add nojekyll to resolve theme

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makaveli10
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<!DOCTYPE html>
<html lang="en" data-content_root="./">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Welcome to whisper_lives documentation! &#8212; whisper_live documentation</title>
<link rel="stylesheet" type="text/css" href="_static/pygments.css?v=4f649999" />
<link rel="stylesheet" type="text/css" href="_static/alabaster.css?v=039e1c02" />
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<link rel="index" title="Index" href="genindex.html" />
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<link rel="stylesheet" href="_static/custom.css" type="text/css" />
<meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
</head><body>
<div class="document">
<div class="documentwrapper">
<div class="bodywrapper">
<div class="body" role="main">
<section id="welcome-to-whisper-live-s-documentation">
<h1>Welcome to whisper_lives documentation!<a class="headerlink" href="#welcome-to-whisper-live-s-documentation" title="Link to this heading"></a></h1>
<div class="toctree-wrapper compound">
</div>
<dl class="py class" id="module-whisper_live.server">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">whisper_live.server.</span></span><span class="sig-name descname"><span class="pre">ServeClient</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">websocket</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'transcribe'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multilingual</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">language</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client_uid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient" title="Link to this definition"></a></dt>
<dd><dl class="simple">
<dt>Attributes:</dt><dd><p>RATE (int): The audio sampling rate (constant) set to 16000.
SERVER_READY (str): A constant message indicating that the server is ready.
DISCONNECT (str): A constant message indicating that the client should disconnect.
client_uid (str): A unique identifier for the client.
data (bytes): Accumulated audio data.
frames (bytes): Accumulated audio frames.
language (str): The language for transcription.
task (str): The task type, e.g., “transcribe.”
transcriber (WhisperModel): The Whisper model for speech-to-text.
timestamp_offset (float): The offset in audio timestamps.
frames_np (numpy.ndarray): NumPy array to store audio frames.
frames_offset (float): The offset in audio frames.
text (list): List of transcribed text segments.
current_out (str): The current incomplete transcription.
prev_out (str): The previous incomplete transcription.
t_start (float): Timestamp for the start of transcription.
exit (bool): A flag to exit the transcription thread.
same_output_threshold (int): Threshold for consecutive same output segments.
show_prev_out_thresh (int): Threshold for showing previous output segments.
add_pause_thresh (int): Threshold for adding a pause (blank) segment.
transcript (list): List of transcribed segments.
send_last_n_segments (int): Number of last segments to send to the client.
wrapper (textwrap.TextWrapper): Text wrapper for formatting text.
pick_previous_segments (int): Number of previous segments to include in the output.
websocket: The WebSocket connection for the client.</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.add_frames">
<span class="sig-name descname"><span class="pre">add_frames</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame_np</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.add_frames" title="Link to this definition"></a></dt>
<dd><p>Add audio frames to the ongoing audio stream buffer.</p>
<p>This method is responsible for maintaining the audio stream buffer, allowing the continuous addition
of audio frames as they are received. It also ensures that the buffer does not exceed a specified size
to prevent excessive memory usage.</p>
<p>If the buffer size exceeds a threshold (45 seconds of audio data), it discards the oldest 30 seconds
of audio data to maintain a reasonable buffer size. If the buffer is empty, it initializes it with the provided
audio frame. The audio stream buffer is used for real-time processing of audio data for transcription.</p>
<dl class="simple">
<dt>Args:</dt><dd><p>frame_np (numpy.ndarray): The audio frame data as a NumPy array.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.cleanup">
<span class="sig-name descname"><span class="pre">cleanup</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.cleanup" title="Link to this definition"></a></dt>
<dd><p>Perform cleanup tasks before exiting the transcription service.</p>
<p>This method performs necessary cleanup tasks, including stopping the transcription thread, marking
the exit flag to indicate the transcription thread should exit gracefully, and destroying resources
associated with the transcription process.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.disconnect">
<span class="sig-name descname"><span class="pre">disconnect</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.disconnect" title="Link to this definition"></a></dt>
<dd><p>Notify the client of disconnection and send a disconnect message.</p>
<p>This method sends a disconnect message to the client via the WebSocket connection to notify them
that the transcription service is disconnecting gracefully.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.fill_output">
<span class="sig-name descname"><span class="pre">fill_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.fill_output" title="Link to this definition"></a></dt>
<dd><p>Format the current incomplete transcription output by combining it with previous complete segments.
The resulting transcription is wrapped into two lines, each containing a maximum of 50 characters.</p>
<p>It ensures that the combined transcription fits within two lines, with a maximum of 50 characters per line.
Segments are concatenated in the order they exist in the list of previous segments, with the most
recent complete segment first and older segments prepended as needed to maintain the character limit.
If a 3-second pause is detected in the previous segments, any text preceding it is discarded to ensure
the transcription starts with the most recent complete content. The resulting transcription is returned
as a single string.</p>
<dl class="simple">
<dt>Args:</dt><dd><p>output(str): The current incomplete transcription segment.</p>
</dd>
<dt>Returns:</dt><dd><p>str: A formatted transcription wrapped in two lines.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.speech_to_text">
<span class="sig-name descname"><span class="pre">speech_to_text</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.speech_to_text" title="Link to this definition"></a></dt>
<dd><p>Process an audio stream in an infinite loop, continuously transcribing the speech.</p>
<p>This method continuously receives audio frames, performs real-time transcription, and sends
transcribed segments to the client via a WebSocket connection.</p>
<p>If the clients language is not detected, it waits for 30 seconds of audio input to make a language prediction.
It utilizes the Whisper ASR model to transcribe the audio, continuously processing and streaming results. Segments
are sent to the client in real-time, and a history of segments is maintained to provide context.Pauses in speech
(no output from Whisper) are handled by showing the previous output for a set duration. A blank segment is added if
there is no speech for a specified duration to indicate a pause.</p>
<dl class="simple">
<dt>Raises:</dt><dd><p>Exception: If there is an issue with audio processing or WebSocket communication.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.update_segments">
<span class="sig-name descname"><span class="pre">update_segments</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">segments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">duration</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.update_segments" title="Link to this definition"></a></dt>
<dd><p>Processes the segments from whisper. Appends all the segments to the list
except for the last segment assuming that it is incomplete.</p>
<p>Updates the ongoing transcript with transcribed segments, including their start and end times.
Complete segments are appended to the transcript in chronological order. Incomplete segments
(assumed to be the last one) are processed to identify repeated content. If the same incomplete
segment is seen multiple times, it updates the offset and appends the segment to the transcript.
A threshold is used to detect repeated content and ensure it is only included once in the transcript.
The timestamp offset is updated based on the duration of processed segments. The method returns the
last processed segment, allowing it to be sent to the client for real-time updates.</p>
<dl class="simple">
<dt>Args:</dt><dd><p>segments(dict) : dictionary of segments as returned by whisper
duration(float): duration of the current chunk</p>
</dd>
<dt>Returns:</dt><dd><dl class="simple">
<dt>dict or None: The last processed segment with its start time, end time, and transcribed text.</dt><dd><p>Returns None if there are no valid segments to process.</p>
</dd>
</dl>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="whisper_live.server.TranscriptionServer">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">whisper_live.server.</span></span><span class="sig-name descname"><span class="pre">TranscriptionServer</span></span><a class="headerlink" href="#whisper_live.server.TranscriptionServer" title="Link to this definition"></a></dt>
<dd><p>Represents a transcription server that handles incoming audio from clients.</p>
<dl class="simple">
<dt>Attributes:</dt><dd><p>RATE (int): The audio sampling rate (constant) set to 16000.
vad_model (torch.Module): The voice activity detection model.
vad_threshold (float): The voice activity detection threshold.
clients (dict): A dictionary to store connected clients.
websockets (dict): A dictionary to store WebSocket connections.
clients_start_time (dict): A dictionary to track client start times.
max_clients (int): Maximum allowed connected clients.
max_connection_time (int): Maximum allowed connection time in seconds.</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.TranscriptionServer.get_wait_time">
<span class="sig-name descname"><span class="pre">get_wait_time</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.TranscriptionServer.get_wait_time" title="Link to this definition"></a></dt>
<dd><p>Calculate and return the estimated wait time for clients.</p>
<dl class="simple">
<dt>Returns:</dt><dd><p>float: The estimated wait time in minutes.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.TranscriptionServer.recv_audio">
<span class="sig-name descname"><span class="pre">recv_audio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">websocket</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.TranscriptionServer.recv_audio" title="Link to this definition"></a></dt>
<dd><p>Receive audio chunks from a client in an infinite loop.</p>
<p>Continuously receives audio frames from a connected client
over a WebSocket connection. It processes the audio frames using a
voice activity detection (VAD) model to determine if they contain speech
or not. If the audio frame contains speech, it is added to the clients
audio data for ASR.
If the maximum number of clients is reached, the method sends a
“WAIT” status to the client, indicating that they should wait
until a slot is available.
If a clients connection exceeds the maximum allowed time, it will
be disconnected, and the clients resources will be cleaned up.</p>
<dl class="simple">
<dt>Args:</dt><dd><p>websocket (WebSocket): The WebSocket connection for the client.</p>
</dd>
<dt>Raises:</dt><dd><p>Exception: If there is an error during the audio frame processing.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.TranscriptionServer.run">
<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">host</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">port</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9090</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.TranscriptionServer.run" title="Link to this definition"></a></dt>
<dd><p>Run the transcription server.</p>
<dl class="simple">
<dt>Args:</dt><dd><p>host (str): The host address to bind the server.
port (int): The port number to bind the server.</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
</section>
<section id="indices-and-tables">
<span id="module-whisper_live.client"></span><h1>Indices and tables<a class="headerlink" href="#indices-and-tables" title="Link to this heading"></a></h1>
<ul class="simple">
<li><p><a class="reference internal" href="genindex.html"><span class="std std-ref">Index</span></a></p></li>
<li><p><a class="reference internal" href="py-modindex.html"><span class="std std-ref">Module Index</span></a></p></li>
<li><p><a class="reference internal" href="search.html"><span class="std std-ref">Search Page</span></a></p></li>
</ul>
</section>
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<!DOCTYPE html>
<html lang="en" data-content_root="./">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Welcome to whisper_lives documentation! &#8212; whisper_live documentation</title>
<link rel="stylesheet" type="text/css" href="_static/pygments.css?v=4f649999" />
<link rel="stylesheet" type="text/css" href="_static/alabaster.css?v=039e1c02" />
<script src="_static/documentation_options.js?v=5929fcd5"></script>
<script src="_static/doctools.js?v=888ff710"></script>
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<link rel="index" title="Index" href="genindex.html" />
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<div class="document">
<div class="documentwrapper">
<div class="bodywrapper">
<div class="body" role="main">
<section id="welcome-to-whisper-live-s-documentation">
<h1>Welcome to whisper_lives documentation!<a class="headerlink" href="#welcome-to-whisper-live-s-documentation" title="Link to this heading"></a></h1>
<div class="toctree-wrapper compound">
</div>
<dl class="py class" id="module-whisper_live.server">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">whisper_live.server.</span></span><span class="sig-name descname"><span class="pre">ServeClient</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">websocket</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'transcribe'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multilingual</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">language</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client_uid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient" title="Link to this definition"></a></dt>
<dd><dl class="simple">
<dt>Attributes:</dt><dd><p>RATE (int): The audio sampling rate (constant) set to 16000.
SERVER_READY (str): A constant message indicating that the server is ready.
DISCONNECT (str): A constant message indicating that the client should disconnect.
client_uid (str): A unique identifier for the client.
data (bytes): Accumulated audio data.
frames (bytes): Accumulated audio frames.
language (str): The language for transcription.
task (str): The task type, e.g., “transcribe.”
transcriber (WhisperModel): The Whisper model for speech-to-text.
timestamp_offset (float): The offset in audio timestamps.
frames_np (numpy.ndarray): NumPy array to store audio frames.
frames_offset (float): The offset in audio frames.
text (list): List of transcribed text segments.
current_out (str): The current incomplete transcription.
prev_out (str): The previous incomplete transcription.
t_start (float): Timestamp for the start of transcription.
exit (bool): A flag to exit the transcription thread.
same_output_threshold (int): Threshold for consecutive same output segments.
show_prev_out_thresh (int): Threshold for showing previous output segments.
add_pause_thresh (int): Threshold for adding a pause (blank) segment.
transcript (list): List of transcribed segments.
send_last_n_segments (int): Number of last segments to send to the client.
wrapper (textwrap.TextWrapper): Text wrapper for formatting text.
pick_previous_segments (int): Number of previous segments to include in the output.
websocket: The WebSocket connection for the client.</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.add_frames">
<span class="sig-name descname"><span class="pre">add_frames</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame_np</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.add_frames" title="Link to this definition"></a></dt>
<dd><p>Add audio frames to the ongoing audio stream buffer.</p>
<p>This method is responsible for maintaining the audio stream buffer, allowing the continuous addition
of audio frames as they are received. It also ensures that the buffer does not exceed a specified size
to prevent excessive memory usage.</p>
<p>If the buffer size exceeds a threshold (45 seconds of audio data), it discards the oldest 30 seconds
of audio data to maintain a reasonable buffer size. If the buffer is empty, it initializes it with the provided
audio frame. The audio stream buffer is used for real-time processing of audio data for transcription.</p>
<dl class="simple">
<dt>Args:</dt><dd><p>frame_np (numpy.ndarray): The audio frame data as a NumPy array.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.cleanup">
<span class="sig-name descname"><span class="pre">cleanup</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.cleanup" title="Link to this definition"></a></dt>
<dd><p>Perform cleanup tasks before exiting the transcription service.</p>
<p>This method performs necessary cleanup tasks, including stopping the transcription thread, marking
the exit flag to indicate the transcription thread should exit gracefully, and destroying resources
associated with the transcription process.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.disconnect">
<span class="sig-name descname"><span class="pre">disconnect</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.disconnect" title="Link to this definition"></a></dt>
<dd><p>Notify the client of disconnection and send a disconnect message.</p>
<p>This method sends a disconnect message to the client via the WebSocket connection to notify them
that the transcription service is disconnecting gracefully.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.fill_output">
<span class="sig-name descname"><span class="pre">fill_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.fill_output" title="Link to this definition"></a></dt>
<dd><p>Format the current incomplete transcription output by combining it with previous complete segments.
The resulting transcription is wrapped into two lines, each containing a maximum of 50 characters.</p>
<p>It ensures that the combined transcription fits within two lines, with a maximum of 50 characters per line.
Segments are concatenated in the order they exist in the list of previous segments, with the most
recent complete segment first and older segments prepended as needed to maintain the character limit.
If a 3-second pause is detected in the previous segments, any text preceding it is discarded to ensure
the transcription starts with the most recent complete content. The resulting transcription is returned
as a single string.</p>
<dl class="simple">
<dt>Args:</dt><dd><p>output(str): The current incomplete transcription segment.</p>
</dd>
<dt>Returns:</dt><dd><p>str: A formatted transcription wrapped in two lines.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.speech_to_text">
<span class="sig-name descname"><span class="pre">speech_to_text</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.speech_to_text" title="Link to this definition"></a></dt>
<dd><p>Process an audio stream in an infinite loop, continuously transcribing the speech.</p>
<p>This method continuously receives audio frames, performs real-time transcription, and sends
transcribed segments to the client via a WebSocket connection.</p>
<p>If the clients language is not detected, it waits for 30 seconds of audio input to make a language prediction.
It utilizes the Whisper ASR model to transcribe the audio, continuously processing and streaming results. Segments
are sent to the client in real-time, and a history of segments is maintained to provide context.Pauses in speech
(no output from Whisper) are handled by showing the previous output for a set duration. A blank segment is added if
there is no speech for a specified duration to indicate a pause.</p>
<dl class="simple">
<dt>Raises:</dt><dd><p>Exception: If there is an issue with audio processing or WebSocket communication.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.ServeClient.update_segments">
<span class="sig-name descname"><span class="pre">update_segments</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">segments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">duration</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.ServeClient.update_segments" title="Link to this definition"></a></dt>
<dd><p>Processes the segments from whisper. Appends all the segments to the list
except for the last segment assuming that it is incomplete.</p>
<p>Updates the ongoing transcript with transcribed segments, including their start and end times.
Complete segments are appended to the transcript in chronological order. Incomplete segments
(assumed to be the last one) are processed to identify repeated content. If the same incomplete
segment is seen multiple times, it updates the offset and appends the segment to the transcript.
A threshold is used to detect repeated content and ensure it is only included once in the transcript.
The timestamp offset is updated based on the duration of processed segments. The method returns the
last processed segment, allowing it to be sent to the client for real-time updates.</p>
<dl class="simple">
<dt>Args:</dt><dd><p>segments(dict) : dictionary of segments as returned by whisper
duration(float): duration of the current chunk</p>
</dd>
<dt>Returns:</dt><dd><dl class="simple">
<dt>dict or None: The last processed segment with its start time, end time, and transcribed text.</dt><dd><p>Returns None if there are no valid segments to process.</p>
</dd>
</dl>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="whisper_live.server.TranscriptionServer">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">whisper_live.server.</span></span><span class="sig-name descname"><span class="pre">TranscriptionServer</span></span><a class="headerlink" href="#whisper_live.server.TranscriptionServer" title="Link to this definition"></a></dt>
<dd><p>Represents a transcription server that handles incoming audio from clients.</p>
<dl class="simple">
<dt>Attributes:</dt><dd><p>RATE (int): The audio sampling rate (constant) set to 16000.
vad_model (torch.Module): The voice activity detection model.
vad_threshold (float): The voice activity detection threshold.
clients (dict): A dictionary to store connected clients.
websockets (dict): A dictionary to store WebSocket connections.
clients_start_time (dict): A dictionary to track client start times.
max_clients (int): Maximum allowed connected clients.
max_connection_time (int): Maximum allowed connection time in seconds.</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.TranscriptionServer.get_wait_time">
<span class="sig-name descname"><span class="pre">get_wait_time</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.TranscriptionServer.get_wait_time" title="Link to this definition"></a></dt>
<dd><p>Calculate and return the estimated wait time for clients.</p>
<dl class="simple">
<dt>Returns:</dt><dd><p>float: The estimated wait time in minutes.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.TranscriptionServer.recv_audio">
<span class="sig-name descname"><span class="pre">recv_audio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">websocket</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.TranscriptionServer.recv_audio" title="Link to this definition"></a></dt>
<dd><p>Receive audio chunks from a client in an infinite loop.</p>
<p>Continuously receives audio frames from a connected client
over a WebSocket connection. It processes the audio frames using a
voice activity detection (VAD) model to determine if they contain speech
or not. If the audio frame contains speech, it is added to the clients
audio data for ASR.
If the maximum number of clients is reached, the method sends a
“WAIT” status to the client, indicating that they should wait
until a slot is available.
If a clients connection exceeds the maximum allowed time, it will
be disconnected, and the clients resources will be cleaned up.</p>
<dl class="simple">
<dt>Args:</dt><dd><p>websocket (WebSocket): The WebSocket connection for the client.</p>
</dd>
<dt>Raises:</dt><dd><p>Exception: If there is an error during the audio frame processing.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="whisper_live.server.TranscriptionServer.run">
<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">host</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">port</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9090</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#whisper_live.server.TranscriptionServer.run" title="Link to this definition"></a></dt>
<dd><p>Run the transcription server.</p>
<dl class="simple">
<dt>Args:</dt><dd><p>host (str): The host address to bind the server.
port (int): The port number to bind the server.</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
</section>
<section id="indices-and-tables">
<span id="module-whisper_live.client"></span><h1>Indices and tables<a class="headerlink" href="#indices-and-tables" title="Link to this heading"></a></h1>
<ul class="simple">
<li><p><a class="reference internal" href="genindex.html"><span class="std std-ref">Index</span></a></p></li>
<li><p><a class="reference internal" href="py-modindex.html"><span class="std std-ref">Module Index</span></a></p></li>
<li><p><a class="reference internal" href="search.html"><span class="std std-ref">Search Page</span></a></p></li>
</ul>
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@ECHO OFF
pushd %~dp0
REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build
)
set SOURCEDIR=source
set BUILDDIR=build
%SPHINXBUILD% >NUL 2>NUL
if errorlevel 9009 (
echo.
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
echo.installed, then set the SPHINXBUILD environment variable to point
echo.to the full path of the 'sphinx-build' executable. Alternatively you
echo.may add the Sphinx directory to PATH.
echo.
echo.If you don't have Sphinx installed, grab it from
echo.https://www.sphinx-doc.org/
exit /b 1
)
if "%1" == "" goto help
%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
goto end
:help
%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
:end
popd
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# Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Project information -----------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
import os
import sys
sys.path.insert(0, os.path.abspath('../..'))
project = 'whisper_live'
copyright = '2023, Collabora'
author = 'Collabora'
# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
extensions = []
templates_path = ['_templates']
exclude_patterns = []
# -- Options for HTML output -------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
html_theme = 'alabaster'
html_static_path = ['_static']
extensions = [
'sphinx.ext.duration',
'sphinx.ext.doctest',
'sphinx.ext.autodoc',
]
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.. whisper_live documentation master file, created by
sphinx-quickstart on Fri Sep 22 11:39:30 2023.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Welcome to whisper_live's documentation!
========================================
.. toctree::
:maxdepth: 2
.. automodule:: whisper_live.server
:members:
.. automodule:: whisper_live.client
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`