import streamlit as st import transformers as t import plotly.express as px import pandas as pd st.title("Phrase Feeling Analysis") with st.spinner(text="Loading model..."): classifier = t.pipeline("zero-shot-classification", model="facebook/bart-large-mnli", multi_class=True) sentiment_task = t.pipeline("sentiment-analysis", model="cardiffnlp/twitter-xlm-roberta-base-sentiment", tokenizer="cardiffnlp/twitter-xlm-roberta-base-sentiment") x = st.text_input("Enter your title here:") candidate_labels = ['anger', 'sadness', 'fear', 'joy', 'interest', 'surprise', 'disgust', 'shame', 'compassion', 'other'] if x != "": with st.spinner(text="Evaluating your input..."): output = classifier(x, candidate_labels) sentiment = sentiment_task(x) st.write(str(sentiment)) ordered_results = [] for lbl in candidate_labels: ind = output['labels'].index(lbl) ordered_results.append(output['scores'][ind]) df = pd.DataFrame(dict(r=ordered_results, theta=candidate_labels)) fig = px.line_polar(df, r='r', theta='theta', line_close=True) fig.update_traces(fill='toself') st.plotly_chart(fig)