app.py

import streamlit as st
from aifunc import run_chain

def main():
    st.title("DentalGPT For Everybody")
    
    # File upload window
    uploaded_file = st.file_uploader("Upload files to ML")
    
    # Text input window
    user_input = st.text_input("Enter text")
    
    # Process uploaded file and user input
    result = process_data(uploaded_file, user_input)
    
    # Display result in a read-only text field
    st.text_area("Result", value=result, disabled=True)

def process_data(file, input_text):
    # Perform data processing here based on the uploaded file and user input
    # Return the processed result as a string
    # Example implementation:
    if file is not None:
        file_contents = file.read()
        # Process file contents
        
    # Process user input
    # ...
    
    # Return the result
    return "Processed result"

if __name__ == '__main__':
    main()