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import gradio as gr |
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from PIL import Image |
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import requests |
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import gradio as gr |
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from transformers import BlipProcessor, BlipForConditionalGeneration |
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model_id = "prasanna2003/blip-image-captioning" |
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model = BlipForConditionalGeneration.from_pretrained(model_id) |
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processor = BlipProcessor.from_pretrained(model_id) |
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def launch(input): |
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image = Image.open(requests.get(input, stream=True).raw).convert('RGB') |
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inputs = processor(image, return_tensors="pt") |
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out = model.generate(**inputs) |
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return processor.decode(out[0], skip_special_tokens=True) |
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iface = gr.Interface(launch, inputs="text", outputs="text") |
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iface.launch() |
