Update app.py

app.py

@@ -1,18 +1,20 @@
 import gradio as gr
-from transformers import pipeline
+from transformers import pipeline as hf_pipeline
 
-pipeline = pipeline(task="text-classification", model="TostAI/nsfw-text-detection-large")
+classifier = hf_pipeline(task="text-classification", model="TostAI/nsfw-text-detection-large")
 
 def predict(input_txt):
-    predictions = pipeline(input_txt)
-    return input_txt, {p["label"]: p["score"] for p in predictions} 
+    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"))
 
 gradio_app = gr.Interface(
-    predict,
+    fn=predict,
     inputs=gr.Textbox(label="Enter text"),
-    outputs=[gr.Label(label="Result", num_top_classes=2)],
-    title="NSFW Classifier",
+    outputs=gr.Number(label="NSFW score")
 )
 
 if __name__ == "__main__":
     gradio_app.launch()
+