app.py

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)