Commit
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6401503
1
Parent(s):
4ad28b6
Use log to replace print
Browse files
app.py
CHANGED
@@ -1,6 +1,6 @@
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import gradio as gr
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-
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import subprocess
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import threading
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@@ -10,6 +10,10 @@ import os
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from giskard.settings import settings
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LOG_FILE = "output.log"
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@@ -45,17 +49,17 @@ def run_ml_worker(url, api_key, hf_token):
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stdout=open(LOG_FILE, "w"), stderr=subprocess.STDOUT
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)
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args = ml_worker.args
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-
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ml_worker = None
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def stop_ml_worker():
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global ml_worker, previous_url
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if ml_worker is not None:
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-
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ml_worker.terminate()
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ml_worker = None
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-
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return "ML worker stopped"
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return "ML worker not started"
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@@ -67,7 +71,7 @@ def start_ml_worker(url, api_key, hf_token):
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# Always run an external ML worker
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stop_ml_worker()
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-
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thread = threading.Thread(target=run_ml_worker, args=(url, api_key, hf_token))
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thread.start()
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return f"ML worker running for {url}"
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import gradio as gr
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import logging
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import subprocess
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import threading
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from giskard.settings import settings
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logger = logging.getLogger(__name__)
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logging.getLogger().setLevel(logging.INFO)
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logging.getLogger("giskard").setLevel(logging.INFO)
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LOG_FILE = "output.log"
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stdout=open(LOG_FILE, "w"), stderr=subprocess.STDOUT
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)
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args = ml_worker.args
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logging.info(f"Process {args} exited with {ml_worker.wait()}")
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ml_worker = None
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def stop_ml_worker():
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global ml_worker, previous_url
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if ml_worker is not None:
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logging.info(f"Stopping ML worker for {previous_url}")
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ml_worker.terminate()
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ml_worker = None
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logging.info("ML worker stopped")
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return "ML worker stopped"
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return "ML worker not started"
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# Always run an external ML worker
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stop_ml_worker()
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logging.info(f"Starting ML worker for {url}")
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thread = threading.Thread(target=run_ml_worker, args=(url, api_key, hf_token))
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thread.start()
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return f"ML worker running for {url}"
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