Update app.py

app.py

@@ -6,4 +6,11 @@ access_token = "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"
 
 model = AutoModel.from_pretrained("EkhiAzur/RoBERTA_3", token=access_token)
 
-gr.Interface.load(model).launch()
+classifier = pipeline("text-classification", model=model, max_length=512,
+                padding=True, truncation=True, batch_size=1)
+
+def prozesatu(testua):
+    prediction = prozesatu.classifier(testua)
+    return f'C1:{prediction["label"]}. Probabilitatea:{prediction["score"]}'
+
+gr.Interface(fn=prozesatu, inputs="text", outputs="text").launch()