ask me only health-related matters."
+
+# Streamlit UI setup
+st.title("Health Assistance Chatbot")
+st.write("Ask about Fever, Malaria, Flu, Cough, or Typhoid for symptoms and treatment suggestions.")
+
+# Store chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat history
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# User input
+user_input = st.chat_input("Type your question here...")
+if user_input:
+    st.session_state.messages.append({"role": "user", "content": user_input})
+    
+    # Check if input is health-related
+    bot_response = get_health_advice(user_input)
+    
+    # Append bot response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": bot_response})
+    
+    # Display bot response
+    with st.chat_message("assistant"):
+        st.markdown(bot_response)