Create app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from transformers import pipeline
+
+classifier = pipeline('text-classification', model="abhi227070/distilbert-base-uncased-finetuned-imdb")
+
+def sentiment_analysis(text):
+
+    result = classifier(text)
+
+    return result[0]['label'], result[0]['score']
+
+
+iface = gr.Interface(
+    fn = sentiment_analysis,
+    inputs = gr.Textbox(label="Context", placeholder="Enter your text here...", lines = 5),
+    outputs = [gr.Textbox(label="Result"), gr.Textbox(label="Accuracy")]
+)
+
+iface.launch()