updated

app.py

@@ -1,3 +1,15 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.Interface.load("models/pranavbup/aircraft-classification").launch()
+pipeline = pipeline(task="image-classification", model="models/pranavbup/aircraft-classification")
+
+def predict(image):
+    predictions = pipeline(image)
+    return {p["label"]: p["score"] for p in predictions}
+
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Image(label="Upload only commercial aircraft image here", type="filepath"),
+    outputs=gr.outputs.Label(num_top_classes=5),
+    title="Which Aircraft type is it?",
+).launch()