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import streamlit as st |
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import pandas as pd |
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import random |
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from auth import check_password |
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if not check_password(): |
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st.stop() |
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st.set_page_config( |
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page_title="ARL - Pilot 2a", |
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page_icon="🎆", |
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layout="wide", |
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) |
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df = pd.read_csv('./results.csv') |
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print(df.columns) |
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query = st.experimental_get_query_params() |
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if not query or 'id4' not in query or not query['id4']: |
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rnd_ind = random.randint(0, len(df) - 1) |
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id = 0 |
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st.experimental_set_query_params(id4=id) |
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file_id = id |
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else: |
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file_id = int(query['id4'][0]) |
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st.experimental_set_query_params(id4=file_id) |
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data = df.iloc[file_id] |
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def show_story(): |
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st.subheader('Impacted Story') |
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number_of_story_lines = int(data['Input.number_of_lines']) |
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print(number_of_story_lines) |
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story = data['Input.story'].split('. ') |
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for i in range(number_of_story_lines): |
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row_name = f'Answer.line{i}_changed.on' |
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print(row_name, data[row_name]) |
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if data[row_name] == 'true': |
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st.markdown(f'**Line {i+1}:** <mark style="background-color: white">{story[i]}</mark>', unsafe_allow_html=True) |
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else: |
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st.markdown(f'**Line {i+1}:** {story[i]}') |
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def show_data(): |
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col1, col2 = st.columns(2) |
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with col1: |
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img1, img2, img3 = st.columns(3) |
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with img1: |
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st.image(data['Input.image1']) |
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with img2: |
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st.image(data['Input.image2']) |
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with img3: |
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st.image(data['Input.image3']) |
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st.subheader('Entity') |
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st.write(data['Input.entity']) |
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st.subheader('Agent') |
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st.write(data['Input.agent']) |
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st.subheader('Input Goal') |
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st.write(data['Input.goal']) |
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st.subheader('Story') |
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st.write(data['Input.story']) |
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with col2: |
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st.subheader('Goal') |
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st.write(data['Answer.goal']) |
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st.subheader('Condition Necessary') |
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st.write(data['Answer.condition']) |
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st.subheader('Altered Condition') |
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st.write(data['Answer.not_condition']) |
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st.subheader('Lead to Altered Condition') |
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st.write(data['Answer.not_condition_ep']) |
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print("*****", data['Answer.story_impact.yes']) |
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if data['Answer.story_impact.yes'] == 'true': |
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print("*****", data['Answer.story_impact.yes']) |
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show_story() |
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else: |
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st.subheader('Why no impact?') |
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st.text(data['Answer.why_no_impact']) |
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print(data) |
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from api import show_likert_scale |
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done = show_likert_scale('step_4', 'Rewritten Story', data['AssignmentId']) |
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if st.button("Next", disabled=not done): |
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id = file_id + 1 |
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st.experimental_set_query_params(id4=id) |
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st.experimental_rerun() |
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show_data() |
