Update app.py

app.py

@@ -83,7 +83,13 @@ interface = gr.Interface(
     inputs=gr.components.Image(type='pil'),  # Updated input component
     outputs=[gr.components.Label(label="Disease Probabilities"), gr.components.Textbox(label="References", value=references, lines=10)],
     title="CheXNet Pneumonia Detection",
-    description="Upload a chest X-ray to detect the probability of 14 different diseases.",
+    description="""Upload a chest X-ray to detect the probability of 14 different diseases.
+    References:
+    1. Huang, G., et al. (2017). Densely Connected Convolutional Networks. Proceedings of the IEEE conference on computer vision and pattern recognition.
+    2. Wang, X., et al. (2017). ChestX-ray8: Hospital-scale chest X-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. IEEE CVPR.
+    3. Rajpurkar, P., et al. (2017). CheXNet: Radiologist-level pneumonia detection on chest X-rays with deep learning. arXiv preprint arXiv:1711.05225.
+    4. Abid, A., et al. (2019). Gradio: Hassle-Free Sharing and Testing of Machine Learning Models. arXiv preprint arXiv:1906.02569.
+    """,
 )
 
 # Gradio Interface