does not work: matches = transcript.word_search(["price", "product"])

[Faizan-Saifullah]

No description provided.

[marcusolsson]

Hi @Faizan-Saifullah! 👋 Could you describe the problem you're seeing? Are you getting an exception, or is the output not what you expected?

[Faizan-Saifullah]

Actually, I am trying to run a script where i do Speech2Txt using AssemblyAI and then i send the data to gpt which processes the answer. from there, i want to out back speech (TTS) using elevenlabs api. But the issue is that the transcriber does not stop after a pause in speech. therefore, I am trying to track a key word which when comes, the transcriber can stop. i need help in that . below is the code:

import assemblyai as aai
import elevenlabs
import openai as openai
from elevenlabs import ElevenLabs
from queue import Queue

client = openai.Client(api_key="")

###api keys slot:
aai.settings.api_key =""

OpenAI.api_key = ""

client = ElevenLabs(api_key = "")

transcript_queue = Queue()

def on_open(session_opened: aai.RealtimeSessionOpened):
print("Session ID:", session_opened.session_id)

def on_data(transcript: aai.RealtimeTranscript):
if not transcript.text:
return
if isinstance(transcript, aai.RealtimeFinalTranscript):
transcript_queue.put(transcript.text + " ")
print("User: ", transcript.text, end="\r\n")
else:
print(transcript.text, end="\r")

def on_error(error: aai.RealtimeError):
print("Error: ", error)

def on_close():
print("Closing Session")

def handle_conversation():
while True:
transcriber = aai.RealtimeTranscriber(on_data=on_data, on_error=on_error, sample_rate=44_100, on_open=on_open, on_close=on_close)
###starting connection
transcriber.connect()
###opening microphone stream
microphone_stream = aai.extras.MicrophoneStream()
###streaming audio from microphone
transcriber.stream(microphone_stream)
###close current transcription session with CTRL+C
transcriber.close()

    ###retrieving data from queue
    transcript_result = transcript_queue.get()
    print("Transcript: ", transcript_result)
    transcripted = transcript_result

    # completion = client.chat.completions.create(model="gpt-4o",messages=[{"role": "developer", "content": "You are a helpful assistant."},{"role": "user","content": "What is 2+2?"}])
    # print(completion.choices[0].message.content)

    ###sending transcript to openai to generate a response
    response = client.chat.completions.create(model = 'gpt-4o', messages = [{"role": "developer", "content": "You are a highly skilled AI, answer the questions given within a maximum of 1000 characters."}, {"role": "user", "content": transcripted}])
    text = response.choices[0].message.content
    print("response: ", text)
    


    # ###convert the response to audio and play it
    # audio = client.text_to_speech.convert_as_stream(text = text, voice_id="JBFqnCBsd6RMkjVDRZzb", output_format="mp3_44100_128",model_id="eleven_multilingual_v2")
    # # audio = voice_generation(text = text, voice = "en-US-Wavenet-D", speed = 1.0, pitch = 0.0, volume = 1.0)
    # print("\nAI: ", text, end="\r\n")
    # elevenlabs.play(audio)

handle_conversation()