Upload 3 files

app.py

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+from PIL import Image
+import pytesseract
+import gradio as gr
+
+# OCR processing function
+def extract_text_from_image(image):
+    try:
+        # Open the uploaded image from Gradio
+        image = image.resize((300, 150))  # Resize as required
+        
+        # Tesseract custom config
+        custom_config = r'-l eng --oem 3 --psm 6'
+        
+        # Extracting text using pytesseract
+        text = pytesseract.image_to_string(image, config=custom_config)
+        
+        return text
+    except Exception as e:
+        return f"Error occurred: {e}"
+
+# Load example image from local directory (make sure the path is correct)
+example_image_path = "/content/sample.png"  # Replace with the actual path
+example_image = Image.open(example_image_path)
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=extract_text_from_image,  # Function to process OCR
+    inputs=gr.Image(type="pil", label="Upload Image"),  # User uploads an image file
+    outputs="text",  # Output extracted text
+    title="Image to Text OCR",
+    description="Upload an image file to extract text using OCR. Use the example image for testing.",
+    examples=[[example_image]]  # Preload the example image
+)
+
+# Launch the interface
+iface.launch()

requirements.txt

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+
+pillow
+opencv-python
+gradio
+pip==24.2
+pytesseract