app.py

import streamlit as st
from story_gen import StoryGenerator
import plotly.figure_factory as ff
import plotly.express as px
import random
import numpy as np
gen = StoryGenerator()

st.set_page_config(page_title='Storytelling ' +
                   u'\U0001F5BC', page_icon=u'\U0001F5BC', layout="wide")
if 'count' not in st.session_state or st.session_state.count == 6:
	  st.session_state.count = 0
	  st.session_state.chat_history_ids = None
	  st.session_state.old_response = ''
else:
    st.session_state.count += 1
container_mode = st.sidebar.container()
container_guide = st.sidebar.container()
container_param = st.sidebar.container()
container_button = st.sidebar.container()
mode = container_mode.radio(
    "Select your mode",
    ('Create Statistics', 'Play Storytelling'), index=0)
story_till_now = st.text_input(
    label='First Sentence', 
    value=random.choice([
        'Hello, I\'m a language model,',
        'So I suppose you want to ask me how I did it.',
        'I always wanted to be a giraffe - until that night.',
        'My first tutor was a dragon with a terrible sense of humor.',
        'Doctors told her she could never diet again.',
        'Memory is all around us, as well as within.',
        
        ]))

num_generation = container_param.slider(
    label='Number of generation', min_value=1, max_value=100, value=5, step=1)
length = container_param.slider(label='Length of the generated sentence',
                                min_value=1, max_value=100, value=10, step=1)
if mode == 'Create Statistics':
    
    num_tests = container_param.slider(
        label='Number of tests', min_value=1, max_value=1000, value=3, step=1)
    reaction_weight_mode = container_param.select_slider(
        "Reaction Weight w:", ["Random", "Fixed"])
    if reaction_weight_mode == "Fixed":
        reaction_weight = container_param.slider(
            label='Reaction Weight w', min_value=0.0, max_value=1.0, value=0.5, step=0.01)
    elif reaction_weight_mode == "Random":
        reaction_weight = -1
    if container_button.button('Analyse'):
        gen.get_stats(story_till_now=story_till_now,
                      num_generation=num_generation, length=length, reaction_weight=reaction_weight, num_tests=num_tests)
        # if len(gen.stories) > 0:
        #     for si, story in enumerate(gen.stories):
        #         st.markdown(f'### Story no. {si}:', unsafe_allow_html=False)
        #         st.markdown(story, unsafe_allow_html=False)
        #     data=gen.stats_df[gen.stats_df.sentence_no==3]
        #     fig = px.violin(data_frame=data, x="reaction_weight", y="num_reactions", hover_data=data.columns)
        #     st.plotly_chart(fig, use_container_width=True)
        #     fig2 = px.box(data_frame=data, x="reaction_weight", y="num_reactions", hover_data=data.columns)
        #     st.plotly_chart(fig2, use_container_width=True)
        if len(gen.data) > 0:
            for si, story in enumerate(gen.data):
                st.markdown(f'### Story no. {si}:', unsafe_allow_html=False)
                for i, sentence in enumerate(story):
                    col_sentence, col_emo = st.columns([3,1])
                    col_sentence.markdown(sentence['sentence'], unsafe_allow_html=False)
                    col_emo.markdown(f'{sentence["emotion"]} {np.round(sentence["confidence_score"], 3)}', unsafe_allow_html=False)
            st.table(data=gen.stats_df, )
            data=gen.stats_df[gen.stats_df.sentence_no==3]
            fig = px.violin(data_frame=data, x="reaction_weight", y="num_reactions", hover_data=data.columns)
            st.plotly_chart(fig, use_container_width=True)
            fig2 = px.box(data_frame=data, x="reaction_weight", y="num_reactions", hover_data=data.columns)
            st.plotly_chart(fig2, use_container_width=True)
    else:
        container_guide.markdown('### You selected statistics. Now set your parameters and click the `Analyse` button.')
elif mode == 'Play Storytelling':

    # # , placeholder="Start writing your story...")
    # story_till_now = st.text_input(
    #     label='First Sentence', value='Hello, I\'m a language model,')

    # num_generation = st.sidebar.slider(
    #     label='Number of generation', min_value=1, max_value=100, value=10, step=1)
    # length = st.sidebar.slider(label='Length of the generated sentence',
    #                            min_value=1, max_value=100, value=20, step=1)
    if container_button.button('Run'):
        story_till_now, emotion = gen.story(
            story_till_now, num_generation, length)
        st.markdown(f'### Story')
        st.text(story_till_now)
        st.markdown(f'The last sentence has the "{emotion["label"]}" **Emotion** with a confidence score of {emotion["score"]}.')
    else:
        container_guide.markdown('### Write the first sentence and then hit the `Run` button')
# elif mode == 'Analyse Emotions':
#     container_mode.write('Let\'s play storytelling.')