add application file

app.py

@@ -16,7 +16,7 @@ model = tf.keras.models.load_model('Covid19_Model.h5')
 def predict_image(image):
   processed_image = process_image(image)
   prediction = model.predict(processed_image)
-  predicted_class_index = np.argmax(prediction)
+  predicted_class_index = np.argmax(prediction)  # ---> [0.23,0.58,0.86]
   predicted_class_name = class_names[predicted_class_index]
   return f"Prediction: {predicted_class_name}"
 
@@ -24,6 +24,8 @@ examples = ['Samples/064.jpeg',
             'Samples/072.jpeg',
             'Samples/076.jpeg']
 
+# Samples\076.jpeg
+
 interface = gr.Interface(fn= predict_image,
                           inputs= gr.Image(type="pil"),
                           outputs='text',