added transcript limit

This commit is contained in:
SevaSk 2023-05-12 21:08:31 -04:00
parent e07a090f4b
commit 22ea6acb93
4 changed files with 21 additions and 12 deletions

View File

@ -14,8 +14,10 @@ class DefaultMicRecorder:
self.source = sr.Microphone(sample_rate=16000)
self.num_channels = 1
print("Adjusting for ambient microphone noise. Say something through the microphone")
with self.source:
self.recorder.adjust_for_ambient_noise(self.source)
print("Done adjusting for ambient microphone noise")
def record_into_queue(self, audio_queue):
def record_callback(_, audio:sr.AudioData) -> None:
@ -47,8 +49,10 @@ class DefaultSpeakerRecorder:
chunk_size=pyaudio.get_sample_size(pyaudio.paInt16))
self.num_channels = self.default_speakers["maxInputChannels"]
print("Adjusting for ambient speaker noise. Play something through the speaker")
with self.source:
self.recorder.adjust_for_ambient_noise(self.source)
print("Done adjusting for ambient speaker noise")
def record_into_queue(self, audio_queue):
def record_callback(_, audio:sr.AudioData) -> None:

View File

@ -7,12 +7,13 @@ from tempfile import NamedTemporaryFile
import custom_speech_recognition as sr
import io
from datetime import timedelta
from time import sleep
import pyaudiowpatch as pyaudio
from AudioRecorder import DefaultMicRecorder, DefaultSpeakerRecorder
from heapq import merge
PHRASE_TIMEOUT = 4
PHRASE_TIMEOUT = 3.01
MAX_PHRASES = 10
class AudioTranscriber:
def __init__(self, default_mic : DefaultMicRecorder, default_speaker : DefaultSpeakerRecorder):
@ -26,7 +27,7 @@ class AudioTranscriber:
self.mic_channels = default_mic.num_channels
self.speaker_sample_rate = default_speaker.source.SAMPLE_RATE
self.speaker_sample_rate = default_speaker.source.SAMPLE_RATE
self.speaker_sample_width = default_speaker.source.SAMPLE_WIDTH
self.speaker_channels = default_speaker.num_channels
def create_transcription_from_queue(self, audio_queue):
@ -66,6 +67,8 @@ class AudioTranscriber:
if text != '' and text.lower() != 'you':
if mic_start_new_phrase or len(self.mic_transcript_data) == 0:
if len(self.mic_transcript_data) > MAX_PHRASES:
self.mic_transcript_data.pop()
self.mic_transcript_data = [(who_spoke + ": [" + text + ']\n\n', time_spoken)] + self.mic_transcript_data
self.transcript_changed_event.set()
else:
@ -96,6 +99,8 @@ class AudioTranscriber:
if text != '' and text.lower() != 'you':
if speaker_start_new_phrase or len(self.speaker_transcript_data) == 0:
if len(self.mic_transcript_data) > MAX_PHRASES:
self.mic_transcript_data.pop()
self.speaker_transcript_data = [(who_spoke + ": [" + text + ']\n\n', time_spoken)] + self.speaker_transcript_data
self.transcript_changed_event.set()
@ -107,5 +112,6 @@ class AudioTranscriber:
def get_transcript(self):
key = lambda x : x[1]
transcript_tuple = list(merge(self.mic_transcript_data, self.speaker_transcript_data, key=key, reverse=True))
transcript_tuple = transcript_tuple[0:MAX_PHRASES]
return "".join([t[0] for t in transcript_tuple])

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@ -4,7 +4,6 @@ from GPTResponder import GPTResponder
import customtkinter as ctk
import AudioRecorder
import queue
import os
import time
def write_in_textbox(textbox, text):

View File

@ -1,7 +1,7 @@
numpy
openai-whisper
torch
wave
openai
customtkinter
pyaudiowpatch
numpy==1.24.3
openai-whisper==20230314
torch==2.0.1
Wave==0.0.2
openai==0.27.6
customtkinter==5.1.3
PyAudioWPatch==0.2.12.5