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from key import KEY
from openai import OpenAI
from pathlib import Path
client = OpenAI(api_key=KEY)
audio_file = open(Path(__file__).parent / "saved_model" / "HELLO.mp3", "rb")
transcript = client.audio.transcriptions.create(
model="whisper-1",
file=audio_file,
response_format="verbose_json",
timestamp_granularities=["word"]
)
print(transcript)
print(transcript.to_json())
# ❯ /Users/user/models/WhisperReproduction/.venv/bin/python /Users/user/models/WhisperReproduction/main.py
# TranscriptionVerbose(duration=2.559999942779541, language='english', text='Hello, how are you?', segments=None, words=[TranscriptionWord(end=1.2799999713897705, start=0.800000011920929, word='Hello'), TranscriptionWord(end=1.7000000476837158, start=1.2799999713897705, word='how'), TranscriptionWord(end=1.7999999523162842, start=1.7000000476837158, word='are'), TranscriptionWord(end=2.0399999618530273, start=1.7999999523162842, word='you')], task='transcribe')
# /Users/user/models/WhisperReproduction/.venv/lib/python3.10/site-packages/pydantic/main.py:477: UserWarning: Pydantic serializer warnings:
# Expected `str` but got `float` with value `2.559999942779541` - serialized value may not be as expected
# return self.__pydantic_serializer__.to_json(
# {
# "duration": 2.559999942779541,
# "language": "english",
# "text": "Hello, how are you?",
# "words": [
# {
# "end": 1.2799999713897705,
# "start": 0.800000011920929,
# "word": "Hello"
# },
# {
# "end": 1.7000000476837158,
# "start": 1.2799999713897705,
# "word": "how"
# },
# {
# "end": 1.7999999523162842,
# "start": 1.7000000476837158,
# "word": "are"
# },
# {
# "end": 2.0399999618530273,
# "start": 1.7999999523162842,
# "word": "you"
# }
# ],
# "task": "transcribe"
# }
# audio_file = open(Path(__file__).parent / "saved_model" / "chatgpt_longest_ish.wav", "rb")
# transcript = client.audio.transcriptions.create(
# model="whisper-1",
# file=audio_file
# )
# Transcription(text='Hello, how are you?') second or less
# Transcription(text='...Of course, there's also computer animation, which has opened up endless possibilities for creativity. What's your favorite type of animation?') 4m 9s
# ❯ /Users/user/models/WhisperReproduction/.venv/bin/python /Users/user/models/WhisperReproduction/main.py
# Traceback (most recent call last):
# File "/Users/user/models/WhisperReproduction/main.py", line 8, in <module>
# transcript = client.audio.transcriptions.create(
# File "/Users/user/models/WhisperReproduction/.venv/lib/python3.10/site-packages/openai/resources/audio/transcriptions.py", line 188, in create
# return self._post( # type: ignore[return-value]
# File "/Users/user/models/WhisperReproduction/.venv/lib/python3.10/site-packages/openai/_base_client.py", line 1283, in post
# return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
# File "/Users/user/models/WhisperReproduction/.venv/lib/python3.10/site-packages/openai/_base_client.py", line 960, in request
# return self._request(
# File "/Users/user/models/WhisperReproduction/.venv/lib/python3.10/site-packages/openai/_base_client.py", line 1049, in _request
# return self._retry_request(
# File "/Users/user/models/WhisperReproduction/.venv/lib/python3.10/site-packages/openai/_base_client.py", line 1098, in _retry_request
# return self._request(
# File "/Users/user/models/WhisperReproduction/.venv/lib/python3.10/site-packages/openai/_base_client.py", line 1049, in _request
# return self._retry_request(
# File "/Users/user/models/WhisperReproduction/.venv/lib/python3.10/site-packages/openai/_base_client.py", line 1098, in _retry_request
# return self._request(
# File "/Users/user/models/WhisperReproduction/.venv/lib/python3.10/site-packages/openai/_base_client.py", line 1064, in _request
# raise self._make_status_error_from_response(err.response) from None
# openai.APIStatusError: Error code: 413 - {'error': {'message': '413: Maximum content size limit (26214400) exceeded (26293319 bytes read)', 'type': 'server_error', 'param': None, 'code': None}}
# ~/models/WhisperReproduction main* 2m 5s
# print(transcript) |