Create app.py

app.py

@@ -0,0 +1,17 @@
+from transformers import pipeline
+import gradio as gr
+
+model_id = 'okite97/distilbert-base-uncased-najianews'
+pipe = pipeline('text-classification',model=model_id)
+
+def predict_news(title, description):
+  news = title + '. ' + description
+  outputs = pipe(news, return_all_scores=True)
+  return outputs
+  
+  
+textbox1  = gr.Textbox(label="News Title" , lines=2)
+textbox2  = gr.Textbox(label="Excerpt:", placeholder="John Doe", lines=2)
+demo = gr.Interface(fn=predict_news, inputs = [textbox1, textbox2], 
+                     outputs = 'text')
+