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from transformers.utils import logging
logging.set_verbosity_error()
import warnings
warnings.filterwarnings("ignore", message="Using the model-agnostic default `max_length`")
import os
import gradio as gr
from transformers import pipeline
pipe = pipeline("image-to-text", model="./models/Salesforce/blip-image-captioning-base")
def launch(input):
out = pipe(input)
return out[0]['generated_text']
iface = gr.Interface(launch, inputs=gr.Image(type='pil'), outputs="text")
iface.launch() |