Update app.py

app.py

@@ -5,16 +5,9 @@ import requests
 from tensorflow.keras.applications.resnet50 import ResNet50
 from tensorflow.keras.applications.resnet50 import preprocess_input
 from tensorflow.keras.models import load_model
-from transformers import pipeline
-
 
 model = tf.keras.models.load_model('model_2.h5')
 
-
-
-pipe = pipeline(task="image-classification",
-                # model for 22k-category classification
-                model)
 #function
 def example(image):
     image = image.reshape(-1, 256, 256, 3)
@@ -55,4 +48,4 @@ gr.Interface( example,inputs = image,outputs = label,capture_session = True,
                   title=title,
                   description= description,
                   examples = examples
-                  ).launch(share=True)
+                  ).launch(share=True,inbrowser=True)