Update app.py

app.py

@@ -1,7 +1,19 @@
+
 import gradio as gr
-from transformers import pipeline as hf_pipeline
+from transformers import pipeline
 
+pipeline = pipeline(task="text-classification", model="TostAI/nsfw-text-detection-large")
 
-gr.Interface.load("TostAI/nsfw-text-detection-large").launch()
+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="Input text"),
+    outputs=[gr.Text(label="Processed Text"), gr.Label(label="Result", num_top_classes=3)],
+    title="NSFW Prediction",
+)
 
+if __name__ == "__main__":
+    gradio_app.launch()