Update app.py

app.py

@@ -1,83 +1,11 @@
 import pandas as pd
 import gradio as gr
 import os
-from gradio_rangeslider import RangeSlider
 
-from src.filter_utils import filter, filter_cols
-
-# Main Leaderboard containing everything
-text_leaderboard = pd.read_csv(os.path.join('assets', 'merged_data.csv'))
-text_leaderboard = text_leaderboard.sort_values(by='Clemscore', ascending=False)  
-
-open_weight_df = text_leaderboard[text_leaderboard['Open Weight'] == True]
-if not open_weight_df.empty:  # Check if filtered df is non-empty
-    max_parameter_size = open_weight_df['Parameters (B)'].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]['Languages'].split(',')
-    lang_splits = [s.strip() for s in lang_splits]
-    langs += lang_splits
-    license_name = text_leaderboard.iloc[i]['License Name']
-
-    licenses.append(license_name)
-    ip_prices.append(text_leaderboard.iloc[i]['Input $/1M tokens'])
-    op_prices.append(text_leaderboard.iloc[i]['Output $/1M tokens'])
-    latencies.append(text_leaderboard.iloc[i]['Latency (s)'])
-    parameters.append(text_leaderboard.iloc[i]['Parameters (B)'])
-    contexts.append(text_leaderboard.iloc[i]['Context Size (k)'])
-    dates.append(text_leaderboard.iloc[i]['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 = max(latencies)
-
-min_parameters = 0 if pd.isna(min(parameters)) else min(parameters)
-max_parameter = max_parameter_size
-parameter_step = 1
-print(f"MIN {min_parameters}, MAX {max_parameter}")
-
-min_context = min(contexts)
-max_context = max(contexts)
-context_step = 8
-
-min_date = min(dates)
-max_date = max(dates)
-
-TITLE = """<h1 align="center" id="space-title"> LLM Calculator ⚖️⚡ 📏💰</h1>"""
-CSS = """
-#double-slider-1 {height: 100px}
-#double-slider-2 {height: 100px}
-#double-slider-3 {height: 100px}
-#double-slider-4 {height: 100px}
-"""
-
-llm_calc_app = gr.Blocks(css=CSS)
+llm_calc_app = gr.Blocks()
 with llm_calc_app:
 
-    gr.HTML(TITLE)
-
     ##################################################
-
     with gr.Row():
 
         #####################################
@@ -86,14 +14,6 @@ with llm_calc_app:
         ## Language Select
         with gr.Column():
 
-            with gr.Row():
-                lang_dropdown = gr.Dropdown(
-                    choices=langs,
-                    value=[],
-                    multiselect=True,
-                    label="Select Languages 🗣️"
-                )
-
             with gr.Row():
                 start_date = gr.DateTime(
                 )
@@ -106,37 +26,3 @@ with llm_calc_app:
 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
-
-"""
-
-