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from huggingface_hub import * |
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import os |
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import json |
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import gradio as gr |
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fs = HfFileSystem() |
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api = HfApi() |
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def remove_from(text, from_model, to_model): |
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text = text.replace(from_model, to_model) |
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return text |
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def return_operation_requests(from_model, to_model): |
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ls = [i['name'] for i in fs.ls(path=f'datasets/open-llm-leaderboard/requests/{from_model.split("/")[0]}') if from_model in i['name']] |
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liste=[] |
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for i in range(len(ls)): |
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path_for = ls[i] |
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will_write = json.loads(fs.read_text(path_for)) |
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will_write['model'] = to_model |
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will_write = json.dumps(will_write) |
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liste.extend([CommitOperationAdd(path_in_repo="/".join(remove_from(path_for, from_model, to_model).split("/")[3:]), path_or_fileobj=will_write.encode()), |
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CommitOperationDelete(path_in_repo="/".join(path_for.split("/")[3:]))]) |
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return liste |
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def return_operation_results(from_model, to_model): |
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ls = [i['name'] for i in fs.ls(path=f'datasets/open-llm-leaderboard/results/{from_model}') if from_model in i['name']] |
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liste=[] |
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for i in range(len(ls)): |
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path_for = ls[i] |
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will_write = json.loads(fs.read_text(path_for)) |
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will_write['config_general']['model_name'] = to_model |
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will_write = json.dumps(will_write, indent=2) |
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liste.extend([CommitOperationAdd(path_in_repo="/".join(remove_from(path_for, from_model, to_model).split("/")[3:]), path_or_fileobj=will_write.encode()), |
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CommitOperationDelete(path_in_repo="/".join(path_for.split("/")[3:]))]) |
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return liste |
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def model_name_to_details(model_name): |
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return f"datasets/open-llm-leaderboard/details_{model_name.split('/')[0]}__{model_name.split('/')[1]}" |
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def return_operation_details(from_model, to_model): |
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ls = [i['name'] for i in fs.ls(path=model_name_to_details(from_model)) if ("results" in i['name'] and ".json" in i['name'])] |
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liste=[] |
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for i in range(len(ls)): |
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path_for = ls[i] |
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will_write = json.loads(fs.read_text(path_for)) |
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will_write['config_general']['model_name'] = to_model |
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will_write = json.dumps(will_write, indent=2) |
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readme_file = fs.read_text("/".join(path_for.split("/")[:3])+"/README.md").replace(from_model, to_model) |
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liste.extend([CommitOperationAdd(path_in_repo="/".join(path_for.split("/")[3:]), path_or_fileobj=will_write.encode()), |
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CommitOperationAdd(path_in_repo="README.md", path_or_fileobj=readme_file.encode())]) |
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return liste |
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def commit(liste_requests, liste_results, liste_details, details_path, from_model, to_model): |
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request_commit = (create_commit(repo_id="open-llm-leaderboard/requests", operations=liste_requests, commit_message=f"Renaming Model {from_model} to {to_model}", repo_type="dataset", create_pr=True).__dict__['pr_url']) |
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result_commit = (create_commit(repo_id="open-llm-leaderboard/results", operations=liste_results, commit_message=f"Renaming Model {from_model} to {to_model}", repo_type="dataset", create_pr=True).__dict__['pr_url']) |
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details_commit = (create_commit(repo_id="/".join(details_path.split("/")[1:]), operations=liste_details, commit_message=f"Renaming Model {from_model} to {to_model}", repo_type="dataset", create_pr=True).__dict__['pr_url']) |
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return request_commit, result_commit, details_commit |
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def commit_gradio(from_model, to_model, hf_token): |
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try: |
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login(hf_token) |
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return commit(return_operation_requests(from_model, to_model), return_operation_results(from_model, to_model), return_operation_details(from_model, to_model), model_name_to_details(from_model), from_model, to_model) |
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except Exception as e: |
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return e |
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demo = gr.Interface(fn=commit_gradio, inputs=["text", "text", "text"], outputs="text") |
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demo.launch(debug=True) |