Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import pipeline
+
+sentiment_classifier = pipeline("text-classification", return_all_scores=True)
+
+def classifier(text):
+    pred = sentiment_classifier(text)
+    return {p["label"]: p["score"] for p in pred[0]}
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            input_text = gr.Textbox(label="Input Text")
+            with gr.Row():
+                classify = gr.Button("Done")
+        with gr.Column():
+            label = gr.Label(label="Predicted Sentiment")
+
+    classify.click(classifier, input_text, label)
+demo.launch()