Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline(task="text-classification", model="databoyface/distilbert-base-cased-ome-v4.2")
+
+def predict(input_txt):
+    predictions = pipeline(input_txt)
+    return {p["label"] for p in predictions}
+    
+gradio_app = gr.Interface(
+    fn=predict,
+    inputs=["text"],
+    outputs=["text"],
+    title="How do you feel?",
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()