Update app.py

app.py

@@ -1,7 +1,15 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+pipeline = pipeline(task="image-classification", model="Rcronshaw/pneumonia")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def predict(image):
+  predictions = pipeline(image)
+  return {p["label"]: p["score"] for p in predictions}
+
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Image(label="Upload CXR", type="filepath"),
+    outputs=gr.outputs.Label(num_top_classes=2),
+    title="Normal or pneumonia?",
+).launch())