Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+# Load model and tokenizer
+model = AutoModelForSequenceClassification.from_pretrained("remomo/URLClassifier")
+tokenizer = AutoTokenizer.from_pretrained("remomo/URLClassifier")
+
+# Define prediction function
+def classify_url(url):
+    inputs = tokenizer(url, return_tensors="pt", truncation=True, padding=True)
+    with torch.no_grad():
+        outputs = model(**inputs)
+        pred = torch.argmax(outputs.logits, dim=1).item()
+        return "🔒 Safe" if pred == 0 else "⚠️ Unsafe"
+
+# Create Gradio interface
+iface = gr.Interface(fn=classify_url, 
+                     inputs=gr.Textbox(label="Enter URL"), 
+                     outputs=gr.Textbox(label="Classification"),
+                     title="URL Safety Checker")
+
+iface.launch(share=True)