Update app.py
Browse files
app.py
CHANGED
@@ -4,6 +4,7 @@ import sys
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import os
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import threading
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import time
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class Logger:
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def __init__(self, filename):
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@@ -22,9 +23,6 @@ class Logger:
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def isatty(self):
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return False
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log_file = "bigcodebench_output.log"
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sys.stdout = Logger(log_file)
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default_command = "bigcodebench.evaluate"
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is_running = False
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@@ -62,29 +60,46 @@ def generate_command(
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return " ".join(command)
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def run_bigcodebench(command):
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global is_running
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is_running = True
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process = subprocess.Popen(command.split(), stdout=subprocess.PIPE, stderr=subprocess.STDOUT, universal_newlines=True)
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for line in process.stdout:
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process.wait()
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if process.returncode != 0:
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cleanup_command = "pids=$(ps -u $(id -u) -o pid,comm | grep 'bigcodebench' | awk '{print $1}'); if [ -n \"$pids\" ]; then echo $pids | xargs -r kill; fi; rm -rf /tmp/*"
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subprocess.run(cleanup_command, shell=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
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is_running = False
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def read_logs():
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with open(log_file, "r") as f:
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return f.read()
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with gr.Blocks() as demo:
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gr.Markdown("# BigCodeBench Evaluator")
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@@ -92,24 +107,26 @@ with gr.Blocks() as demo:
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with gr.Row():
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jsonl_file = gr.File(label="Upload JSONL file", file_types=[".jsonl"])
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split = gr.Dropdown(choices=["complete", "instruct"], label="Split", value="complete")
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subset = gr.Dropdown(choices=["full", "hard"], label="Subset", value="
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with gr.Row():
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save_pass_rate = gr.Checkbox(label="Save Pass Rate")
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parallel = gr.Number(label="Parallel (optional)", precision=0)
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min_time_limit = gr.Number(label="Min Time Limit", value=1, precision=1)
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max_as_limit = gr.Number(label="Max AS Limit", value=
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with gr.Row():
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max_data_limit = gr.Number(label="Max Data Limit", value=
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max_stack_limit = gr.Number(label="Max Stack Limit", value=5, precision=0)
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check_gt_only = gr.Checkbox(label="Check GT Only")
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no_gt = gr.Checkbox(label="No GT")
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command_output = gr.Textbox(label="Command",
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submit_btn = gr.Button("Run Evaluation")
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log_output = gr.Textbox(label="Execution Logs", lines=10)
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def update_command(*args):
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return generate_command(*args)
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@@ -125,13 +142,20 @@ with gr.Blocks() as demo:
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def on_submit(command):
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global is_running
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if is_running:
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demo.load(
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if __name__ == "__main__":
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demo.queue(max_size=300).launch(
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import os
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import threading
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import time
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import uuid
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class Logger:
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def __init__(self, filename):
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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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return " ".join(command)
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def run_bigcodebench(command):
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global is_running
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is_running = True
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yield f"Executing command: {command}\n"
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process = subprocess.Popen(command.split(), stdout=subprocess.PIPE, stderr=subprocess.STDOUT, universal_newlines=True)
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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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cleanup_command = "pids=$(ps -u $(id -u) -o pid,comm | grep 'bigcodebench' | awk '{print $1}'); if [ -n \"$pids\" ]; then echo $pids | xargs -r kill; fi; rm -rf /tmp/*"
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subprocess.run(cleanup_command, shell=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
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is_running = False
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yield "Evaluation completed.\n"
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def stream_logs(command):
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global is_running
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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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log_content = []
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for log_line in run_bigcodebench(command):
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log_content.append(log_line)
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yield "".join(log_content)
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def read_logs(log_file):
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if os.path.exists(log_file):
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with open(log_file, "r") as f:
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return f.read()
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return ""
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with gr.Blocks() as demo:
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gr.Markdown("# BigCodeBench Evaluator")
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with gr.Row():
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jsonl_file = gr.File(label="Upload JSONL file", file_types=[".jsonl"])
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split = gr.Dropdown(choices=["complete", "instruct"], label="Split", value="complete")
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subset = gr.Dropdown(choices=["full", "hard"], label="Subset", value="hard")
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with gr.Row():
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save_pass_rate = gr.Checkbox(label="Save Pass Rate")
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parallel = gr.Number(label="Parallel (optional)", precision=0)
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min_time_limit = gr.Number(label="Min Time Limit", value=1, precision=1)
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max_as_limit = gr.Number(label="Max AS Limit", value=200*1024, precision=0)
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with gr.Row():
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max_data_limit = gr.Number(label="Max Data Limit", value=10*1024, precision=0)
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max_stack_limit = gr.Number(label="Max Stack Limit", value=5, precision=0)
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check_gt_only = gr.Checkbox(label="Check GT Only")
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no_gt = gr.Checkbox(label="No GT")
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command_output = gr.Textbox(label="Command", value=default_command, interactive=False)
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submit_btn = gr.Button("Run Evaluation")
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log_output = gr.Textbox(label="Execution Logs", lines=10)
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# Hidden component to store the unique log file path
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session_log_file = gr.State("")
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def update_command(*args):
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return generate_command(*args)
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def on_submit(command):
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global is_running
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if is_running:
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yield "A command is already running. Please wait for it to finish."
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return
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log_accumulator = []
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for log_line in run_bigcodebench(command):
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log_accumulator.append(log_line)
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yield "\n".join(log_accumulator)
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submit_btn.click(stream_logs, inputs=[command_output], outputs=[log_output])
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# def update_logs(session_log_file):
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# return read_logs(session_log_file)
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# demo.load(update_logs, inputs=[session_log_file], outputs=[log_output], every=1)
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if __name__ == "__main__":
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demo.queue(max_size=300).launch()
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