Create app.py

app.py

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+import streamlit as st
+import requests
+
+# Define the healthcare knowledge base or fetch from APIs
+health_knowledge_base = {
+    "flu": {
+        "symptoms": ["fever", "cough", "sore throat", "body aches", "fatigue"],
+        "treatment": "Rest, fluids, pain relievers, and anti-viral medications if prescribed.",
+    },
+    "headache": {
+        "symptoms": ["head pain", "nausea", "sensitivity to light"],
+        "treatment": "Rest, hydration, over-the-counter painkillers, and avoid triggers.",
+    },
+    "diabetes": {
+        "symptoms": ["increased thirst", "frequent urination", "fatigue", "blurred vision"],
+        "treatment": "Insulin therapy, lifestyle changes, and dietary management.",
+    },
+}
+
+# Function to search for health information in the knowledge base
+def get_health_info(query):
+    query = query.lower()
+    
+    # Search for conditions that match the query
+    for condition, info in health_knowledge_base.items():
+        if condition in query:
+            return f"Condition: {condition.title()}\n" \
+                   f"Symptoms: {', '.join(info['symptoms'])}\n" \
+                   f"Treatment: {info['treatment']}"
+    
+    return "Sorry, I couldn't find information on that condition. Please try another query."
+
+# Set up the Streamlit app interface
+st.title("Healthcare Knowledge Chatbot")
+st.write("Ask me about health conditions, symptoms, treatments, and I'll provide relevant information.")
+
+# Input field for user queries
+user_input = st.text_input("Ask a healthcare-related question...")
+
+# Display response based on user input
+if user_input:
+    response = get_health_info(user_input)
+    st.write(response)