Delete app.py

app.py

@@ -1,53 +0,0 @@
-import streamlit as st
-import easyocr
-import cv2
-import numpy as np
-from PIL import Image
-import tempfile
-import os
-
-st.set_page_config(page_title="🧾 EasyOCR Image Text Extractor", layout="centered")
-st.title("🧾 Image OCR with EasyOCR")
-
-# Upload image file
-uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
-
-def process_image(image_path, gpu=False):
-    reader = easyocr.Reader(['en'], gpu=gpu)
-    result = reader.readtext(image_path)
-
-    text_lines = [detection[1] for detection in result]
-    saved_text = " ".join(text_lines)
-
-    img = cv2.imread(image_path)
-    for detection in result:
-        top_left = tuple([int(val) for val in detection[0][0]])
-        bottom_right = tuple([int(val) for val in detection[0][2]])
-        text = detection[1]
-        font = cv2.FONT_HERSHEY_SIMPLEX
-        img = cv2.rectangle(img, top_left, bottom_right, (0, 255, 0), 2)
-        img = cv2.putText(img, text, top_left, font, 0.6, (255, 255, 255), 1, cv2.LINE_AA)
-
-    return img, saved_text
-
-if uploaded_file:
-    # Save the uploaded file temporarily
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as temp_file:
-        temp_file.write(uploaded_file.read())
-        temp_path = temp_file.name
-
-    # Process image
-    img_result, extracted_text = process_image(temp_path)
-
-    # Show image with bounding boxes
-    st.image(cv2.cvtColor(img_result, cv2.COLOR_BGR2RGB), caption="Detected Text", use_column_width=True)
-
-    # Show extracted text
-    st.subheader("📄 Extracted Text")
-    st.text_area("Detected Text", extracted_text, height=200)
-
-    # Option to download text
-    st.download_button("Download Extracted Text", extracted_text, file_name="extracted_text.txt")
-
-    # Clean up temporary file
-    os.remove(temp_path)