Another fix

app.py

@@ -5,8 +5,8 @@ learn=load_learner("model.pkl")
 
 labels=learn.dls.vocab
 def sample_predict(img):
+    print(img)
     img = PILImage.create(img)
-    img.save("inputted/image"+"_"+str(len(os.listdir("inputted")))+".jpg")
     pred,pred_idx,probs=learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 

inputted/placeholder.txt

@@ -1 +0,0 @@
-Text