Create app.py

app.py

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+from geoclip import GeoCLIP
+model = GeoCLIP()
+print("loaded")
+from PIL import Image
+import tempfile
+from pathlib import Path
+import gradio as gr
+def predict(image):
+    with tempfile.TemporaryDirectory() as tmp_dir:
+        tmppath = Path(tmp_dir) / "tmp.jpg"
+        image.save(str(tmppath))
+        top_pred_gps, top_pred_prob = model.predict(str(tmppath), top_k=50)
+        
+    predictions = []
+    for i in range(5):
+        lat, lon = top_pred_gps[i]
+        probpercent = top_pred_prob[i] * 100
+        prediction = f"{i+1}: ({lat:.6f}, {lon:.6f}) - probability: {probpercent:.2f}%"
+        predictions.append(prediction)
+    return "\n".join(predictions)
+app = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil", label="upload iamge"),
+    outputs=gr.Textbox(label="predictions"),
+    title="web interface for geolocation project @inputoutputcontrol",
+    description="upload image to predict location",
+)
+app.launch()