Update app.py

resolving the error for directly calling the model, using .call()

app.py

@@ -20,7 +20,7 @@ def single_transcribe(image, temperature=1):
 
     tokens = initial # (batch, sequence)
     for n in range(50):
-        preds = model((img_features, tokens)).numpy()  # (batch, sequence, vocab)
+        preds = model.call((img_features, tokens)).numpy()  # (batch, sequence, vocab)
         preds = preds[:,-1, :]  #(batch, vocab)
         if temperature==0:
             next = tf.argmax(preds, axis=-1)[:, tf.newaxis]  # (batch, 1)