Additional outputs tweaks + fix track constraints (#28)

* code

* add code

* add code
This commit is contained in:
Freddy Boulton
2024-12-03 15:32:43 -05:00
committed by GitHub
parent 65d0ba023f
commit c85c117576
10 changed files with 91 additions and 53 deletions

View File

@@ -1,37 +1,21 @@
import logging
import tempfile
import gradio as gr
import numpy as np
from dotenv import load_dotenv
from gradio_webrtc import AdditionalOutputs, ReplyOnPause, WebRTC
from openai import OpenAI
from pydub import AudioSegment
from dotenv import load_dotenv
load_dotenv()
# Configure the root logger to WARNING to suppress debug messages from other libraries
logging.basicConfig(level=logging.WARNING)
# Create a console handler
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.DEBUG)
# Create a formatter
formatter = logging.Formatter("%(name)s - %(levelname)s - %(message)s")
console_handler.setFormatter(formatter)
# Configure the logger for your specific library
logger = logging.getLogger("gradio_webrtc")
logger.setLevel(logging.DEBUG)
logger.addHandler(console_handler)
client = OpenAI()
def transcribe(audio: tuple[int, np.ndarray], transcript: list[dict]):
print("audio", audio)
segment = AudioSegment(
audio[1].tobytes(),
frame_rate=audio[0],
@@ -39,12 +23,14 @@ def transcribe(audio: tuple[int, np.ndarray], transcript: list[dict]):
channels=1,
)
transcript.append({"role": "user", "content": gr.Audio((audio[0], audio[1].squeeze()))})
with tempfile.NamedTemporaryFile(suffix=".mp3") as temp_audio:
segment.export(temp_audio.name, format="mp3")
next_chunk = client.audio.transcriptions.create(
model="whisper-1", file=open(temp_audio.name, "rb")
).text
transcript.append({"role": "user", "content": next_chunk})
transcript.append({"role": "assistant", "content": next_chunk})
yield AdditionalOutputs(transcript)