Update app.py

app.py

@@ -1,33 +1,26 @@
 import streamlit as st
 import easyocr
-from PIL import Image
-import numpy as np
 import io
+from PIL import Image
 
-# Initialize the EasyOCR Reader
+# Initialize the EasyOCR reader
 reader = easyocr.Reader(['en'])
 
-# Streamlit interface
-st.title("OCR with EasyOCR")
+# Function to extract text from image
+def extract_text_from_image(image):
+    result = reader.readtext(image)
+    extracted_text = "\n".join([text[1] for text in result])
+    return extracted_text
 
-# Upload image
-uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
+# Streamlit interface
+st.title("OCR Text Extraction with EasyOCR")
+uploaded_file = st.file_uploader("Upload an image (JPG, PNG, etc.)", type=["jpg", "png"])
 
 if uploaded_file:
-    # Open image file
-    image = Image.open(uploaded_file).convert('RGB')
-    st.image(image, caption='Uploaded Image', use_column_width=True)
-
-    # Convert image to a format that EasyOCR can handle (numpy array)
-    image_np = np.array(image)
-
-    # Run OCR
-    result = reader.readtext(image_np)
-
-    # Display OCR results
-    st.subheader("OCR Results:")
-    for detection in result:
-        text = detection[1]
-        bbox = detection[0]
-        st.write(f"Text: {text}")
-        st.write(f"Bounding Box: {bbox}")
+    # Read the image file
+    image = Image.open(uploaded_file)
+    # Extract text from the image
+    extracted_text = extract_text_from_image(image)
+    
+    st.subheader("Extracted Text:")
+    st.write(extracted_text)