Upload app.py

app.py

@@ -88,13 +88,13 @@ def classify_image(image):
         #inp = tf.keras.applications.mobilenet_v2.preprocess_input(inp)
         #prediction = inception_net.predict(inp).flatten()
     retrieved_caps="Retrieved captions: \n{}\n{}\n{}\n{}".format(*caps)
-    return retrieved_caps + "\n\n\n Generated caption:\n" + str(postprocess_preds(tokenizer.decode(pred[0]), tokenizer))
+    #return retrieved_caps + "\n\n\n Generated caption:\n" + str(postprocess_preds(tokenizer.decode(pred[0]), tokenizer))
 
+    return str(postprocess_preds(tokenizer.decode(pred[0]), tokenizer)) + "\n\n\n"+ retrieved_caps 
 
 image = gr.Image(type="pil")
 
-textbox = gr.Textbox(placeholder="Retrieved captions and generated caption...", lines=4)
-
+textbox = gr.Textbox(placeholder="Generated caption and retrieved captions...", lines=4)
 
 title = "SmallCap Demo"
 gr.Interface(