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