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benediktstroebl
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Commit
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089c3f5
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Parent(s):
0ca771d
added creator section
Browse files- app.py +3 -1
- creators.md +42 -1
- process.py +5 -0
- utils/db.py +0 -1
app.py
CHANGED
@@ -304,6 +304,7 @@ with gr.Blocks(theme=my_theme, css='css.css', title="HAL: Holistic Agent Leaderb
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<a href="https://github.com/benediktstroebl/hal-harness/tree/main/hal/benchmarks" target="_blank">Add Benchmark</a>
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<a href="https://github.com/benediktstroebl/hal-harness/tree/main" target="_blank">GitHub</a>
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<a href="https://github.com/benediktstroebl/hal-harness#about-hal" target="_blank">About</a>
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</div>
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</nav>
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""")
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# gr.Markdown((Path(__file__).parent / "benchmark_submission.md").read_text())
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# gr.HTML("""<h2 class="section-heading" id="reproduction-guide">How can I run evaluations?</h2>""")
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# gr.Markdown("""Coming soon...""")
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gr.HTML("""<h2 class="section-heading" id="
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gr.Markdown((Path(__file__).parent / "creators.md").read_text())
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scheduler.start()
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await demo.launch(favicon_path="hal.png")
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if __name__ == "__main__":
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asyncio.run(main())
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<a href="https://github.com/benediktstroebl/hal-harness/tree/main/hal/benchmarks" target="_blank">Add Benchmark</a>
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<a href="https://github.com/benediktstroebl/hal-harness/tree/main" target="_blank">GitHub</a>
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<a href="https://github.com/benediktstroebl/hal-harness#about-hal" target="_blank">About</a>
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<a href="#creators">Creators</a>
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</div>
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</nav>
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""")
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# gr.Markdown((Path(__file__).parent / "benchmark_submission.md").read_text())
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# gr.HTML("""<h2 class="section-heading" id="reproduction-guide">How can I run evaluations?</h2>""")
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# gr.Markdown("""Coming soon...""")
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gr.HTML("""<h2 class="section-heading" id="creators">Creators behind HAL</h2>""")
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gr.Markdown((Path(__file__).parent / "creators.md").read_text())
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scheduler.start()
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await demo.launch(favicon_path="hal.png")
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if __name__ == "__main__":
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asyncio.run(main())
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creators.md
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#### Core Team
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**[Benedikt Stroebl](https://benediktstroebl.github.io)**, PhD Student, Princeton University
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**[Sayash Kapoor](https://www.cs.princeton.edu/~sayashk/)**, PhD Student, Princeton University
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**[Arvind Narayanan](https://www.cs.princeton.edu/~arvindn/)**, Professor of Computer Science, Princeton University
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#### Contributors
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We're grateful to the network of contributors to HAL:
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- Amit Arora - Amazon
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- Aymeric Roucher - Hugging Face
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- Azalia Mirhoseini - Stanford
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- Bagatur Askaryan - LangChain
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- Hailey Schoelkopf - Anthropic
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- Harsh Trivedi - Stony Brook
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- Iason Gabriel - Google DeepMind
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- Jelena Luketina - UK AISI
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- JJ Allaire - UK AISI
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- Karthik Narasimhan - Princeton
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- Kwamina Orleans-Pobee - DSIT UK
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- Laura Weidinger - Google DeepMind
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- Madhur Prashant - Amazon
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- Maximillian Kaufmann - UK AISI
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- Morgan McGuire - Weights & Biases
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- Nitya Nadgir - Princeton
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- Parth Asawa - UC Berkeley
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- Rishi Bommasani - Stanford
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- Shreya Shankar - UC Berkeley
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- Shayne Longpre - MIT
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- Thomas Capelle - Weights & Biases
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- William Isaac - Google DeepMind
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- Yifan Mai - Stanford
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- Zachary Siegel - Princeton
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Want to contribute to HAL? Check out our [contribution guidelines](https://github.com/benediktstroebl/hal-harness/blob/main/CONTRIBUTING.md) or visit our [GitHub repository](https://github.com/benediktstroebl/hal-harness).
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---
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*Note: HAL is an open-source project and we welcome contributions from the community. If you've contributed to HAL and would like to be added to this list, please reach out.*
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process.py
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from utils.processing import check_and_process_uploads
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import asyncio
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if __name__ == "__main__":
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asyncio.run(check_and_process_uploads())
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utils/db.py
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@@ -540,7 +540,6 @@ class TracePreprocessor:
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if 'Total Cost' in results_df.columns:
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results_df = results_df.drop('Total Cost', axis=1)
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print(results_df['Agent Name'])
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# create temp column that is whatever is in agent_name [x] because of url we added to agent_name
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results_df['agent_name_temp'] = results_df['Agent Name'].apply(lambda x: x.split('[')[1].split(']')[0] if '[' in x else x)
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if 'Total Cost' in results_df.columns:
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results_df = results_df.drop('Total Cost', axis=1)
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# create temp column that is whatever is in agent_name [x] because of url we added to agent_name
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results_df['agent_name_temp'] = results_df['Agent Name'].apply(lambda x: x.split('[')[1].split(']')[0] if '[' in x else x)
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