Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load zero-shot classification model
+classifier = pipeline(
+    "zero-shot-classification",
+    model="MoritzLaurer/deberta-v3-large-zeroshot-v2.0"
+)
+
+def classify_text(text, labels):
+    labels_list = [label.strip() for label in labels.split(",")]
+    result = classifier(text, candidate_labels=labels_list)
+    formatted = "\n".join([
+        f"{label}: {score:.2f}" for label, score in zip(result["labels"], result["scores"])
+    ])
+    return formatted
+
+demo = gr.Interface(
+    fn=classify_text,
+    inputs=[
+        gr.Textbox(lines=3, label="Text to classify"),
+        gr.Textbox(lines=1, label="Labels (comma separated, e.g. adverse, beneficial, neutral)")
+    ],
+    outputs="text",
+    title="DeBERTa Zero-Shot Classification API",
+    description="Zero-shot classification using MoritzLaurer's DeBERTa-v3-large-zeroshot-v2.0 model."
+)
+
+demo.launch()