Upload 4 files

app.py

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+import gradio as gr
+from OCR_test import process_image  
+
+def detect_objects(image):
+    try:
+        # Call the `process_image` function with the image path
+        result = process_image(image)
+        return result
+    except Exception as e:
+        # Return any errors encountered during processing
+        return f"Error: {e}"
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=detect_objects,
+    inputs=gr.Image(type="filepath", label="Upload Image"),  # Set to "filepath" to pass file path directly
+    outputs=gr.Textbox(label="Detection Results"),
+    title="OCR Object Detection",
+    description="Upload an image to get OCR results."
+)
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    interface.launch()

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:995e238a347b4ec05318d30615e7d93694087ba2c087ef69cb6f233871419e64
+size 15254210

requirements.txt

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+gradio
+torch>=1.8.0
+torch>=1.8.0,!=2.4.0; sys_platform == 'win32'  # Windows CPU errors w/ 2.4.0 https://github.com/ultralytics/ultralytics/issues/15049
+torchvision>=0.9.0
+ultralytics>=8.3.0
+Pillow
+opencv-python-headless
+cython