Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Terry Zhuo
commited on
Commit
·
1a1b9bb
1
Parent(s):
cfd6a6e
update
Browse files- README.md +2 -2
- __pycache__/app.cpython-310.pyc +0 -0
- app.py +10 -23
README.md
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@@ -1,6 +1,6 @@
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---
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title:
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emoji:
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colorFrom: indigo
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colorTo: indigo
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sdk: docker
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---
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title: BigCodeBench Evaluator
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emoji: 💻
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colorFrom: indigo
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colorTo: indigo
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sdk: docker
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__pycache__/app.cpython-310.pyc
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Binary file (4.75 kB). View file
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app.py
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@@ -8,23 +8,7 @@ import uuid
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import glob
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import shutil
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from pathlib import Path
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class Logger:
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def __init__(self, filename):
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self.terminal = sys.stdout
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self.log = open(filename, "w")
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def write(self, message):
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self.terminal.write(message)
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self.log.write(message)
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self.log.flush()
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def flush(self):
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self.terminal.flush()
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self.log.flush()
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def isatty(self):
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return False
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default_command = "bigcodebench.evaluate"
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is_running = False
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for line in process.stdout:
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yield line
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if process.returncode != 0:
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yield f"Error: Command exited with status {process.returncode}\n"
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def stream_logs(command, jsonl_file=None):
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global is_running
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if jsonl_file is not None:
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local_filename = os.path.basename(jsonl_file.name)
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if is_running:
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yield "A command is already running. Please wait for it to finish.\n"
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return
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cleanup_previous_files(local_filename)
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yield "Cleaned up previous files.\n"
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download_btn = gr.DownloadButton(label="Download Result", visible=False)
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log_output = gr.Textbox(label="Execution Logs", lines=20)
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# Hidden component to store the result file path
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# result_file_path = gr.State("")
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def update_command(*args):
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return generate_command(*args)
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print(f"Result file: {result_file}")
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return (gr.update(label="Evaluation completed. Result file found."),
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gr.Button(visible=False),
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gr.DownloadButton("Download Result", value=result_file, visible=True))
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else:
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return (gr.update(label="Evaluation completed. No result file found."),
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gr.Button("Run Evaluation", visible=True),
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outputs=[log_output, submit_btn, download_btn])
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if __name__ == "__main__":
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demo.queue(max_size=300).launch(server_name="0.0.0.0", server_port=7860)
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import glob
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import shutil
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from pathlib import Path
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from apscheduler.schedulers.background import BackgroundScheduler
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default_command = "bigcodebench.evaluate"
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is_running = False
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for line in process.stdout:
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yield line
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process.wait()
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if process.returncode != 0:
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yield f"Error: Command exited with status {process.returncode}\n"
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def stream_logs(command, jsonl_file=None):
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global is_running
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local_filename = None
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if jsonl_file is not None:
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local_filename = os.path.basename(jsonl_file.name)
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if is_running:
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yield "A command is already running. Please wait for it to finish.\n"
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return
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cleanup_previous_files(local_filename)
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yield "Cleaned up previous files.\n"
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download_btn = gr.DownloadButton(label="Download Result", visible=False)
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log_output = gr.Textbox(label="Execution Logs", lines=20)
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def update_command(*args):
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return generate_command(*args)
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print(f"Result file: {result_file}")
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return (gr.update(label="Evaluation completed. Result file found."),
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gr.Button(visible=False),
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gr.DownloadButton(label="Download Result", value=result_file, visible=True))
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else:
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return (gr.update(label="Evaluation completed. No result file found."),
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gr.Button("Run Evaluation", visible=True),
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outputs=[log_output, submit_btn, download_btn])
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if __name__ == "__main__":
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demo.queue(max_size=300).launch(server_name="0.0.0.0", server_port=7860)
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scheduler = BackgroundScheduler()
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scheduler.add_job(restart_space, "interval", hours=3) # restarted every 3h as backup in case automatic updates are not working
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scheduler.start()
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