Update app.py

app.py

@@ -1,3 +1,31 @@
 import gradio as gr
+import tensorflow as tf
 
-gr.Interface.load("models/swww/test").launch()
+
+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()