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Update app.py
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app.py
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from transformers.utils import logging
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import warnings
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import os
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import gradio as gr
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from
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warnings.filterwarnings("ignore",
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message="Using the model-agnostic default `max_length`")
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pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
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def launch(input):
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out = pipe(input)
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import gradio as gr
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from transformer import pipeline
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pipe = pipeline("image-to-text",
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model="Salesforce/blip-image-captioning-base")
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def launch(input):
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out = pipe(input)
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