Delete app.py

app.py

@@ -1,21 +0,0 @@
-import gradio as gr
-from transformers import TextClassificationPipeline
-
-model_path = "leadingbridge/sentiment-analysis"
-tokenizer = BertTokenizerFast.from_pretrained(model_path)
-model = TFBertForSequenceClassification.from_pretrained(model_path, id2label={0: 'negative', 1: 'positive'} )
-
-def sentiment_analysis(text):
-  pipe = TextClassificationPipeline(model=model, tokenizer=tokenizer)
-  result = pipe(text)
-  return result
-
-
-with gr.Blocks() as demo:
-    gr.Markdown("Choose the Chinese NLP model you want to use.")
-    with gr.Tab("Sentiment Analysis"):
-        text_button = gr.Button("proceed")          
-        text_button.click(fn=sentiment_analysis,inputs=gr.Textbox(placeholder="Enter a positive or negative sentence here..."),
-                 outputs=gr.Textbox(label="Sentiment Analysis"))
-
-demo.launch()