Spaces:
Runtime error
Runtime error
| import streamlit as st | |
| import tensorflow as tf | |
| from transformers import AutoTokenizer, TFAutoModelForSequenceClassification | |
| tokenizer = AutoTokenizer.from_pretrained("Yah216/Sentiment_Analysis_CAMelBERT_msa_sixteenth_HARD") | |
| model = TFAutoModelForSequenceClassification.from_pretrained("Yah216/Sentiment_Analysis_CAMelBERT_msa_sixteenth_HARD") | |
| labels= model.config.label2id | |
| text = st.text_area("Enter some text!") | |
| if text: | |
| out = tf.math.softmax(model(tokenizer(text, padding=True, truncation=True, return_tensors="np")).logits, axis = -1) | |
| res = out.numpy() | |
| labels['NEGATIVE'] = res[0,0] | |
| labels['NEUTRAL'] = res[0,1] | |
| labels['POSITIVE'] = res[0,2] | |
| st.json(labels) |