Add application file

app.py

@@ -0,0 +1,33 @@
+# Import necessary libraries
+import streamlit as st
+import transformers
+import torch
+from transformers import pipeline
+
+# Set up the Streamlit app
+st.title("Emotion Detection with Transformers")
+
+# Create a text input widget
+user_input = st.text_area("Enter your text:")
+
+
+# Define a function for sentiment analysis using transformers
+@st.cache(allow_output_mutation=True)
+def load_model():
+    return pipeline("sentiment-analysis")
+
+
+# Load the sentiment analysis model
+sentiment_analyzer = load_model()
+
+# Create a button to analyze the emotion
+if st.button("Analyze Emotion"):
+    if user_input:
+        # Perform sentiment analysis on user input
+        result = sentiment_analyzer(user_input)
+
+        # Display the result
+        emotion = result[0]['label']
+        st.write(f"Emotion: {emotion}")
+    else:
+        st.warning("Please enter some text to analyze.")