| import streamlit as st | |
| import seaborn as sns | |
| from transformers import pipeline | |
| sentiment_model = pipeline(model="ashok2216/gpt2-amazon-sentiment-classifier") | |
| st.write('Hi') | |
| sentiments = [] | |
| for text in df['clean_text']: | |
| if list(sentiment_model(text)[0].values())[0] == 'LABEL_1': | |
| output = 'Positive' | |
| else: | |
| output = 'Negative' | |
| sentiments.append(output) | |
| df['sentiments'] = sentiments | |
| sns.countplot(df['sentiments']) | |