update client to websocket
This commit is contained in:
makaveli10
@@ -2,56 +2,84 @@ import io
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import os
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import argparse
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import wave
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import uuid
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import hashlib
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import base64
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import time
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import numpy as np
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import scipy
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import ffmpeg
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import torch
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import socket, pickle, pyaudio, struct
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import pyaudio
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import threading
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import textwrap
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import json
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import torchaudio
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from dataclasses import dataclass
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import websocket
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CHUNK = 1024
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FORMAT = pyaudio.paInt16
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CHANNELS = 1
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RATE = 16000
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RECORD_SECONDS = 60000
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all_segments = []
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@dataclass(frozen=True)
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class Constants:
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ACK = b"acknowledged"
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RECORDING_OVER = b"audio_data_over"
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RECEIVED_AUDIO_FILE = b"audio_file_sent"
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RECEIVING_AUDIO_FILE = b"sending_audio_file"
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def on_message(ws, message):
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message = json.loads(message)
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text = []
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if len(message):
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for seg in message:
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if len(text):
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if text[-1] != seg["text"]:
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text.append(seg["text"])
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else:
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text.append(seg["text"])
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if len(text) > 3:
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text = text[-3:]
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wrapper = textwrap.TextWrapper(width=60)
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word_list = wrapper.wrap(text="".join(text))
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# Print each line.
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os.system('clear')
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for element in word_list:
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print(element)
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def on_error(ws, error):
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print(error)
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def on_close(ws, close_status_code, close_msg):
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print("### websocket connection closed ###")
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def on_open(ws):
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print("Opened connection")
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class Client:
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def __init__(self, topic=None, host=None, port=None):
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def __init__(self, host=None, port=None):
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self.timestamp_offset = 0.0
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self.audio_bytes = None
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self.p = pyaudio.PyAudio()
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self.payload_size = struct.calcsize("Q")
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self.stream = self.p.open(format=FORMAT,
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channels=CHANNELS,
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rate=RATE,
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input=True,
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frames_per_buffer=CHUNK)
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print(self.p.get_sample_size(FORMAT))
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self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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host_ip = 'localhost' if host is None else host
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port = 5901 if port is None else port
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socket_address = (host_ip, port)
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self.client_socket.connect(socket_address)
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print("CLIENT CONNECTED TO", socket_address)
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# create websocket connection
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if host is not None and port is not None:
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socket_url = f"ws://{host}:{port}"
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self.client_socket = websocket.WebSocketApp(socket_url,
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on_open=on_open,
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on_message=on_message,
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on_error=on_error,
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on_close=on_close)
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else:
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print("No host or port specified.")
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return
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# start websocket client in a thread
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self.ws_thread = threading.Thread(target=self.client_socket.run_forever)
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self.ws_thread.setDaemon(True)
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self.ws_thread.start()
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# voice activity detection model
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self.vad_model, _ = torch.hub.load(repo_or_dir='snakers4/silero-vad',
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@@ -61,43 +89,14 @@ class Client:
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self.window_size = 1024
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self.vad_threshold = 0.4
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# subscribing to the correct topic
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if topic is not None:
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self.topic = topic
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else:
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self.topic = self.get_mac_address().decode()
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self.frames = b""
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data = b""
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while True:
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while len(data) < self.payload_size:
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packet = self.client_socket.recv(4*1024) #4K
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if not packet: break
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data+=packet
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packed_msg_size = data[:self.payload_size]
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data = data[self.payload_size:]
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try:
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msg_size = struct.unpack("Q",packed_msg_size)[0]
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except struct.error:
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break
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while len(data) < msg_size:
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data += self.client_socket.recv(4*1024)
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frame_data = data[:msg_size]
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frame_data = pickle.loads(frame_data)
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if Constants.ACK in frame_data:
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print("Server is ready. Sending audio ...")
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break
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print("* recording")
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def send_packet_to_server(self, message):
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a = pickle.dumps(message)
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message = struct.pack("Q",len(a))+a
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self.client_socket.sendall(message)
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def get_mac_address(self):
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mac = hex(uuid.getnode())
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hasher = hashlib.sha1(mac.encode())
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return base64.urlsafe_b64encode(hasher.digest()[:5])
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try:
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self.client_socket.send(message, websocket.ABNF.OPCODE_BINARY)
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except Exception as e:
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print(e)
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@staticmethod
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def bytes_to_audio_tensor(audio_bytes):
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@@ -107,7 +106,7 @@ class Client:
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)
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scipy.io.wavfile.write(bytes_io, RATE, raw_data)
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audio, _ = torchaudio.load(bytes_io)
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return audio.squeeze(0)
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return audio.squeeze(0), raw_data.astype(np.float32) / 32768.0
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def play_file(self, filename):
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# read audio and create pyaudio stream
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@@ -124,34 +123,20 @@ class Client:
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if data==b'': break
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# voice activity detection
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chunk_tensor = Client.bytes_to_audio_tensor(data)
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chunk_tensor, audio_array = Client.bytes_to_audio_tensor(data)
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try:
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speech_prob = self.vad_model(chunk_tensor, RATE).item()
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except ValueError:
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break # input audio chunk is too short
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if speech_prob > self.vad_threshold:
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data_dict = {
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"topic": self.topic,
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"audio": data
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}
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self.send_packet_to_server(data_dict)
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self.send_packet_to_server(audio_array.tobytes())
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self.stream.write(data)
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self.wf.close()
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self.stream.close()
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# let the server know that we're done
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data = Constants.RECORDING_OVER
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self.send_packet_to_server(data)
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with open("results.json", "w") as f:
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json_dict = json.dumps(all_segments, indent=2)
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f.write(json_dict)
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except KeyboardInterrupt:
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# write all segments to a file
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with open("results.json", "w") as f:
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json_dict = json.dumps(all_segments, indent=2)
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f.write(json_dict)
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print("Keyboard interrupt.")
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def get_client_socket(self):
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@@ -176,15 +161,11 @@ class Client:
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self.frames += data
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# voice activity detection
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chunk_tensor = Client.bytes_to_audio_tensor(data)
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chunk_tensor , audio_array = Client.bytes_to_audio_tensor(data)
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speech_prob = self.vad_model(chunk_tensor, RATE).item()
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if speech_prob > self.vad_threshold:
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data_dict = {
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"topic": self.topic,
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"audio": data
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}
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self.send_packet_to_server(data_dict)
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self.send_packet_to_server(audio_array.tobytes())
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# save frames if more than a minute
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if len(self.frames) > 60*RATE:
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@@ -205,16 +186,9 @@ class Client:
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self.stream.close()
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self.p.terminate()
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# let the server know that we're done
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data = Constants.RECORDING_OVER
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self.send_packet_to_server(data)
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# combine all the audio files
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self.write_output_recording(n_audio_file, out_file)
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# write all segments to a file
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with open("results.json", "w") as f:
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json_dict = json.dumps(all_segments, indent=2)
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f.write(json_dict)
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def write_output_recording(self, n_audio_file, out_file):
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input_files = [f"chunks/{i}.wav" for i in range(n_audio_file) if os.path.exists(f"chunks/{i}.wav")]
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@@ -234,41 +208,6 @@ class Client:
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wf.close()
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def recieve_response(client_socket):
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data = b""
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payload_size = struct.calcsize("Q")
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while True:
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while len(data) < payload_size:
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packet = client_socket.recv(4*1024) # 4K
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if not packet: break
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data+=packet
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packed_msg_size = data[:payload_size]
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data = data[payload_size:]
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try:
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msg_size = struct.unpack("Q",packed_msg_size)[0]
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except struct.error:
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break
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while len(data) < msg_size:
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data += client_socket.recv(4*1024)
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frame_data = data[:msg_size]
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data = data[msg_size:]
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response = pickle.loads(frame_data)
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if response is not None and isinstance(response, dict):
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os.system('clear')
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text = response['text']
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segments = response['segments']
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if len(segments):
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for seg in segments:
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all_segments.append(seg)
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wrapper = textwrap.TextWrapper(width=50)
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word_list = wrapper.wrap(text=text)
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# Print each line.
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for element in word_list:
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print(element)
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def resample(file: str, sr: int = 16000):
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"""
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# https://github.com/openai/whisper/blob/7858aa9c08d98f75575035ecd6481f462d66ca27/whisper/audio.py#L22
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@@ -301,20 +240,13 @@ def resample(file: str, sr: int = 16000):
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if __name__=="__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('--audio', type=str, help='audio file to transcribe')
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parser.add_argument('--topic', default=None, type=str, help='topic to subscribe for results')
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parser.add_argument('--host', default=None, type=str, help='server address to connect to')
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parser.add_argument('--port', default=None, type=str, help='server port to connect to')
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parser.add_argument('--host', default=None, type=str, help='websocket server address to connect to')
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parser.add_argument('--port', default=None, type=str, help='websocket server port to connect to')
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opt = parser.parse_args()
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c = Client(topic=opt.topic, host=opt.host, port=opt.port)
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while True:
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if c.get_client_socket() is not None:
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break
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client_socket = c.get_client_socket()
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t2 = threading.Thread(target=recieve_response, args=(client_socket, ))
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t2.start()
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c = Client(host=opt.host, port=opt.port)
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if opt.audio is not None:
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resampled_file = resample(opt.audio)
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c.play_file(resampled_file)
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else:
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c.record()
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t2.join()
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@@ -2,4 +2,5 @@ PyAudio
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ffmpeg-python
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scipy
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torch==1.12.1
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torchaudio==0.12.1
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torchaudio==0.12.1
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websocket-client
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