Duplicate from awacke1/Sentiment-analysis-streamlit

Co-authored-by: Aaron C Wacker <awacke1@users.noreply.huggingface.co>

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README.md

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+---
+title: Sentiment Analysis Streamlit
+emoji: 🏃
+colorFrom: red
+colorTo: pink
+sdk: streamlit
+sdk_version: 1.17.0
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: awacke1/Sentiment-analysis-streamlit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load the sentiment analysis model from Hugging Face
+classifier = pipeline('sentiment-analysis')
+
+# Create a Streamlit app
+st.title('Sentiment Analysis with Hugging Face')
+st.write('Enter some text and we will predict its sentiment!')
+
+# Add a text input box for the user to enter text
+text_input = st.text_input('Enter text here')
+
+# When the user submits text, run the sentiment analysis model on it
+if st.button('Submit'):
+    # Predict the sentiment of the text using the Hugging Face model
+    sentiment = classifier(text_input)[0]['label']
+    
+    # Display the sentiment prediction to the user
+    st.write(f'Sentiment: {sentiment}')

requirements.txt

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+transformers
+torch