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update streaming
Browse files- README.md +1 -1
- app.py +18 -15
- audio_streaming_client.py +128 -0
README.md
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@@ -4,7 +4,7 @@ emoji: π
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colorFrom: yellow
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colorTo: purple
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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license: apache-2.0
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colorFrom: yellow
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colorTo: purple
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sdk: gradio
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sdk_version: 5.0.0b3
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app_file: app.py
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pinned: false
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license: apache-2.0
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app.py
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import gradio as gr
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if test is not None:
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print(len(test))
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print(test[0])
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print(len(test[1]))
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print(test[1])
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else:
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print("test is None")
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return audio, test
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demo.launch()
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import gradio as gr
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from audio_streaming_client import AudioStreamingClient
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audio_streaming_client = AudioStreamingClient()
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audio_streaming_client.start()
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def stream_audio(audio):
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sample_rate = audio[0]
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audio_streaming_client.put_audio(audio[1], sample_rate)
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output_size = len(audio[1])
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output_audio = audio_streaming_client.get_audio(sample_rate, output_size)
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return (sample_rate, output_audio)
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with gr.Blocks() as demo:
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gr.Markdown("# Speech to speech in an inference endpoint π€")
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inp = gr.Audio(sources=["microphone"], type="numpy")
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out = gr.Audio(streaming=True, autoplay=True)
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inp.stream(stream_audio, inp, out, time_limit=600, stream_every=1)
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demo.launch()
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audio_streaming_client.py
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import threading
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from queue import Queue, Empty
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import numpy as np
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import requests
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import base64
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import time
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from dataclasses import dataclass, field
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import websocket
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import threading
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import ssl
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import librosa
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import os
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class AudioStreamingClient:
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def __init__(self):
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self.auth_token = os.environ.get("HF_AUTH_TOKEN", None)
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self.api_url = os.environ.get("HF_API_URL", None)
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self.stop_event = threading.Event()
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self.send_queue = Queue()
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self.recv_queue = Queue()
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self.session_id = None
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self.headers = {
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"Accept": "application/json",
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"Authorization": f"Bearer {self.auth_token}",
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"Content-Type": "application/json"
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}
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self.session_state = "idle" # Possible states: idle, sending, processing, waiting
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self.ws_ready = threading.Event()
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def start(self):
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print("Starting audio streaming...")
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ws_url = self.api_url.replace("http", "ws") + "/ws"
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self.ws = websocket.WebSocketApp(
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ws_url,
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header=[f"{key}: {value}" for key, value in self.headers.items()],
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on_open=self.on_open,
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on_message=self.on_message,
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on_error=self.on_error,
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on_close=self.on_close
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)
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self.ws_thread = threading.Thread(target=self.ws.run_forever, kwargs={'sslopt': {"cert_reqs": ssl.CERT_NONE}})
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self.ws_thread.start()
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# Wait for the WebSocket to be ready
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self.ws_ready.wait()
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self.send_thread = threading.Thread(target=self.send_audio)
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self.send_thread.start()
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def on_close(self):
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self.stop_event.set()
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self.send_thread.join()
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self.ws.close()
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self.ws_thread.join()
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print("Audio streaming stopped.")
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def on_open(self, ws):
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print("WebSocket connection opened.")
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self.ws_ready.set() # Signal that the WebSocket is ready
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def on_message(self, ws, message):
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# message is bytes
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if message == b'DONE':
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print("listen")
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self.session_state = "listen"
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else:
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print("processing")
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self.session_state = "processing"
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audio_np = np.frombuffer(message, dtype=np.int16)
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self.recv_queue.put(audio_np)
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def on_error(self, ws, error):
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print(f"WebSocket error: {error}")
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def on_close(self, ws, close_status_code, close_msg):
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print("WebSocket connection closed.")
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def send_audio(self):
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while not self.stop_event.is_set():
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if not self.send_queue.empty():
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chunk = self.send_queue.get()
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if self.session_state != "processing":
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self.ws.send(chunk.tobytes(), opcode=websocket.ABNF.OPCODE_BINARY)
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else:
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self.ws.send([], opcode=websocket.ABNF.OPCODE_BINARY) # handshake
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time.sleep(0.01)
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def put_audio(self, chunk, sample_rate):
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chunk = np.clip(chunk, -32768, 32767).astype(np.int16)
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chunk = chunk.astype(np.float32) / 32768.0
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chunk = librosa.resample(chunk, orig_sr=48000, target_sr=16000)
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chunk = (chunk * 32768.0).astype(np.int16)
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self.send_queue.put(chunk)
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def get_audio(self, sample_rate, output_size):
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output_chunk = np.array([], dtype=np.int16)
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output_sample_rate = 16000
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output_chunk_size = int(output_size*output_sample_rate/sample_rate)
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while output_chunk.size < output_chunk_size:
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try:
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self.ws.send([], opcode=websocket.ABNF.OPCODE_BINARY) # handshake
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chunk = self.recv_queue.get(timeout=0.1)
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except Empty:
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chunk = None
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if chunk is not None:
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# Ensure chunk is int16 and clip to valid range
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chunk_int16 = np.clip(chunk, -32768, 32767).astype(np.int16)
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output_chunk = np.concatenate([output_chunk, chunk_int16])
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else:
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print("padding chunk of size ", len(output_chunk))
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output_chunk = np.pad(output_chunk, (0, output_chunk_size - len(output_chunk)))
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output_chunk = output_chunk.astype(np.float32) / 32768.0
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output_chunk = librosa.resample(output_chunk, orig_sr=output_sample_rate, target_sr=sample_rate)
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output_chunk = (output_chunk * 32768.0).astype(np.int16)
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print("output_chunk size: ", len(output_chunk))
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output_chunk = output_chunk[:output_size]
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return np.pad(output_chunk, (0, output_size - len(output_chunk)))
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if __name__ == "__main__":
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client = AudioStreamingClient()
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client.start()
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