Update app.py

app.py

@@ -31,27 +31,35 @@ def predict(img):
 title = "Facial Emotion and Sentiment Detector"
 
 description = gr.Markdown(
-                """Choose a face image""").value
+                """Ever wondered what a person might be feeling looking at their picture? 
+                 Well, now you can! Try this fun app. Just upload a facial image in JPG or
+                 PNG format. Voila! you can now see what they might have felt when the picture
+                 was taken.
+                 
+                 **Tip**: Be sure to only include face to get best results. Check some sample images
+                 below for inspiration!""").value
 
 article = gr.Markdown(
-             """
+             """**DISCLAIMER:** This model does not reveal the actual emotional state of a person. Use and 
+             
+             
              Positive (Happy, Surprise)
              
              Negative (Angry, Disgust, Fear, Sad)
              
              Neutral (Neutral)
              
-             **MODEL:** VGG19 """).value
+             **MODEL:** VGG19""").value
 
 enable_queue=True
 
 examples = ['happy1.jpg', 'happy2.jpg', 'angry1.png', 'angry2.jpg', 'neutral1.jpg', 'neutral2.jpg']
 
 gr.Interface(fn = predict, 
-             inputs = gr.Image(shape=(48, 48), image_mode='L'), 
+             inputs = gr.Image( image_mode='L'), 
              outputs = [gr.Label(label='Emotion'), gr.Label(label='Sentiment')], #gr.Label(),
              title = title,
              examples = examples,
              description = description,
              article=article,
-             allow_flagging='never').launch(enable_queue=enable_queue)
+             allow_flagging='never').launch()