Add mumble-mimic-bot.py
This commit is contained in:
parent
ca541045e3
commit
3e34de0211
47
mumble-mimic-bot.py
Normal file
47
mumble-mimic-bot.py
Normal file
@ -0,0 +1,47 @@
|
|||||||
|
"""
|
||||||
|
ATTN: This bot relies on both the pymumble and numpy libraries. Make sure they are installed before running.
|
||||||
|
|
||||||
|
mimic-bot connects to the murmur server you designate, enters the channel assigned via "channel",
|
||||||
|
and repeats back audio received from the user after a short delay
|
||||||
|
"""
|
||||||
|
|
||||||
|
import pymumble_py3
|
||||||
|
import time
|
||||||
|
from pymumble_py3.callbacks import PYMUMBLE_CLBK_SOUNDRECEIVED as PCS
|
||||||
|
from collections import deque
|
||||||
|
import numpy as np
|
||||||
|
|
||||||
|
server = "localhost" # Server address
|
||||||
|
nick = "mimic-bot" # Bot name
|
||||||
|
channel = "audio test" # Channel name
|
||||||
|
audio_buffer = deque() # Initialize a buffer to store audio chunks
|
||||||
|
last_received = None # Initialize a timestamp for the last received chunk
|
||||||
|
wait_duration = 2.0 # Duration to wait before mimic
|
||||||
|
|
||||||
|
def sound_received_handler(user, soundchunk):
|
||||||
|
global audio_buffer, last_received
|
||||||
|
last_received = time.time()
|
||||||
|
audio_buffer.append(np.frombuffer(soundchunk.pcm, dtype=np.int16))
|
||||||
|
|
||||||
|
mumble = pymumble_py3.Mumble(server, nick)
|
||||||
|
mumble.callbacks.set_callback(PCS, sound_received_handler)
|
||||||
|
mumble.set_receive_sound(1) # Audio received
|
||||||
|
mumble.start()
|
||||||
|
mumble.is_ready()
|
||||||
|
mumble.channels.find_by_name(channel).move_in()
|
||||||
|
|
||||||
|
while True:
|
||||||
|
current_time = time.time()
|
||||||
|
if last_received and (current_time - last_received >= wait_duration): # Calculate wait duration
|
||||||
|
last_received = None
|
||||||
|
buffered_audio = np.concatenate(list(audio_buffer)) # Begin buffer
|
||||||
|
audio_buffer.clear()
|
||||||
|
buffered_duration = len(buffered_audio) / 48000.0
|
||||||
|
num_samples_for_5_sec = int((5.0 - buffered_duration) * 48000)
|
||||||
|
silence_data = np.zeros(max(0, num_samples_for_5_sec), dtype=np.int16)
|
||||||
|
new_audio = np.concatenate((silence_data, buffered_audio)) # End buffer
|
||||||
|
|
||||||
|
new_pcm = new_audio.tobytes() # Combine audio and send
|
||||||
|
mumble.sound_output.add_sound(new_pcm)
|
||||||
|
|
||||||
|
time.sleep(0.1) # Sleep until needed
|
Loading…
Reference in New Issue
Block a user