Create app.py

Simply returns labels and emotion scores

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+import pandas as pd
+import numpy as np
+from transformers import pipeline
+
+        
+def analyze(poem):
+    classifier = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base", return_all_scores=True)
+    return classifier(poem)
+
+gr.Interface(
+        fn=analyze,
+        inputs= 'text',
+        outputs="text",
+        allow_flagging=False,).launch();