Update app.py

app.py

@@ -1,30 +1,29 @@
 import streamlit as st
 from PIL import Image
 import pytesseract
-import os
 import io
 
-# Explicitly set tesseract path (only needed in hosted environments)
+# Set Tesseract binary path for Hugging Face
 pytesseract.pytesseract.tesseract_cmd = "/usr/bin/tesseract"
 
 st.set_page_config(page_title="OCR – Image to Text", layout="centered")
 st.title("🖼️ OCR – Image to Text")
-st.write("Upload a PNG, JPG or JPEG image to extract text.")
 
-uploaded_file = st.file_uploader("Choose an image file", type=["png", "jpg", "jpeg"])
+st.write("Upload an image to extract text using Tesseract OCR.")
 
+uploaded_file = st.file_uploader("Choose an image", type=["png", "jpg", "jpeg"])
 if uploaded_file:
     try:
-        # Read and display image
         image = Image.open(io.BytesIO(uploaded_file.read()))
-        st.image(image, caption="Preview", use_column_width=True)
+        st.image(image, caption="Uploaded Image", use_column_width=True)
 
-        # Extract text on button click
         if st.button("Extract Text"):
-            with st.spinner("Running OCR..."):
+            with st.spinner("Extracting text..."):
                 extracted_text = pytesseract.image_to_string(image)
-            st.subheader("Extracted Text")
-            st.text_area(label="", value=extracted_text, height=300)
-    except Exception as e:
-        st.error(f"Failed to process image: {e}")
+            st.success("Text extracted!")
+            st.text_area("Extracted Text", extracted_text, height=300)
 
+    except Exception as e:
+        st.error(f"❌ Failed to process image: {e}")
+else:
+    st.info("Please upload an image.")