app.py

import gradio as gr
import tensorflow as tf


title = "Covid 19 Prediction App using X-ray Images"

head = (
  "<center>"
  "Upload an X-ray image to check for covid19. The app is for research purposes and not clinically authorized"
  "</center>"
)
title = "Covid 19 Prediction App using X-ray Images"

head = (
  "<center>"
  "Upload an X-ray image to check for covid19. The app is for research purposes and not clinically authorized"
  "</center>"
)

def predict_input_image(img):
   from transformers import AutoFeatureExtractor, AutoModelForImageClassification

   extractor = AutoFeatureExtractor.from_pretrained("swww/test")

   model = AutoModelForImageClassification.from_pretrained("swww/test")


image = gr.inputs.Image(shape=(500, 500), image_mode='L', invert_colors=False, source="upload")
label = gr.outputs.Label()
iface = gr.Interface(fn=predict_input_image, inputs=image, outputs=label,title=title, description=head)
iface.launch()