app.py

import streamlit as st
import requests
import json  # Add this import to parse JSON responses

def extract_text_from_image(uploaded_file):
    """Upload image to the text extraction API and return extracted text."""
    try:
        # Reset file pointer to the beginning
        uploaded_file.seek(0)

        # Set the correct filename and MIME type
        file_name = uploaded_file.name if uploaded_file.name else "uploaded_image.png"
        mime_type = uploaded_file.type if uploaded_file.type else "image/png"

        # Prepare the file tuple (filename, file object, MIME type)
        files = {'image': (file_name, uploaded_file, mime_type)}

        # Make the API call
        response = requests.post('https://api-1-zvvu.onrender.com/upload', files=files)

        if response.status_code == 200:
            # Parse and return the response
            response_data = response.json()
            return response_data.get("text", "No text extracted.")
        else:
            return f"Error: {response.status_code} - {response.text}"
    
    except requests.RequestException as e:
        return f"Request failed: {e}"



def main():
    st.title('Image Text Extraction')
    
    # Camera input toggle
    enable = st.checkbox("Enable camera")
    
    # Camera input
    picture = st.camera_input("Take a picture", disabled=not enable)
    
    # File uploader
    uploaded_file = st.file_uploader("Or upload an image...", type=['png', 'jpg', 'jpeg'])
    
    # Determine which image to use
    image_to_process = picture or uploaded_file
    
    if image_to_process:
        # Display the image
        st.image(image_to_process, caption='Uploaded/Captured Image', use_column_width=True)
        
        # Extract text button
        if st.button('Extract Text'):
            # Show loading spinner
            with st.spinner('Extracting text...'):
                # Call the text extraction function
                extracted_text = extract_text_from_image(image_to_process)
            
            # Display the extracted text
            st.subheader('Extracted Text:')
            st.text_area("", value=extracted_text, height=300)

if __name__ == '__main__':
    main()