title

app.py

@@ -7,9 +7,6 @@ from transformers import AutoImageProcessor, AutoModelForImageClassification
 preprocessor = AutoImageProcessor.from_pretrained("google/mobilenet_v2_1.0_224")
 model = AutoModelForImageClassification.from_pretrained("google/mobilenet_v2_1.0_224")
 
-title = "Sandbox"
-description = "Place to try various models"
-
 def classify(image):
     inputs = preprocessor(images=image, return_tensors="pt")
     outputs = model(**inputs)
@@ -17,6 +14,6 @@ def classify(image):
     predicted_class_idx = logits.argmax(-1).item()
     return model.config.id2label[predicted_class_idx]
     
-demo = gr.Interface(fn=classify, inputs="image", outputs="text")
+demo = gr.Interface(fn=classify, inputs="image", outputs="text", title="Sandbox")
 
 demo.launch()