Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import pipeline
+
+distilled_student_sentiment_classifier = pipeline(
+    model="lxyuan/distilbert-base-multilingual-cased-sentiments-student", 
+    return_all_scores=True
+)
+
+def sentiment_analysis(user_query: str):
+  result = distilled_student_sentiment_classifier(user_query)[0]
+  structured_result = dict()
+  for r in result:
+    structured_result[r["label"]] = r["score"]
+  return structured_result
+
+demo = gr.Interface(
+    fn = sentiment_analysis,
+    inputs = [gr.Textbox()],
+    outputs = [gr.Label()]
+)
+
+demo.launch()