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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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#Load the Image captioning pipeline
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captioner = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
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# Define the prediction function
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def describe_image(image):
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result = captioner(image)[0]["generated_text"]
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return result
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# Create the Gradio interface
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gr.Interface(
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fn=describe_image,
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inputs=gr.Image("type=pil"),
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outputs="text",
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title="Image Describer",
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description="Upload an image and this app will describe it!"
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).launch(share=True)
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