Create app.py

app.py

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+from transformers import pipeline
+import gradio as gr
+
+# Load the model
+pipe = pipeline("image-to-text", model="jinhybr/OCR-Donut-CORD")
+
+# Function to process the image and extract text
+def extract_text(image):
+    # Pass the image to the pipeline
+    result = pipe(image)
+    # Return the text from the image
+    return result[0]['generated_text'] if result else "No text detected"
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=extract_text,                    # The function that processes the image
+    inputs=gr.Image(type="pil"),        # Input is an image (PIL format)
+    outputs="text",                     # Output is text
+    title="OCR with Donut-CORD Model",  # Title of the interface
+    description="Upload an image to extract text using the OCR Donut-CORD model.",
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()