error

[jachenms]

appreciated to help me to solve the issue as soon as possible

[PromtEngineer]

@jachenms have you added your GROQ_API_KEY to the .env file?

[jachenms]

sure have defined, need run ollama 3.1 ?

[jachenms]

I get groq api key from the groq cloud ? is it right ?

[jachenms]

why said failed to record audio ?

[jachenms]

appreciated to help to give a hand to solve this issue because of urgent demo case

[jachenms]

test.mp3 is empty , how to solve the issye, please help me to solve it

[jachenms]

please please please help

[jachenms]

move foward, last question to how to solve the response ?

[gourmetgear]

Try this for audio.py:

import pyaudio import wave import logging import os

Configure logging

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

def record_audio(file_path, duration=5, retries=3): """ Record audio from the microphone and save it as a WAV file.

Args:
file_path (str): The path to save the recorded audio file.
duration (int): Duration of the recording in seconds.
retries (int): Number of retries if recording fails.
"""
for attempt in range(retries):
    try:
        # Set up parameters for recording
        chunk = 1024  # Record in chunks of 1024 samples
        sample_format = pyaudio.paInt16  # 16 bits per sample
        channels = 1
        fs = 44100  # Record at 44100 samples per second

        p = pyaudio.PyAudio()  # Create an interface to PortAudio

        logging.info("Recording started")
        stream = p.open(format=sample_format,
                        channels=channels,
                        rate=fs,
                        frames_per_buffer=chunk,
                        input=True)

        frames = []  # Initialize array to store frames

        # Store data in chunks for the specified duration
        for _ in range(0, int(fs / chunk * duration)):
            data = stream.read(chunk)
            frames.append(data)

        # Stop and close the stream
        stream.stop_stream()
        stream.close()
        p.terminate()

        logging.info("Recording complete")

        # Save the recorded data as a WAV file
        wf = wave.open(file_path, 'wb')
        wf.setnchannels(channels)
        wf.setsampwidth(p.get_sample_size(sample_format))
        wf.setframerate(fs)
        wf.writeframes(b''.join(frames))
        wf.close()

        logging.info(f"Audio recorded and saved to {file_path}")

        # Verify that the file was created
        if not os.path.exists(file_path):
            raise FileNotFoundError(f"Recorded file not found: {file_path}")
        return
    except Exception as e:
        logging.error(f"Failed to record audio: {e}")
        if attempt == retries - 1:
            raise

logging.error("Recording failed after all retries")

def play_audio(file_path): """ Play an audio file using pyaudio.

Args:
file_path (str): The path to the audio file to play.
"""
try:
    if not os.path.exists(file_path):
        raise FileNotFoundError(f"Audio file not found: {file_path}")

    # Set up parameters for playback
    chunk = 1024

    wf = wave.open(file_path, 'rb')
    p = pyaudio.PyAudio()

    stream = p.open(format=p.get_format_from_width(wf.getsampwidth()),
                    channels=wf.getnchannels(),
                    rate=wf.getframerate(),
                    output=True)

    data = wf.readframes(chunk)

    while data:
        stream.write(data)
        data = wf.readframes(chunk)

    stream.stop_stream()
    stream.close()
    p.terminate()

    logging.info(f"Audio playback complete for {file_path}")
except FileNotFoundError as e:
    logging.error(f"File not found: {e}")
except Exception as e:
    logging.error(f"An unexpected error occurred while playing audio: {e}")

def transcribe_audio(file_path): """ Transcribe the audio file using an external API.

Args:
file_path (str): The path to the audio file to transcribe.
"""
try:
    if not os.path.exists(file_path):
        raise FileNotFoundError(f"File not found for transcription: {file_path}")

    logging.info(f"HTTP Request: POST https://api.groq.com/openai/v1/audio/transcriptions")
    # Simulate HTTP request
    # response = requests.post("https://api.groq.com/openai/v1/audio/transcriptions", files={'file': open(file_path, 'rb')})

    # Simulate response
    response = {"status_code": 400, "json": lambda: {'error': {'message': 'file is empty', 'type': 'invalid_request_error'}}}

    if response["status_code"] != 200:
        error_message = response["json"]().get('error', {}).get('message', 'Unknown error')
        raise ValueError(f"Error code: {response['status_code']} - {error_message}")

    logging.info("Transcription successful")
except FileNotFoundError as e:
    logging.error(f"Failed to transcribe audio: {e}")
except ValueError as e:
    logging.error(f"Failed to transcribe audio: {e}")
except Exception as e:
    logging.error(f"An unexpected error occurred: {e}")

def main(): file_path = "test.wav"

if record_audio(file_path):
    transcribe_audio(file_path)
    try:
        os.remove(file_path)
        logging.info(f"Deleted file: {file_path}")
    except PermissionError as e:
        logging.error(f"Permission denied when trying to delete file: {e}")
    except Exception as e:
        logging.error(f"Failed to delete file: {e}")

if name == "main": main()