Create app.py

app.py

@@ -0,0 +1,22 @@
+from transformers import pipeline
+import gradio as gr
+
+# Use a lightweight model for testing
+model = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+# A simple function to test the app
+def classify_text(text):
+    return model(text)
+
+# Gradio interface
+interface = gr.Interface(
+    fn=classify_text,
+    inputs="text",
+    outputs="json",
+    title="Text Classification Test",
+    description="Enter a sentence to classify its sentiment."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch(server_name="0.0.0.0")