Update app.py

app.py

@@ -2,10 +2,10 @@
 import gradio as gr
 from transformers import pipeline
 
-pipeline = pipeline(task="text-classification", model="TostAI/nsfw-text-detection-large")
+pipe = pipeline(task="text-classification", model="TostAI/nsfw-text-detection-large")
 
 #def predict(input_txt):
-#    predictions = pipeline(input_txt)
+#    predictions = pipe(input_txt)
 #    return {p["label"]: p["score"] for p in predictions} 
 
 #gradio_app = gr.Interface(
@@ -15,7 +15,7 @@ pipeline = pipeline(task="text-classification", model="TostAI/nsfw-text-detectio
 #    title="NSFW Prediction",
 #)
 
-gradio_app = gr.Interface.from_pipeline(pipeline)
+gradio_app = gr.Interface.from_pipeline(pipe)
 
 if __name__ == "__main__":
     gradio_app.launch()