<<<<<<< HEAD # streamlit_app.py import streamlit as st import requests st.title("IMDB 情感分析 Demo") # 单条文本输入 text = st.text_area("输入文本", "This movie was amazing!") if st.button("预测情感"): response = requests.post( "http://127.0.0.1:8000/predict", json={"text": text} ) result = response.json() st.write(f"情感：{result['label']}") st.write(f"置信度：{result['confidence']:.2f}") # 批量文本输入 batch_texts = st.text_area("批量文本（每行一条）", "I loved it\nNot good") if st.button("批量预测"): texts_list = [line.strip() for line in batch_texts.split("\n") if line.strip()] response = requests.post( "http://127.0.0.1:8000/predict_batch", json={"texts": texts_list} ) results = response.json() for r in results: st.write(f"{r['text']} → {r['label']} ({r['confidence']:.2f})") ======= # streamlit_app.py import streamlit as st import requests st.title("IMDB 情感分析 Demo") # 单条文本输入 text = st.text_area("输入文本", "This movie was amazing!") if st.button("预测情感"): response = requests.post( "http://127.0.0.1:8000/predict", json={"text": text} ) result = response.json() st.write(f"情感：{result['label']}") st.write(f"置信度：{result['confidence']:.2f}") # 批量文本输入 batch_texts = st.text_area("批量文本（每行一条）", "I loved it\nNot good") if st.button("批量预测"): texts_list = [line.strip() for line in batch_texts.split("\n") if line.strip()] response = requests.post( "http://127.0.0.1:8000/predict_batch", json={"texts": texts_list} ) results = response.json() for r in results: st.write(f"{r['text']} → {r['label']} ({r['confidence']:.2f})") >>>>>>> 9ef5a78 (首次提交)