Update app.py

app.py

@@ -23,7 +23,7 @@ def classify_image(image):
     image = transform(image).unsqueeze(0)
     output = model(image)
     _, predicted = torch.max(output, 1)
-    return "Good Posture! Sit exactly like that for your Interview!" if predicted.item() == 0 else "Bad Posture, you should think of sitting a little straighter for your real interview."
+    return "Good Posture! Sit exactly like that for your Interview!" if predicted.item() == 0 else "Bad Posture, you should think of sitting a little straighter or more in frame for your real interview."
 
 # Set up Gradio interface
 iface = gr.Interface(fn=classify_image, inputs=gr.Image(type="pil"), outputs="text")