pavitemple commited on
Commit
48f9024
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1 Parent(s): f0d8d53

Create app.py

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  1. app.py +16 -0
app.py ADDED
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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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+
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+ from transformers import BlipProcessor, BlipForConditionalGeneration
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+ model_id = "Salesforce/blip-image-captioning-base"
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+
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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()