Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr 
+from transformers import pipeline
+ 
+pipe = pipeline("text-classification","uer/roberta-base-finetuned-jd-binary-chinese")
+ 
+def clf(text):
+    result = pipe(text)
+    label = result[0]['label']
+    score = result[0]['score']
+    res = {label:score,'positive' if label.startswith('negative') else 'negative': 1-score}
+    return res 
+ 
+demo = gr.Interface(fn=clf, inputs=gr.Textbox(label="输入文本"), outputs=gr.Label(label="输出结果"))
+gr.close_all()
+demo.launch()