Spaces:
Runtime error
Runtime error
| import streamlit as st | |
| import pandas as pd | |
| st.set_page_config(layout="wide") | |
| segment_len_limit = st.number_input("Minimum segment length (# of words)", min_value=0, max_value=10000,value=100, step = 10) | |
| xl1 = st.file_uploader("Choose csv file", key="xl1") | |
| if xl1 is not None : | |
| #assert that the first few columns are the same | |
| df = pd.read_csv(xl1) | |
| df = df.drop(["T5 title - Candidates","T5 headline - Candidates", "BART", "BART Meeting"], axis=1) | |
| st.title(df["session_title"].iloc[0]) | |
| with st.form("Headline Candidates"): | |
| methods_score = {x:0 for x in df.columns.values if x!="text"} | |
| i = 0 | |
| j = 0 | |
| for index, row in df.iterrows(): | |
| #if segment has fewer words than segment_len_limit, ignore it | |
| if len(row["text"].split(' ')) < segment_len_limit: | |
| continue | |
| col1, col2= st.columns(2) | |
| with col1: | |
| st.write(row["text"]) | |
| with col2: | |
| ignore_segment = st.checkbox("Ignore?", value=False, key=f"{j}_ignore") | |
| if ignore_segment: | |
| mult = 0 | |
| else: | |
| mult = 1 | |
| j +=1 | |
| for method in row.keys(): | |
| if method=="text" or method=="session_title": | |
| continue | |
| #methods_score[method] += st.slider(f"{row[method]}",min_value=1,max_value=3,value=2,step=1, key=i) * mult | |
| methods_score[method] += int(st.radio(f"{row[method]}",(0,1,2,3), index=2, horizontal = True, | |
| key=i)) * mult | |
| i += 1 | |
| st.markdown("""---""") | |
| submitted = st.form_submit_button("Submit") | |
| if submitted: | |
| st.write(methods_score) |