Update app.py

app.py

@@ -3,6 +3,7 @@ import subprocess
 import sys
 import os
 import threading
+import time
 
 class Logger:
     def __init__(self, filename):
@@ -24,22 +25,21 @@ class Logger:
 log_file = "bigcodebench_output.log"
 sys.stdout = Logger(log_file)
 
+default_command = "bigcodebench.evaluate"
+is_running = False
+
 def generate_command(
     jsonl_file, split, subset, save_pass_rate, parallel,
     min_time_limit, max_as_limit, max_data_limit, max_stack_limit,
     check_gt_only, no_gt
 ):
-    if jsonl_file is None:
-        return "Please upload a JSONL file"
-
-    samples = os.path.basename(jsonl_file.name)
+    command = [default_command]
     
-    command = [
-        "bigcodebench.evaluate",
-        "--split", split,
-        "--subset", subset,
-        "--samples", samples
-    ]
+    if jsonl_file is not None:
+        samples = os.path.basename(jsonl_file.name)
+        command.extend(["--samples", samples])
+    
+    command.extend(["--split", split, "--subset", subset])
     
     if save_pass_rate:
         command.append("--save_pass_rate")
@@ -63,6 +63,8 @@ def generate_command(
     return " ".join(command)
 
 def run_bigcodebench(command):
+    global is_running
+    is_running = True
     print(f"Executing command: {command}")
     
     process = subprocess.Popen(command.split(), stdout=subprocess.PIPE, stderr=subprocess.STDOUT, universal_newlines=True)
@@ -74,57 +76,62 @@ def run_bigcodebench(command):
     
     if process.returncode != 0:
         print(f"Error: Command exited with status {process.returncode}")
+    
+    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/*"
+    subprocess.run(cleanup_command, shell=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
+    
+    is_running = False
 
 def read_logs():
     with open(log_file, "r") as f:
         return f.read()
 
-def run():
-    with gr.Blocks() as demo:
-        gr.Markdown("# BigCodeBench Evaluation App")
-        
-        with gr.Row():
-            jsonl_file = gr.File(label="Upload JSONL file", file_types=[".jsonl"])
-            split = gr.Dropdown(choices=["complete", "instruct"], label="Split", value="complete")
-            subset = gr.Dropdown(choices=["full", "hard"], label="Subset", value="full")
-        
-        with gr.Row():
-            save_pass_rate = gr.Checkbox(label="Save Pass Rate")
-            parallel = gr.Number(label="Parallel (optional)", precision=0)
-            min_time_limit = gr.Number(label="Min Time Limit", value=1, precision=1)
-            max_as_limit = gr.Number(label="Max AS Limit", value=128*1024, precision=0)
-        
-        with gr.Row():
-            max_data_limit = gr.Number(label="Max Data Limit", value=4*1024, precision=0)
-            max_stack_limit = gr.Number(label="Max Stack Limit", value=5, precision=0)
-            check_gt_only = gr.Checkbox(label="Check GT Only")
-            no_gt = gr.Checkbox(label="No GT")
-        
-        command_output = gr.Textbox(label="Command", lines=2)
-        submit_btn = gr.Button("Run Evaluation")
-        log_output = gr.Textbox(label="Execution Logs", lines=10)
-        
-        def update_command(*args):
-            return generate_command(*args)
-        
-        input_components = [
-            jsonl_file, split, subset, save_pass_rate, parallel,
-            min_time_limit, max_as_limit, max_data_limit, max_stack_limit,
-            check_gt_only, no_gt
-        ]
-        
-        for component in input_components:
-            component.change(update_command, inputs=input_components, outputs=command_output)
-        
-        def on_submit(command):
-            threading.Thread(target=run_bigcodebench, args=(command,), daemon=True).start()
-            return "Evaluation started. Please wait for the logs to update..."
-        
-        submit_btn.click(on_submit, inputs=[command_output], outputs=[log_output])
-        
-        demo.load(read_logs, None, log_output, every=1)
-
-    demo.queue().launch()
+with gr.Blocks() as demo:
+    gr.Markdown("# BigCodeBench Evaluation App")
+    
+    with gr.Row():
+        jsonl_file = gr.File(label="Upload JSONL file", file_types=[".jsonl"])
+        split = gr.Dropdown(choices=["complete", "instruct"], label="Split", value="complete")
+        subset = gr.Dropdown(choices=["full", "hard"], label="Subset", value="full")
+    
+    with gr.Row():
+        save_pass_rate = gr.Checkbox(label="Save Pass Rate")
+        parallel = gr.Number(label="Parallel (optional)", precision=0)
+        min_time_limit = gr.Number(label="Min Time Limit", value=1, precision=1)
+        max_as_limit = gr.Number(label="Max AS Limit", value=128*1024, precision=0)
     
+    with gr.Row():
+        max_data_limit = gr.Number(label="Max Data Limit", value=4*1024, precision=0)
+        max_stack_limit = gr.Number(label="Max Stack Limit", value=5, precision=0)
+        check_gt_only = gr.Checkbox(label="Check GT Only")
+        no_gt = gr.Checkbox(label="No GT")
+    
+    command_output = gr.Textbox(label="Command", lines=2, value=default_command, interactive=False)
+    submit_btn = gr.Button("Run Evaluation")
+    log_output = gr.Textbox(label="Execution Logs", lines=10)
+    
+    def update_command(*args):
+        return generate_command(*args)
+    
+    input_components = [
+        jsonl_file, split, subset, save_pass_rate, parallel,
+        min_time_limit, max_as_limit, max_data_limit, max_stack_limit,
+        check_gt_only, no_gt
+    ]
+    
+    for component in input_components:
+        component.change(update_command, inputs=input_components, outputs=command_output)
+    
+    def on_submit(command):
+        global is_running
+        if is_running:
+            return "A command is already running. Please wait for it to finish."
+        threading.Thread(target=run_bigcodebench, args=(command,), daemon=True).start()
+        return "Evaluation started. Please wait for the logs to update..."
+    
+    submit_btn.click(on_submit, inputs=[command_output], outputs=[log_output])
+    
+    demo.load(read_logs, None, log_output, every=1)
+
 if __name__ == "__main__":
-    run()
+    demo.queue().launch()