Update app.py

app.py

@@ -1,20 +1,7 @@
 import gradio as gr
 from transformers import pipeline as hf_pipeline
 
-classifier = hf_pipeline(task="text-classification", model="TostAI/nsfw-text-detection-large")
 
-def predict(input_txt):
-    preds = classifier(input_txt)
-    # Find score for label "NSFW" (case-sensitive). Fallback: use highest-scoring label's score.
-    score = None
-    return float(preds[0].get("score"))
+gr.Interface.load("TostAI/nsfw-text-detection-large").launch()
 
-gradio_app = gr.Interface(
-    fn=predict,
-    inputs=gr.Textbox(label="Enter text"),
-    outputs=gr.Number(label="NSFW score")
-)
-
-if __name__ == "__main__":
-    gradio_app.launch()