Update app.py

app.py

@@ -56,27 +56,26 @@ def predict(img):
     
     return labels_probs, Path("gradcam.jpg")
 
-with open('gradio_article.md') as f:
-    article = f.read()
+# with open('gradio_article.md') as f:
+#     article = f.read()
 
-interface_options = {
-    "title": "RSNA Pneumonia Detection",
-    "description": "An algorithm that automatically detects potential pneumonia cases. Upload an image or select from the examples below.",
-    "examples": [f'{EXAMPLES_PATH}/{f.name}' for f in EXAMPLES_PATH.iterdir()],
-    "article": article,
-    "layout": "horizontal",
-    "theme": "default",
-}
+# interface_options = {
+#     "title": "RSNA Pneumonia Detection",
+#     "description": "An algorithm that automatically detects potential pneumonia cases. Upload an image or select from the examples below.",
+#     "examples": [f'{EXAMPLES_PATH}/{f.name}' for f in EXAMPLES_PATH.iterdir()],
+#     "article": article,
+#     "layout": "horizontal",
+#     "theme": "default",
+# }
 
 demo = gradio.Interface(fn=predict,
                       inputs=gradio.inputs.Image(shape=(512, 512), label="Chest X-ray"),
                       outputs=[gradio.outputs.Label(num_top_classes=5, label="Detected Class"),
-                                gradio.outputs.Image(type="filepath", label="GradCAM")],
-                      **interface_options)
+                                gradio.outputs.Image(type="filepath", label="GradCAM")])
 
 launch_options = {
     "enable_queue": True,
-    "share": False,
+    "share": True,
 }
 
 demo.launch(**launch_options)