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Runtime error

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carbonnnnn commited on
Commit
7ce5480
·
1 Parent(s): ee6a180

fix date

Browse files
Files changed (6) hide show
  1. app.py +11 -14
  2. requirements.txt +1 -1
  3. src/__pycache__/filter_utils.cpython-313.pyc +0 -0
  4. src/combined_data.json +0 -611
  5. src/filter_utils.py +4 -0
  6. src/{process_data_v2.py → process_data.py} +3 -1
app.py CHANGED
@@ -95,20 +95,17 @@ with llm_calc_app:
95
  )
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  with gr.Row():
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-
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- with gr.Column():
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- start_date = gr.DateTime(
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- value=min_date,
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- type="string",
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- label="Release Date Range 📅 - Start Date"
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- )
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-
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- with gr.Column():
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- end_date = gr.DateTime(
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- value=max_date,
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- type="string",
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- label="End Date"
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- )
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113
  # Multiodality Select
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  with gr.Row():
 
95
  )
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  with gr.Row():
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+ start_date = gr.DateTime(
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+ value=min_date,
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+ type="string",
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+ label="Release Date Range 📅 - Start Date"
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+ )
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+
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+ end_date = gr.DateTime(
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+ value=max_date,
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+ type="string",
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+ label="End Date"
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+ )
 
 
 
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  # Multiodality Select
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  with gr.Row():
requirements.txt CHANGED
@@ -1,5 +1,5 @@
1
  beautifulsoup4==4.12.3
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  pandas==2.2.3
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  gradio_rangeslider==0.0.7
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- gradio==5.9.0
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  langcodes==3.5.0
 
1
  beautifulsoup4==4.12.3
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  pandas==2.2.3
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  gradio_rangeslider==0.0.7
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+ gradio==5.12.0
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  langcodes==3.5.0
src/__pycache__/filter_utils.cpython-313.pyc CHANGED
Binary files a/src/__pycache__/filter_utils.cpython-313.pyc and b/src/__pycache__/filter_utils.cpython-313.pyc differ
 
src/combined_data.json DELETED
@@ -1,611 +0,0 @@
1
- [
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- {
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- "model_name": "Meta-Llama-3-70B-Instruct-hf",
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- "pricing": {
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- "input_price": "0$",
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- "output_price": "0$",
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- "source": "https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct"
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- },
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- "multimodality": {
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- "image": false,
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- "multiple_image": false,
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- "audio": false,
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- "video": false
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- },
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- "license": {
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- "name": "Meta Llama 3 License",
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- "url": "https://www.llama.com/llama3/license/"
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- },
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- "languages": ["en"],
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- "release_date": "2024-04-18",
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- "parameters":{
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- "estimated": false,
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- "size": "70B"
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- },
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- "open_weight": true,
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- "context_size": "8k"
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- },
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- {
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- "model_name": "Meta-Llama-3-8B-Instruct-hf",
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- "pricing": {
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- "input_price": "0$",
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- "source": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct"
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- "multimodality": {
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- "image": false,
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- "multiple_image": false,
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- "audio": false,
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- "video": false
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- },
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- "license": {
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- "name": "Meta Llama 3 License",
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- "url": "https://www.llama.com/llama3/license/"
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- },
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- "languages": ["en"],
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- "release_date": "2024-04-18",
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- "parameters":{
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- "estimated": false,
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- "size": "8B"
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- "open_weight": true,
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- "context_size": "8k"
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- },
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- {
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- "model_name": "Meta-Llama-3.1-405B-Instruct-Turbo",
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- "pricing": {
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- "input_price": "0$",
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- "output_price": "0$",
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- "source": "https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct"
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- },
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- "multimodality": {
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- "image": false,
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- "multiple_image": false,
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- "audio": false,
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- "video": false
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- },
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- "license": {
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- "name": "Llama 3.1 Community License",
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- "url": "https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE"
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- },
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- "languages": ["en", "de", "fr", "it", "hi", "pt", "es", "th"],
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- "release_date": "2024-07-23",
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- "parameters":{
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- "open_weight": true,
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- "context_size": "128k"
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- },
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- {
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- "model_name": "Meta-Llama-3.1-70B-Instruct",
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- "pricing": {
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- "input_price": "0$",
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- "output_price": "0$",
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- "source": "https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct"
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- },
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- "license": {
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- "name": "Llama 3.1 Community License",
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- "url": "https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE"
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- },
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- "languages": ["en", "de", "fr", "it", "hi", "pt", "es", "th"],
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- "release_date": "2024-07-23",
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- "open_weight": true,
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- },
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- {
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- "model_name": "Meta-Llama-3.1-8B-Instruct",
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- "input_price": "0$",
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- "source": "https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct"
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- "multimodality": {
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- },
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- "name": "Llama 3.1 Community License",
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- "url": "https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE"
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- },
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- "languages": ["en", "de", "fr", "it", "hi", "pt", "es", "th"],
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- "release_date": "2024-07-23",
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- "size": "8B"
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- {
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- },
514
- "languages": ["en", "es", "fr", "de", "zh", "ja", "ko", "it", "pt", "nl", "ru", "ar", "hi", "tr", "vi", "pl", "th", "sv", "da", "no", "fi", "hu", "cs", "sk", "ro", "bg", "uk", "lt", "lv", "et", "sl", "ms", "id", "tl", "sw", "am"],
515
- "release_date": "2024-08-06",
516
- "parameters": {
517
- "estimated": true,
518
- "size": "200B"
519
- },
520
- "open_weight": false,
521
- "context_size": "128k"
522
- },
523
- {
524
- "model_name": "gpt-4o-2024-05-13",
525
- "pricing":{
526
- "input_price": "$2.50",
527
- "output_price": "$10.00",
528
- "source": "https://openai.com/api/pricing/"
529
- },
530
- "multimodality": {
531
- "image": true,
532
- "multiple_image": true,
533
- "audio": false,
534
- "video": false
535
- },
536
- "license": {
537
- "name": "Commercial License",
538
- "url": "https://openai.com/policies/terms-of-use"
539
- },
540
- "languages": ["en", "es", "fr", "de", "zh", "ja", "ko", "it", "pt", "nl", "ru", "ar", "hi", "tr", "vi", "pl", "th", "sv", "da", "no", "fi", "hu", "cs", "sk", "ro", "bg", "uk", "lt", "lv", "et", "sl", "ms", "id", "tl", "sw", "am"],
541
- "release_date": "2024-05-13",
542
- "parameters": {
543
- "estimated": true,
544
- "size": "200B"
545
- },
546
- "open_weight": false,
547
- "context_size": "128k"
548
- },
549
- {
550
- "model_name": "gpt-4-1106-vision-preview",
551
- "pricing": {
552
- "input_price": "$10.00",
553
- "output_price": "$30.00",
554
- "source": "https://openai.com/api/pricing/"
555
- },
556
- "multimodality": {
557
- "image": true,
558
- "multiple_image": true,
559
- "audio": false,
560
- "video": false
561
- },
562
- "license": {
563
- "name": "Commercial License",
564
- "url": "https://openai.com/policies/terms-of-use"
565
- },
566
- "languages": ["en", "es", "fr", "de", "zh", "ja", "ko", "it", "pt", "nl", "ru", "ar", "hi", "tr", "vi", "pl", "th", "sv", "da", "no", "fi", "hu", "cs", "sk", "ro", "bg", "uk", "lt", "lv", "et", "sl", "ms", "id", "tl", "sw", "am"],
567
- "release_date": "2023-11-06",
568
- "parameters": {
569
- "estimated": true,
570
- "size": "1760B"
571
- },
572
- "open_weight": false,
573
- "context_size": "128k"
574
- },
575
- {
576
- "model_name": "gemini-1.5-flash-latest",
577
- "pricing":{
578
- "input_price": "$0.075",
579
- "output_price": "$0.30",
580
- "additional_prices": {
581
- "context_caching": "$0.01875",
582
- "context_storage": "$1.00",
583
- "image_input": "$0.02",
584
- "image_output": "$0.04",
585
- "video_input": "$0.02",
586
- "video_output": "$0.04",
587
- "audio_input": "$0.02",
588
- "audio_output": "$0.04"
589
- },
590
- "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing"
591
- },
592
- "multimodality": {
593
- "image": true,
594
- "multiple_image": true,
595
- "audio": true,
596
- "video": true
597
- },
598
- "license": {
599
- "name": "Commercial License",
600
- "url": ""
601
- },
602
- "languages": ["lt", "no", "pl", "pt", "ro", "ru", "sr", "sk", "sl", "es", "sw", "sv", "th", "tr", "uk", "vi", "zh", "hr", "cs", "da", "nl", "en", "et", "fi", "fr", "de", "el", "he", "hi", "hu", "id", "it", "ja", "ko", "lv", "ar", "bn", "bg"],
603
- "release_date": "2024-05-24",
604
- "parameters": {
605
- "estimated": true,
606
- "size": "1760B"
607
- },
608
- "open_weight": false,
609
- "context_size": "128k"
610
- }
611
- ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
src/filter_utils.py CHANGED
@@ -81,6 +81,9 @@ def filter(df, language_list, parameters, input_price, output_price, multimodal,
81
  df = df[df['Open Weight'] == True]
82
  elif "Commercial" in open_weight and "Open" not in open_weight:
83
  df = df[df['Open Weight'] == False]
 
 
 
84
 
85
  if not df.empty: # Check if df is non-empty
86
  df = df[df['License Name'].apply(lambda x: any(lic in x for lic in license))]
@@ -98,6 +101,7 @@ def filter(df, language_list, parameters, input_price, output_price, multimodal,
98
  df = df[(df['Temp Date'] >= start) & (df['Temp Date'] <= end)]
99
 
100
  df = filter_cols(df)
 
101
 
102
  print(df)
103
 
 
81
  df = df[df['Open Weight'] == True]
82
  elif "Commercial" in open_weight and "Open" not in open_weight:
83
  df = df[df['Open Weight'] == False]
84
+ elif "Open" not in open_weight and "Commercial" not in open_weight:
85
+ # Return empty DataFrame with same columns
86
+ df = pd.DataFrame(columns=df.columns)
87
 
88
  if not df.empty: # Check if df is non-empty
89
  df = df[df['License Name'].apply(lambda x: any(lic in x for lic in license))]
 
101
  df = df[(df['Temp Date'] >= start) & (df['Temp Date'] <= end)]
102
 
103
  df = filter_cols(df)
104
+ df = df.sort_values(by='Clemscore', ascending=False)
105
 
106
  print(df)
107
 
src/{process_data_v2.py → process_data.py} RENAMED
@@ -144,8 +144,10 @@ def merge_data():
144
 
145
  merged_df['Languages'] = merged_df['Languages'].apply(map_languages)
146
 
147
- # merged_df['Context Size (k)'] = merged_df['Context Size (k)'].replace({'k': ''}, regex=True).astype(int)
 
148
 
 
149
  merged_df.drop(columns=['model_name'], inplace=True)
150
 
151
  return merged_df
 
144
 
145
  merged_df['Languages'] = merged_df['Languages'].apply(map_languages)
146
 
147
+ # Sort by Clemscore in descending order
148
+ merged_df = merged_df.sort_values(by='Clemscore', ascending=False)
149
 
150
+ # Drop model_name column
151
  merged_df.drop(columns=['model_name'], inplace=True)
152
 
153
  return merged_df