my commit

app.py

@@ -11,10 +11,14 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "Tomatoes Classifier"
-description = "A tomatoes classifier trained with dataset ddg images with fastai. Created as a demo for Gradio and HuggingFace Spaces."
-article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
-examples = ['Cherry Tomatoes','Grape Tomatoes', 'Roma Tomatoes','Beefsteak Tomatoes','Green tomatoes','Kumato Tomatoes','Heirloom Tomatoes']
-interpretation='default'
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['cherry.jpeg','grape.jpeg', 'roma.jpeg','beefsteak.jpeg','green.jpeg','kumato.jpeg','heirloom.jpeg']
+
+
 enable_queue=True
 
-gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
+intf = gr.Interface(fn=predict, inputs=image, outputs=label, examples=examples)
+
+intf.launch(inline=False)