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Back to print to chase down this issue #55

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1 change: 1 addition & 0 deletions .gitignore
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,3 +2,4 @@ media/*
destinations.csv
.env
venv
.vscode
13 changes: 4 additions & 9 deletions ttt.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,6 @@
#!/usr/bin/env python

import json
import logging
import os
import subprocess
import sys
Expand All @@ -15,8 +14,6 @@
import torch
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline

logging.basicConfig(stream=sys.stdout)

# Before we dig in, let's globally set up transformers
# We will load up the model, etc now so we only need to
# use the PIPE constant in the function.
Expand Down Expand Up @@ -71,9 +68,7 @@ def transcribe_whispercpp(calljson, audiofile):
response = requests.post(f"{whisper_url}/inference", files=files)
response.raise_for_status()
except requests.exceptions.RequestException as e:
logging.error(
f"A request error occurred while trying to post to whisper.cpp: {e}"
)
print(f"A request error occurred while trying to post to whisper.cpp: {e}")
raise RuntimeError(
"A request error occurred while trying to post to whisper.cpp."
) from e
Expand Down Expand Up @@ -145,7 +140,7 @@ def transcribe_deepgram(calljson, audiofile):
)
response.raise_for_status()
except requests.exceptions.RequestException as e:
logging.error(f"A request error occurred while trying to post to Deepgram: {e}")
print(f"A request error occurred while trying to post to Deepgram: {e}")
raise RuntimeError(
"A request error occurred while trying to post to Deepgram."
) from e
Expand Down Expand Up @@ -318,15 +313,15 @@ def main():

# If the queue is empty, pause for 5 seconds and then restart polling
if not jsonlist:
logging.debug("Empty queue. Sleep 5 seconds and check again.")
print("Empty queue. Sleep 5 seconds and check again.")
time.sleep(5)
return

for jsonfile in jsonlist:
# Ok, let's grab the first json and pull it out and then the matching wav file
audiofile = Path(jsonfile).with_suffix(".wav")

logging.info(f"Processing: {audiofile}")
print(f"Processing: {audiofile}")

# Now load the actual json data into calljson
calljson = jsonfile.read_text()
Expand Down