Add main.py - Streamlit Medical Q/A Chatbot application

main.py

@@ -0,0 +1,117 @@
+import streamlit as st
+import os
+from typing import Optional
+
+# Set page configuration
+st.set_page_config(
+    page_title="Medical Q/A Chatbot",
+    page_icon="🩺",
+    layout="wide",
+    initial_sidebar_state="expanded"
+)
+
+def main():
+    """Main function for the Medical Q/A Chatbot"""
+    
+    # Title and description
+    st.title("🩺 Medical Q/A Chatbot")
+    st.markdown(
+        """
+        Welcome to the Medical Q/A Chatbot! This application provides informational responses 
+        to medical questions. Please note that this is for educational purposes only and should 
+        not replace professional medical advice.
+        """
+    )
+    
+    # Sidebar configuration
+    with st.sidebar:
+        st.header("Configuration")
+        model_choice = st.selectbox(
+            "Select Model",
+            ["GPT-3.5", "GPT-4", "Claude", "Local Model"],
+            index=0
+        )
+        
+        temperature = st.slider(
+            "Temperature",
+            min_value=0.0,
+            max_value=1.0,
+            value=0.7,
+            step=0.1
+        )
+        
+        max_tokens = st.number_input(
+            "Max Tokens",
+            min_value=100,
+            max_value=4000,
+            value=500,
+            step=100
+        )
+    
+    # Chat interface
+    st.header("Ask your medical question:")
+    
+    # Initialize chat history
+    if "messages" not in st.session_state:
+        st.session_state.messages = []
+    
+    # Display chat messages from history
+    for message in st.session_state.messages:
+        with st.chat_message(message["role"]):
+            st.markdown(message["content"])
+    
+    # Chat input
+    if prompt := st.chat_input("What is your medical question?"):
+        # Add user message to chat history
+        st.session_state.messages.append({"role": "user", "content": prompt})
+        
+        # Display user message
+        with st.chat_message("user"):
+            st.markdown(prompt)
+        
+        # Generate and display assistant response
+        with st.chat_message("assistant"):
+            response = generate_medical_response(prompt, model_choice, temperature, max_tokens)
+            st.markdown(response)
+        
+        # Add assistant response to chat history
+        st.session_state.messages.append({"role": "assistant", "content": response})
+    
+    # Clear chat button
+    if st.button("Clear Chat History"):
+        st.session_state.messages = []
+        st.rerun()
+
+def generate_medical_response(question: str, model: str, temperature: float, max_tokens: int) -> str:
+    """
+    Generate a medical response based on the user's question.
+    This is a placeholder function that would integrate with actual AI models.
+    """
+    
+    # Disclaimer message
+    disclaimer = """\n\n**Disclaimer**: This response is for informational purposes only and should not replace professional medical advice, diagnosis, or treatment. Always consult with a qualified healthcare provider for medical concerns."""
+    
+    # Placeholder response - in a real implementation, this would call an AI model
+    response = f"""
+    Thank you for your medical question: "{question}"
+    
+    I understand you're seeking medical information. While I'd like to help, I'm currently a template 
+    application that needs to be configured with proper medical AI models and knowledge bases.
+    
+    To get this chatbot fully functional, you would need to:
+    
+    1. **Integrate AI Models**: Connect to medical AI models (like BioBERT, ClinicalBERT, or specialized medical LLMs)
+    2. **Add Medical Knowledge Base**: Include verified medical databases and references
+    3. **Implement Safety Filters**: Add content moderation for medical accuracy
+    4. **Add Authentication**: Consider user verification for sensitive medical queries
+    
+    **Current Configuration:**
+    - Model: {model}
+    - Temperature: {temperature}
+    - Max Tokens: {max_tokens}
+    """
+    
+    return response + disclaimer
+
+if __name__ == "__main__":
+    main()