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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Initialize the image-to-text pipeline
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extractor = pipeline("image-to-text", model="microsoft/git-base-textcaps")
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def extract_text(image):
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result = extractor(image)
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return result[0]['generated_text']
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# Create the Gradio interface
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iface = gr.Interface(
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fn=extract_text,
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inputs=gr.Image(type="pil"),
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outputs="text",
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title="Image Text Extractor",
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description="Upload an image to extract text using Hugging Face's image-to-text model."
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)
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# Launch the app
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iface.launch()
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