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() | |