Update app.py

app.py

@@ -1,19 +1,19 @@
-
-import gradio as gr
-from transformers import pipeline
-
-pipeline = pipeline("image-classification", model="AZIIIIIIIIZ/vit-base-patch16-224-finetuned-eurosat")
-
-def predict(input_img):
-    predictions = pipeline(input_img)
-    return input_img, {p["label"]: p["score"] for p in predictions} 
-
-gradio_app = gr.Interface(
-    predict,
-    inputs=gr.Image(label="Select Image", sources=['upload', 'webcam'], type="pil"),
-    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
-    title="AI Generated? Or Not?",
-)
-
-if __name__ == "__main__":
+
+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline("image-classification", model="AZIIIIIIIIZ/swin-tiny-patch4-window7-224-finetuned-eurosat")
+
+def predict(input_img):
+    predictions = pipeline(input_img)
+    return input_img, {p["label"]: p["score"] for p in predictions} 
+
+gradio_app = gr.Interface(
+    predict,
+    inputs=gr.Image(label="Select Image", sources=['upload', 'webcam'], type="pil"),
+    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
+    title="AI Generated? Or Not?",
+)
+
+if __name__ == "__main__":
     gradio_app.launch()