Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline(task="text-classification", model="MichalMlodawski/nsfw-text-detection-large")
+
+def predict(input_txt):
+    predictions = pipeline(input_txt)
+    return input_txt, {p["label"]: p["score"] for p in predictions} 
+
+gradio_app = gr.Interface(
+    predict,
+    inputs=gr.Textbox(label="Enter text"),
+    outputs=[gr.Label(label="Result", num_top_classes=2)],
+    title="NSFW Classifier",
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()