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https://github.com/migatu/conjurer.git
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fix
This commit is contained in:
+57
-28
@@ -1,33 +1,54 @@
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import logging
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import wave
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import assemblyai as aai
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import discord
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from discord.ext import commands, voice_recv
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import logging
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from discord.opus import Decoder as OpusDecoder
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import wave
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# Replace with your API key
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aai.settings.api_key = "aa9962f0088a449a9c4ab2361e96cc08"
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discord.opus._load_default()
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# VoiceState
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# self_mute=False
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# self_deaf=False
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# self_stream=False
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# suppress=False
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# requested_to_speak_at=None
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# channel=<VoiceChannel id=1285599336318632036
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# name='testing'
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# rtc_region=None
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# position=10
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# bitrate=64000
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# video_quality_mode=<VideoQualityMode.auto: 1>
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# user_limit=0
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# category_id=1084451744496496753
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# URL of the file to transcribe
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# You can also transcribe a local file by passing in a file path
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# FILE_URL = './path/to/file.mWp3
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logger = logging.getLogger("discord")
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location = "/home/pi/Conjurer/"
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class Events(commands.Cog):
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def __init__(self, bot):
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self.bot = bot
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@commands.Cog.listener()
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async def on_voice_state_update(self, before, after, third):
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logger.info("self %s", self)
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logger.info("before %s", before)
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logger.info("after %s", after)
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logger.info("third %s", third)
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async def on_voice_state_update(self, user, before, after):
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if before.channel is None:
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logger.info("User %s connected to channel %s", user, after.channel.name)
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elif after.channel is None:
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logger.info("User %s disconnected from channel %s", user, before.channel.name)
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else:
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logger.info("User VC status changed %s", user)
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logger.info("Before %s", before)
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logger.info("After %s", after)
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class UserTranscript():
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class UserTranscript:
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def __init__(self, user_id):
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self.username = str(user_id)
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@@ -35,24 +56,34 @@ class UserTranscript():
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self.file_name_past = None
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self.file_name_present = location + self.username + str(self.present_file_id)
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self.transcript_file_present = wave.Wave_write = wave.open(self.file_name_present, 'wb')
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self.transcript_file_present = wave.Wave_write = wave.open(
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self.file_name_present, "wb"
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)
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self.file_name_future = location + self.username + str(self.present_file_id + 1)
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self.transcript_file_future = wave.Wave_write = wave.open(
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self.file_name_future, "wb"
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)
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self.file_name_future = location + self.username + str(self.present_file_id+1)
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self.transcript_file_future = wave.Wave_write = wave.open(self.file_name_future, 'wb')
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def rotate(self):
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self.transcript_file_present.close()
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self.name_file_past = self.file_name_present
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self.present_file_id += 1
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self.file_name_present = self.file_name_future
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self.transcript_file_present = self.transcript_file_future
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self.transcript_file_future = location + self.username + str(self.present_file_id+1)
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self.transcript_file_future = wave.Wave_write = wave.open(self.file_name_future, 'wb')
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#send past to transcription
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self.transcript_file_future = (
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location + self.username + str(self.present_file_id + 1)
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)
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self.transcript_file_future = wave.Wave_write = wave.open(
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self.file_name_future, "wb"
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)
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# send past to transcription
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def cleanup(self):
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self.transcript_file_present.close()
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self.transcript_file_future.close()
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#send present to transcription
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# send present to transcription
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class SRBuffer(voice_recv.AudioSink):
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"""Endpoint AudioSink that generates a wav file.
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@@ -63,14 +94,13 @@ class SRBuffer(voice_recv.AudioSink):
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SAMPLE_WIDTH = OpusDecoder.SAMPLE_SIZE // OpusDecoder.CHANNELS
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SAMPLING_RATE = OpusDecoder.SAMPLING_RATE
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#on member join dodajemytypa do listy
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#on member disconnect - dropujemy go
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# on member join dodajemytypa do listy
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# on member disconnect - dropujemy go
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def __init__(self, destination):
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super().__init__()
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self._file: wave.Wave_write = wave.open(destination, 'wb')
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self._file: wave.Wave_write = wave.open(destination, "wb")
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self._file.setnchannels(self.CHANNELS)
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self._file.setsampwidth(self.SAMPLE_WIDTH)
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self._file.setframerate(self.SAMPLING_RATE)
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@@ -101,12 +131,10 @@ class Transcriber(commands.Cog):
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config = aai.TranscriptionConfig(speaker_labels=True, language_code="pl")
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transcriber = aai.Transcriber()
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transcript = transcriber.transcribe(
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file_url,
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config=config
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)
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transcript = transcriber.transcribe(file_url, config=config)
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for utterance in transcript.utterances:
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print(f"Speaker {utterance.speaker}: {utterance.text}")
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print(f"Speaker {utterance.speaker}: {utterance.text}")
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@commands.hybrid_command(name="transcribe")
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async def test(self, ctx):
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logger.info("Attempt transcribe")
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@@ -114,14 +142,15 @@ class Transcriber(commands.Cog):
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logger.info("Connected")
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vc.listen(self.wsink)
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@commands.command(name="stop_transcribe")
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async def stop(self, ctx):
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await ctx.voice_client.disconnect()
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async def setup(bot):
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await bot.add_cog(Transcriber(bot))
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await bot.add_cog(Events(bot))
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#1. zapisuj kwestie człowieka do pliku w którym będzie można stwierdzić kto co powiedział (callback z basicaudio + write z wavesinka). Zamykaj plik i wysyłaj do transkrypcji w momencie ciszy dłuższej niż 0.5s. Jeśli człowiek nadaje cały czas dawaj sygnał że nie można go transkrybować - i wyłaczaj zapis.
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#2. Transkrypcja to abstrakt - w zależności od tego która metoda jest włączona wysyła do odpowiedniego silnika, silniki offline odpalam na activcomie. Zaczynamy od assemblyai bo najlepiej wspiera polski. Potem zobaczymy co dalej.
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# 1. zapisuj kwestie człowieka do pliku w którym będzie można stwierdzić kto co powiedział (callback z basicaudio + write z wavesinka). Zamykaj plik i wysyłaj do transkrypcji w momencie ciszy dłuższej niż 0.5s. Jeśli człowiek nadaje cały czas dawaj sygnał że nie można go transkrybować - i wyłaczaj zapis.
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# 2. Transkrypcja to abstrakt - w zależności od tego która metoda jest włączona wysyła do odpowiedniego silnika, silniki offline odpalam na activcomie. Zaczynamy od assemblyai bo najlepiej wspiera polski. Potem zobaczymy co dalej.
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