changed image to text

app.py

@@ -7,8 +7,8 @@ learn=load_learner('model.pkl')
 
 categories=('negative','positive')
 
-def classify(img):
-    pred,idx,probs=learn.predict(img)
+def classify(text):
+    pred,idx,probs=learn.predict(text)
     return dict(zip(categories, map(float,probs)))
 
 examples=['This was a very though provoking movie and very well written']