Sistemas Multimodais com a API da OpenAI
James Chapman
Curriculum Manager, DataCamp
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from openai import OpenAI# Create the OpenAI client client = OpenAI(api_key="<OPENAI_API_TOKEN>")# Create a request to the Chat Completions endpoint response = client.chat.completions.create(model="gpt-4o-mini", messages=[{"role": "user", "content": "What is the OpenAI API?"}])
# Extract the content from the response
print(response.choices[0].message.content)
The OpenAI API is a cloud-based service provided by OpenAI that allows developers
to integrate advanced AI models into their applications.
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Recursos de fala para texto:
mp3, mp4, mpeg, mpga, m4a, wav e webm (limite de 25 MB)
Casos de uso:

Exemplo: transcrever meeting_recording.mp3
audio_file = open("meeting_recording.mp3", "rb")
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Se o arquivo estiver em um diretório diferente
audio_file = open("path/to/file/meeting_recording.mp3", "rb")
audio_file= open("meeting_recording.mp3", "rb")response = client.audio.transcriptions.create(model="whisper-1",file=audio_file)print(response)
Transcription(text="Welcome everyone to the June product monthly. We'll get started in...)
print(response.text)
Welcome everyone to the June product monthly. We'll get started in just a minute.
Alright, let's get started. Today's agenda will start with a spotlight from Chris
on the new mobile user onboarding flow, then we'll review how we're tracking on
our quarterly targets, and finally, we'll finish with another spotlight from Katie
who will discuss the upcoming branding updates...

Fluxo de transcrição:
open() arquivo de áudioaudio_file = open("non_english_audio.m4a", "rb")response = client.audio.translations.create(model="whisper-1",file=audio_file)print(response.text)
The search volume for keywords like A I has increased rapidly since the launch of
Cha GTP.
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Sistemas Multimodais com a API da OpenAI