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import gradio as gr
import pandas as pd
import re
import csv
import pandas as pd
def update_scores(winner, loser, k_factor=100):
score_difference = int(k_factor/(winner/loser))
winner += score_difference
loser -= score_difference
return winner, loser
def vote_startup(songs_df):
try:
songs_df = songs_df[["elo_score", "artist", "song_title"]]
except:
songs_df = pd.DataFrame(columns=['elo_score', 'artist', 'song_title'])
if len(songs_df)>0:
slice_size = 4
slice = int(len(songs_df)/slice_size)
sample = songs_df[slice:(slice_size-1)*slice].sample(frac=1).iloc[0]
song_title, artist = sample["song_title"], sample["artist"]
if len(songs_df) > 1:
# Randomly select a song to compare with
sample = songs_df.sample(frac=1)
comparison_song = sample.iloc[0]
if comparison_song['song_title'] == song_title and comparison_song['artist'] == artist:
comparison_song = sample.iloc[1]
first_df = songs_df[songs_df["song_title"]==song_title][songs_df["artist"]==artist]
first_string = first_df["song_title"].tolist()[0]+" - "+first_df["artist"].tolist()[0]
second_df = comparison_song
second_string = second_df["song_title"]+" - "+second_df["artist"]
return f"Do you like '{artist} - {song_title}' better than '{comparison_song['artist']} - {comparison_song['song_title']}'?", first_string, second_string, display_rankings(songs_df)
else:
return "Add some songs to start voting!", "", "", display_rankings(songs_df)
def clean_string(string):
string = string.strip().replace(" "," ").lower()
string = " ".join([x[0].upper()+x[1:] for x in string.split()])
return string
def add_and_compare(artist, song_title, songs_df):
try:
songs_df = songs_df[["elo_score", "artist", "song_title"]]
except:
songs_df = pd.DataFrame(columns=['elo_score', 'artist', 'song_title'])
if artist != "" and song_title != "":
artist = clean_string(artist)
song_title = clean_string(song_title)
new_song = pd.DataFrame({'artist': [artist], 'song_title': [song_title], 'elo_score': [1000]})
songs_df = pd.concat([songs_df, new_song], ignore_index=True)
songs_df.to_csv("songs_df.csv")
songs_df = songs_df[["elo_score", "artist", "song_title"]]
return "", "", display_rankings(songs_df)
# Function to update Elo ratings based on user's choice
def update_ratings_pos(first_string, second_string, songs_df):
try:
songs_df = songs_df[["elo_score", "artist", "song_title"]]
except:
songs_df = pd.DataFrame(columns=['elo_score', 'artist', 'song_title'])
if len(songs_df)==0:
return "Add some songs to start voting!", "", "", display_rankings(songs_df)
if first_string != "":
songs_df["combined"] = songs_df["song_title"] + " - " + songs_df["artist"]
loser = songs_df[songs_df["combined"] == second_string]
winner = songs_df[songs_df["combined"] == first_string]
# Update Elo scores
winner_score, loser_score = update_scores(winner['elo_score'].values[0], loser['elo_score'].values[0])
songs_df.at[winner.index[0], 'elo_score'] = winner_score
songs_df.at[loser.index[0], 'elo_score'] = loser_score
songs_df = songs_df.sort_values(by='elo_score', ascending=False)
songs_df.to_csv("songs_df.csv")
slice_size = 4
slice = int(len(songs_df)/slice_size)
sample = songs_df[slice:(slice_size-1)*slice].sample(frac=1).iloc[0]
song_title, artist = sample["song_title"], sample["artist"]
if len(songs_df) > 1:
# Randomly select a song to compare with
sample = songs_df.sample(frac=1)
comparison_song = sample.iloc[0]
if comparison_song['song_title'] == song_title and comparison_song['artist'] == artist:
comparison_song = sample.iloc[1]
first_df = songs_df[songs_df["song_title"]==song_title][songs_df["artist"]==artist]
first_string = first_df["song_title"].tolist()[0]+" - "+first_df["artist"].tolist()[0]
second_df = comparison_song
second_string = second_df["song_title"]+" - "+second_df["artist"]
return f"Do you like '{artist} - {song_title}' better than '{comparison_song['artist']} - {comparison_song['song_title']}'?", first_string, second_string, display_rankings(songs_df)
else:
return "Add some songs to start voting!", "", "", display_rankings(songs_df)
# Function to update Elo ratings based on user's choice
def update_ratings_neg(first_string, second_string, songs_df):
try:
songs_df = songs_df[["elo_score", "artist", "song_title"]]
except:
songs_df = pd.DataFrame(columns=['elo_score', 'artist', 'song_title'])
if len(songs_df)==0:
return "Add some songs to start voting!", "", "", display_rankings(songs_df)
if first_string != "":
songs_df["combined"] = songs_df["song_title"] + " - " + songs_df["artist"]
loser = songs_df[songs_df["combined"] == first_string]
winner = songs_df[songs_df["combined"] == second_string]
# Update Elo scores
winner_score, loser_score = update_scores(winner['elo_score'].values[0], loser['elo_score'].values[0])
songs_df.at[winner.index[0], 'elo_score'] = winner_score
songs_df.at[loser.index[0], 'elo_score'] = loser_score
songs_df = songs_df.sort_values(by='elo_score', ascending=False)
songs_df.to_csv("songs_df.csv")
slice_size = 4
slice = int(len(songs_df)/slice_size)
sample = songs_df[slice:(slice_size-1)*slice].sample(frac=1).iloc[0]
song_title, artist = sample["song_title"], sample["artist"]
if len(songs_df) > 1:
# Randomly select a song to compare with
sample = songs_df.sample(frac=1)
comparison_song = sample.iloc[0]
if comparison_song['song_title'] == song_title and comparison_song['artist'] == artist:
comparison_song = sample.iloc[1]
first_df = songs_df[songs_df["song_title"]==song_title][songs_df["artist"]==artist]
first_string = first_df["song_title"].tolist()[0]+" - "+first_df["artist"].tolist()[0]
second_df = comparison_song
second_string = second_df["song_title"]+" - "+second_df["artist"]
return f"Do you like '{artist} - {song_title}' better than '{comparison_song['artist']} - {comparison_song['song_title']}'?", first_string, second_string, display_rankings(songs_df)
else:
return "Add some songs to start voting!", "", "", display_rankings(songs_df)
def display_rankings(songs_df=pd.DataFrame(columns=['elo_score', 'artist', 'song_title'])):
songs_df = songs_df.sort_values(by='elo_score', ascending=False)
songs_df = songs_df[["elo_score", "artist", "song_title"]]
songs_df.to_csv("songs_df.csv")
return songs_df
def export_csv(songs_df):
# Function to export DataFrame to CSV
save_df = songs_df
save_df.to_csv("songs_df.csv")
return "songs_df.csv"
def import_csv(file, songs_df):
if file is not None:
#file_content = file.decode('utf-8')
new_df = pd.read_csv(file)
try:
songs_df = songs_df[["elo_score", "artist", "song_title"]]
except:
songs_df = pd.DataFrame(columns=['elo_score', 'artist', 'song_title'])
new_df = new_df[["elo_score", "artist", "song_title"]]
songs_df = pd.concat([songs_df,new_df])
songs_df = songs_df.drop_duplicates(subset=['artist', 'song_title'])
return songs_df
# Function to remove a song
def remove_song(artist, song_title, songs_df):
# Find and remove the song from the DataFrame
artist = clean_string(artist)
song_title = clean_string(song_title)
songs_df = songs_df[~((songs_df["artist"] == artist) & (songs_df["song_title"] == song_title))]
return songs_df[["elo_score", "artist", "song_title"]]
def reset_rankings(songs_df):
songs_df["elo_score"] = [1000]*len(songs_df)
songs_df = songs_df[["elo_score", "artist", "song_title"]]
return display_rankings(songs_df)
def clear_rankings(songs_df):
songs_df = pd.DataFrame(columns=['elo_score', 'artist', 'song_title'])
return display_rankings(songs_df)
# theme='Taithrah/Minimal'
# Gradio interface
theme = gr.themes.Soft(primary_hue="red", secondary_hue="blue")
with gr.Blocks(theme=theme) as app:
gr.Markdown(
"""## Preference-based Elo Ranker
This tool helps you create **accurate rankings** of things based on your personal preferences.
It does this by asking you questions comparing a random pair of your inpys, and then using your
answers to calculate Elo scores for ranking.
"""
)
with gr.Row():
previews_df = pd.DataFrame(columns=['elo_score', 'artist', 'song_title'])
previews = gr.DataFrame(value=previews_df, interactive=False, visible=False)
with gr.Column():
gr.Markdown(
"""### Vote to Rank
"""
)
with gr.Row():
compare_output = gr.Textbox("Add some options to start voting!", label="Comparison", interactive=False, scale=3)
with gr.Row():
yes_button = gr.Button("Yes", variant="secondary")
no_button = gr.Button("No", variant="primary")
new_vote = gr.Button("New Vote")
with gr.Row():
with gr.Column():
compare_index_1 = gr.Textbox(label="",interactive=False, visible=False)
with gr.Column():
compare_index_2 = gr.Textbox(label="",interactive=False, visible=False)
with gr.Column():
gr.Markdown(
"""### Rankings
"""
)
songs_df = pd.DataFrame(columns=['elo_score', 'artist', 'song_title'])
rankings = gr.DataFrame(value=songs_df, interactive=False, headers=["Score","Artist", "Song"])
with gr.Row():
artist_input = gr.Textbox(label="Artist")
song_title_input = gr.Textbox(label="Song Title")
add_button = gr.Button("Add Song")
add_button.click(add_and_compare, inputs=[artist_input, song_title_input, rankings], outputs=[compare_index_1, compare_index_2, rankings])
gr.Markdown(
"""### Remove Songs
"""
)
with gr.Row():
remove_artist_input = gr.Textbox(label="Artist")
remove_song_title_input = gr.Textbox(label="Song Title")
remove_button = gr.Button("Remove Song")
remove_button.click(remove_song, inputs=[remove_artist_input, remove_song_title_input, rankings], outputs=rankings)
gr.Markdown(
"""### Import and Export Rankings
"""
)
with gr.Row():
# Import CSV file to replace the existing DataFrame
import_button = gr.File(label="Import CSV", file_count="single")
import_button.change(fn=import_csv, inputs=[import_button, rankings], outputs=[rankings])
with gr.Column():
# Export button to download the DataFrame as CSV
export_link = gr.File(label="Download CSV", file_count="single")
export_button = gr.Button("Export as CSV")
export_button.click(fn=export_csv, inputs=[rankings], outputs=export_link)
gr.Markdown("### Reset Data")
with gr.Row():
reset_button = gr.Button("Reset Scores")
reset_button.click(reset_rankings, inputs=[rankings], outputs=rankings)
clear_button = gr.Button("Clear Table", variant="primary")
clear_button.click(clear_rankings, inputs=[rankings], outputs=rankings)
# add_button.click(add_and_compare, inputs=[artist_input, song_title_input, rankings], outputs=[artist_input, song_title_input, rankings])
yes_button.click(update_ratings_pos, inputs=[compare_index_1, compare_index_2, rankings], outputs=[compare_output, compare_index_1, compare_index_2, rankings])
no_button.click(update_ratings_neg, inputs=[compare_index_1, compare_index_2, rankings], outputs=[compare_output, compare_index_1, compare_index_2, rankings])
new_vote.click(vote_startup, inputs=[rankings, previews],outputs=[compare_output, compare_index_1, compare_index_2, rankings])
app.launch(share=False) |