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import pandas as pd
import gradio as gr
import os
from gradio_rangeslider import RangeSlider
import calendar
import datetime
from src.filter_utils import filter, filter_cols
from src.process_data import merge_data
import assets.text_content as tc
# Main Leaderboard containing everything
text_leaderboard = pd.read_csv(os.path.join('assets', 'merged_data.csv'))
text_leaderboard = text_leaderboard.sort_values(by=tc.CLEMSCORE, ascending=False)
# When displaying latency values
text_leaderboard[tc.LATENCY] = text_leaderboard[tc.LATENCY].round(1)
text_leaderboard[tc.CLEMSCORE] = text_leaderboard[tc.CLEMSCORE].round(1)
open_weight_df = text_leaderboard[text_leaderboard[tc.OPEN_WEIGHT] == True]
if not open_weight_df.empty: # Check if filtered df is non-empty
max_parameter_size = open_weight_df[tc.PARAMS].max()
# Short leaderboard containing fixed columns
short_leaderboard = filter_cols(text_leaderboard)
## Extract data
langs = []
licenses = []
ip_prices = []
op_prices = []
latencies = []
parameters = []
contexts = []
dates = []
for i in range(len(text_leaderboard)):
lang_splits = text_leaderboard.iloc[i][tc.LANGS].split(',')
lang_splits = [s.strip() for s in lang_splits]
langs += lang_splits
license_name = text_leaderboard.iloc[i][tc.LICENSE_NAME]
licenses.append(license_name)
ip_prices.append(text_leaderboard.iloc[i][tc.INPUT])
op_prices.append(text_leaderboard.iloc[i][tc.OUTPUT])
latencies.append(text_leaderboard.iloc[i][tc.LATENCY])
parameters.append(text_leaderboard.iloc[i][tc.PARAMS])
contexts.append(text_leaderboard.iloc[i][tc.CONTEXT])
dates.append(text_leaderboard.iloc[i][tc.RELEASE_DATE])
langs = list(set(langs))
langs.sort()
licenses = list(set(licenses))
licenses.sort()
max_input_price = max(ip_prices)
max_output_price = max(op_prices)
max_latency = text_leaderboard[tc.LATENCY].max().round(3)
min_parameters = 0 if pd.isna(min(parameters)) else min(parameters)
max_parameter = max_parameter_size
parameter_step = 1
min_context = min(contexts)
max_context = max(contexts)
context_step = 8
min_date = min(dates)
max_date = max(dates)
# Date settings
today = datetime.date.today()
end_year = today.year
start_year = tc.START_YEAR
YEARS = list(range(int(start_year), int(end_year)+1))
YEARS = [str(y) for y in YEARS]
MONTHS = list(calendar.month_name[1:])
TITLE = tc.TITLE
llm_calc_app = gr.Blocks()
with llm_calc_app:
gr.HTML(TITLE)
with gr.Row():
#####################################
# First Column
####################################
## Language Select
with gr.Column():
with gr.Row():
lang_dropdown = gr.Dropdown(
choices=langs,
value=[],
multiselect=True,
label="Languages 🗣️"
)
with gr.Row():
with gr.Column():
start_year = gr.Dropdown(
choices=YEARS,
value=[YEARS[0]],
allow_custom_value=True
)
start_month = gr.Dropdown(
choices=MONTHS,
value=[MONTHS[0]],
allow_custom_value=True
)
with gr.Column():
end_year = gr.Dropdown(
choices=YEARS,
value=[YEARS[-1]],
allow_custom_value=True
)
end_month = gr.Dropdown(
choices=MONTHS,
value=[MONTHS[-1]],
allow_custom_value=True
)
# Multiodality Select
with gr.Row():
multimodal_checkbox = gr.CheckboxGroup(
choices=[tc.SINGLE_IMG, tc.MULT_IMG, tc.AUDIO, tc.VIDEO],
value=[],
label="Additional Modalities 📷🎧🎬",
)
# Open/Commercial Selection
with gr.Row():
open_weight_checkbox = gr.CheckboxGroup(
choices=[tc.OPEN, tc.COMM],
value=[tc.OPEN, tc.COMM],
label="Model Type 🔓 💼",
)
# License selection
with gr.Row():
license_checkbox = gr.CheckboxGroup(
choices=licenses,
value=licenses,
label="License 🛡️",
)
#############################################################
# Second Column
#############################################################
with gr.Column():
####### LOG SLIDER 1 ###########
with gr.Row():
parameter_slider = RangeSlider(
minimum=0,
maximum=max_parameter,
label=f"Parameters 🔍 {int(min_parameters)}B - {int(max_parameter)}B+",
elem_id="double-slider-1",
step=parameter_step
)
########### LOG SLIDER 2 ################
with gr.Row():
context_slider = RangeSlider(
minimum=0,
maximum=max_context,
label="Context (k) 📏",
elem_id="double-slider-2",
step=context_step
)
############# PRICE SLIDER 1 ###############
with gr.Row():
input_pricing_slider = RangeSlider(
minimum=0,
maximum=max_input_price,
value=(0, max_input_price),
label="💲/1M input tokens",
elem_id="double-slider-3"
)
############### PRICE SLIDER 2 ###############
with gr.Row():
output_pricing_slider = RangeSlider(
minimum=0,
maximum=max_output_price,
value=(0, max_output_price),
label="💲/1M output tokens",
elem_id="double-slider-4"
)
with gr.Row():
"""
Main Leaderboard Row
"""
leaderboard_table = gr.Dataframe(
value=short_leaderboard,
elem_id="text-leaderboard-table",
interactive=False,
visible=True,
datatype=['html', 'number', 'number', 'date', 'number', 'number', 'number', 'number', 'html']
)
dummy_leaderboard_table = gr.Dataframe(
value=text_leaderboard,
elem_id="dummy-leaderboard-table",
interactive=False,
visible=False
)
lang_dropdown.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
parameter_slider.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
input_pricing_slider.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
output_pricing_slider.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
multimodal_checkbox.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
open_weight_checkbox.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
context_slider.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
start_year.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
start_month.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
end_year.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
end_month.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
license_checkbox.change(
filter,
[dummy_leaderboard_table, lang_dropdown, parameter_slider,
input_pricing_slider, output_pricing_slider, multimodal_checkbox,
context_slider, open_weight_checkbox, start_year, start_month, end_year, end_month, license_checkbox],
[leaderboard_table],
queue=True
)
llm_calc_app.load()
llm_calc_app.queue()
llm_calc_app.launch()
"""
model_name, input_price, output_price,
multimodality_image,multimodality_multiple_image,multimodality_audio,multimodality_video,
source,licence_name,licence_url,languages,release_date,
parameters_estimated,parameters_actual,
open_weight,context,
additional_prices_context_caching,
additional_prices_context_storage,
additional_prices_image_input,additional_prices_image_output,additional_prices_video_input,additional_prices_video_output,additional_prices_audio_input,additional_prices_audio_output,clemscore_v1.6.5_multimodal,clemscore_v1.6.5_ascii,clemscore_v1.6,latency_v1.6,latency_v1.6.5_multimodal,latency_v1.6.5_ascii,
average_clemscore,average_latency,parameters
Final list
model_name, input_price, output_price,
multimodality_image,multimodality_multiple_image,multimodality_audio,multimodality_video,
source,licence_name,licence_url,languages,release_date, open_weight,context, average_clemscore,average_latency,parameters
Filter
multimodality_image,multimodality_multiple_image,multimodality_audio,multimodality_video,
licence_name+licence_url, languages, release_date, open_weight
RR
model_name, input_price, output_price,
source, release_date
"""
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