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Update app.py
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app.py
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@@ -282,7 +282,7 @@ def build_leaderboard_tab(leaderboard_table_file, text_recog_file, Inaccessible_
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md_tail = f"""
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# Notice
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Sometimes, API calls to closed-source models may not succeed. In such cases, we will repeat the calls for unsuccessful samples until it becomes impossible to obtain a successful response. It is important to note that due to rigorous security reviews by OpenAI, GPT4V refuses to provide results for the 84 samples in OCRBench.
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If you would like to include your model in the OCRBench leaderboard, please follow the evaluation instructions provided on [GitHub](https://github.com/Yuliang-Liu/MultimodalOCR), [VLMEvalKit](https://github.com/open-compass/VLMEvalKit) or [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval) and feel free to contact us via email at [email protected]. We will update the leaderboard in time."""
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gr.Markdown(md_tail, elem_id="leaderboard_markdown")
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def build_demo(leaderboard_table_file, recog_table_file, Inaccessible_model_file):
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md_tail = f"""
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# Notice
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Sometimes, API calls to closed-source models may not succeed. In such cases, we will repeat the calls for unsuccessful samples until it becomes impossible to obtain a successful response. It is important to note that due to rigorous security reviews by OpenAI, GPT4V refuses to provide results for the 84 samples in OCRBench.
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If you would like to include your model in the OCRBench leaderboard, please follow the evaluation instructions provided on [GitHub](https://github.com/Yuliang-Liu/MultimodalOCR), [VLMEvalKit](https://github.com/open-compass/VLMEvalKit) or [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval), and send us the result screenshots as well as the output files (predictions) generated by your model. If you have any questions, feel free to contact us via email at [email protected]. We will update the leaderboard in time."""
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gr.Markdown(md_tail, elem_id="leaderboard_markdown")
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def build_demo(leaderboard_table_file, recog_table_file, Inaccessible_model_file):
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