Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import numpy as np
+import torch
+import transformers
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="bhadresh-savani/bert-base-uncased-emotion")
+
+st.write('Enter Text for Emotion Detection:')
+
+text=st.text_input("")
+
+if st.button("Submit"):
+    st.write(pipe(text)[0]["label"])