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Create app.py
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app.py
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import json
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import gradio as gr
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def process_metadata(file):
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# Read the uploaded JSON file
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with open(file.name, "r") as f:
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data = json.load(f)
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results = []
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# Process each media item
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for item in data["media_items"]:
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# Initialize lists for bboxes and categories
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bboxes = []
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categories = []
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# Process each metadata item
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for metadata in item["metadata_items"]:
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if metadata["type"] == "object_label":
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bbox = metadata["properties"]["bbox"]
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bboxes.append(bbox)
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category_mapping = {
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"vest": 0,
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# Add other categories as needed
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}
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category = category_mapping.get(
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metadata["properties"]["category_name"], 0
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)
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categories.append(category)
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# Create output format
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output = {
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"file_name": item["file_name"],
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"objects": {"bbox": bboxes, "category": categories},
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}
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results.append(json.dumps(output))
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# Return all results joined by newlines
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return "\n".join(results)
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def save_text(text):
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# Create a temporary file to save the output
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temp_file = "metadata.jsonl"
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with open(temp_file, "w") as f:
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f.write(text)
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return temp_file # Return only the file path
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# Create Gradio interface
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with gr.Blocks(title="Metadata Converter") as iface:
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gr.Markdown("# Metadata Converter")
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gr.Markdown("Upload a JSON metadata file to convert it to the desired format.")
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with gr.Row():
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input_file = gr.File(label="Upload JSON metadata file")
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with gr.Row():
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output_text = gr.Textbox(label="Converted Output", lines=10)
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download_btn = gr.DownloadButton(label="Download Output", interactive=True)
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# Connect the components
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input_file.change(fn=process_metadata, inputs=[input_file], outputs=[output_text])
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# Connect download button directly to output text
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download_btn.click(fn=save_text, inputs=[output_text], outputs=[download_btn])
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if __name__ == "__main__":
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iface.launch()
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