Update output gradio

app.py

@@ -39,7 +39,7 @@ def text_predictor(title, synopsis):
     for prob, cls in zip(genres, class_names):
         if prob >= 0.5:
             preds_name.append(cls)
-    return {'score':round(score.item(), 2), 'award_winning':isAward.item(), "genres":preds_name}
+    return round(score.item(), 2), isAward.item(), {"genres":preds_name}
     
 def img_predictor(img):
     # Preprocess the image
@@ -56,7 +56,7 @@ def img_predictor(img):
         if prob >= 0.5:
             preds_name.append(cls)
 
-    return {'score':round(score.item(), 2), 'award_winning':isAward.item(), "genres":preds_name}
+    return round(score.item(), 2), isAward.item(), {"genres": preds_name}
 
 
 def combine_predictor(title, synopsis, img):
@@ -83,14 +83,14 @@ def combine_predictor(title, synopsis, img):
         if prob >= 0.5:
             preds_name.append(cls)
             
-    return {'score':round(score.item(), 2), 'award_winning':isAward.item(), "genres":preds_name}
+    return round(score.item(), 2), isAward.item(), {"genres": preds_name}
     
 # iface_1 = gr.Interface(age_predictor_image, gr.Image(height=256, width=256), "json", examples=[["young.webp"], ["old.jpg"]])
-iface_1 = gr.Interface(text_predictor, [gr.Text(placeholder="Input title here"), gr.Text(placeholder="Input synopsis here")], ["json"])
+iface_1 = gr.Interface(text_predictor, [gr.Text(placeholder="Input title here"), gr.Text(placeholder="Input synopsis here")], [gr.Label(label='Score'), gr.Label(label='Is Winning Award?'), "json"])
 
-iface_2 = gr.Interface(img_predictor, gr.Image(height=224, width=224), ["json"])
+iface_2 = gr.Interface(img_predictor, gr.Image(height=224, width=224), [gr.Label(label='Score'), gr.Label(label='Is Winning Award?'), "json"])
 
-iface_3 = gr.Interface(combine_predictor, [gr.Text(placeholder="Input title here"), gr.Text(placeholder="Input synopsis here"), gr.Image(height=224, width=224)], ["json"])
+iface_3 = gr.Interface(combine_predictor, [gr.Text(placeholder="Input title here"), gr.Text(placeholder="Input synopsis here"), gr.Image(height=224, width=224)], [gr.Label(label='Score'), gr.Label(label='Is Winning Award?'), "json"])
 demo = gr.TabbedInterface([iface_1, iface_2, iface_3], ["From Text", "From Image", "From Text and Image"])
 demo.launch()  # Launches the mini app!