built in requirments

app.py

@@ -4,10 +4,10 @@ from fastai.vision.all import *
 learn = load_learner('ImageDifferentiator.pkl')
 labels = learn.dls.vocab
 def predict(img):
+    
     img = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(img)
+    pred, pred_idx, probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-
-iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)
-iface.launch()
+iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3))
+iface.launch(share=True)

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+gradio