DolarAndreSpace / app.py
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Update app.py
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import gradio as gr
from transformers import pipeline
from transformers import AutoFeatureExtractor, AutoModelForImageClassification
extractor = AutoFeatureExtractor.from_pretrained("Rajaram1996/FacialEmoRecog")
model_heh = AutoModelForImageClassification.from_pretrained("Rajaram1996/FacialEmoRecog")
pipe = pipeline(task="image-classification",
# model that can do 22k-category classification
model="Rajaram1996/FacialEmoRecog")
gr.Interface.from_pipeline(pipe,
title="22k Image Classification",
description="Object Recognition using Microsoft BEIT",
examples = ['Sample_1.jpg', 'Sample_2.jpg',],
allow_flagging="never").launch(inbrowser=True)