Create app.py

app.py

@@ -0,0 +1,9 @@
+from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+import gradio as grad
+import ast
+mdl_name = "lxyuan/distilbert-base-multilingual-cased-sentiments-student"
+my_pipeline = pipeline(model=mdl_name, return_all_scores=True)
+def get_text(text):
+    response = my_pipeline(text)
+    return response
+grad.Interface(get_text, inputs=["text"], outputs="text").launch()