Add app file

app.py

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+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("Classify Sentiment")
+        with gr.Column():
+            label = gr.Label(label="Predicted Sentiment")
+
+    classify.click(classifier, input_text, label)
+demo.launch()

requirements.txt

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+torch
+transformers