Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline(task="image-classification", model="dazzle-nu/autotrain-weather-classification-3739699409")
+
+def predict(image):
+    predictions = pipeline(image)
+    return {p["label"]: p["score"] for p in predictions}
+
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Image(label="Upload image of a weather to analyze", type="filepath"),
+    outputs=gr.outputs.Label(num_top_classes=5),
+    title="Weather Image Identification",
+    share=True,
+).launch()