app.py

import streamlit as st
from PIL import Image, ImageEnhance, ImageFilter
import pytesseract
import google.generativeai as genai
import os

# Set your Gemini API key
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

model = genai.GenerativeModel("gemini-1.5-flash")

def preprocess_image(image):
    image = image.convert("L")  # grayscale
    image = image.filter(ImageFilter.MedianFilter())
    enhancer = ImageEnhance.Contrast(image)
    image = enhancer.enhance(2)
    return image

def extract_text(image):
    return pytesseract.image_to_string(image)

def summarize_text(text):
    prompt = f"Summarize the following handwritten note:\n\n{text}"
    response = model.generate_content(prompt)
    return response.text

# Streamlit UI
st.set_page_config(page_title="Handwritten Note Summarizer", layout="centered")
st.title("📝 Handwritten Note Summarizer")

uploaded_file = st.file_uploader("Upload an image of handwritten notes", type=["jpg", "jpeg", "png"])

if uploaded_file:
    image = Image.open(uploaded_file)
    st.image(image, caption="Uploaded Image", use_column_width=True)

    if st.button("Extract & Summarize"):
        with st.spinner("Processing..."):
            preprocessed = preprocess_image(image)
            extracted_text = extract_text(preprocessed)
            summary = summarize_text(extracted_text)

        st.subheader("🔍 Extracted Text")
        st.text(extracted_text.strip() or "Could not extract text.")

        st.subheader("🧠 Summary")
        st.markdown(summary.strip() or "Summary not available.")