Spaces:
Paused
Paused
Helw150
commited on
Commit
·
94540c3
1
Parent(s):
ec083e1
Restructure
Browse files
app.py
CHANGED
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@@ -17,11 +17,12 @@ import tempfile
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from utils.vad import VadOptions, collect_chunks, get_speech_timestamps
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resampler = Audio(sampling_rate=16_000)
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@spaces.GPU(duration=20)
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@@ -44,10 +45,12 @@ def diva_audio(audio_input, do_sample=False, temperature=0.001, prev_outs=None):
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def run_vad(ori_audio, sr):
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_st = time.time()
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try:
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audio = ori_audio
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audio = audio.astype(np.float32) / 32768.0
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sampling_rate = 16000
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if sr != sampling_rate:
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@@ -76,7 +79,7 @@ def run_vad(ori_audio, sr):
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def warm_up():
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frames = np.ones(2048) # 1024 frames of 2 bytes each
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dur, frames, tcost = run_vad(frames, 16000)
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print(f"warm up done, time_cost: {tcost:.3f} s")
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@@ -97,19 +100,19 @@ class AppState:
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def determine_pause(audio: np.ndarray, sampling_rate: int, state: AppState) -> bool:
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"""Take in the stream, determine if a pause happened"""
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temp_audio = audio
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dur_vad, _, time_vad = run_vad(temp_audio, sampling_rate)
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duration = len(audio) / sampling_rate
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if dur_vad > 0.
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print("started talking")
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state.started_talking = True
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return False
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print(f"duration_after_vad: {dur_vad:.3f} s, time_vad: {time_vad:.3f} s")
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return
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def process_audio(audio: tuple, state: AppState):
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@@ -180,12 +183,9 @@ theme = gr.themes.Soft(
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with gr.Blocks(theme=theme) as demo:
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with gr.Row():
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)
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with gr.Column():
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chatbot = gr.Chatbot(label="Conversation", type="messages")
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state = gr.State(value=AppState())
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stream = input_audio.stream(
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@@ -206,5 +206,5 @@ with gr.Blocks(theme=theme) as demo:
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cancels=[respond, stream],
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)
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demo.launch()
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from utils.vad import VadOptions, collect_chunks, get_speech_timestamps
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if gr.NO_RELOAD:
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diva_model = AutoModel.from_pretrained(
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"WillHeld/DiVA-llama-3-v0-8b", trust_remote_code=True
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)
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resampler = Audio(sampling_rate=16_000)
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@spaces.GPU(duration=20)
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)
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def run_vad(ori_audio, sr, duration):
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_st = time.time()
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try:
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audio = ori_audio
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if duration < 1:
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return -1, ori_audio, round(time.time() - _st, 4)
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audio = audio.astype(np.float32) / 32768.0
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sampling_rate = 16000
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if sr != sampling_rate:
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def warm_up():
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frames = np.ones(2048) # 1024 frames of 2 bytes each
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dur, frames, tcost = run_vad(frames, 16000, 10)
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print(f"warm up done, time_cost: {tcost:.3f} s")
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def determine_pause(audio: np.ndarray, sampling_rate: int, state: AppState) -> bool:
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"""Take in the stream, determine if a pause happened"""
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temp_audio = audio[-2 * sampling_rate :]
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duration = len(audio) / sampling_rate
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dur_vad, _, time_vad = run_vad(temp_audio, sampling_rate, duration)
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if dur_vad > 0.25 and not state.started_talking:
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print("started talking")
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state.started_talking = True
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return False
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print(f"duration_after_vad: {dur_vad:.3f} s, time_vad: {time_vad:.3f} s")
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return dur_vad < 0.5
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def process_audio(audio: tuple, state: AppState):
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with gr.Blocks(theme=theme) as demo:
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with gr.Row():
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input_audio = gr.Audio(label="Input Audio", sources="microphone", type="numpy")
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with gr.Row():
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chatbot = gr.Chatbot(label="Conversation", type="messages")
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state = gr.State(value=AppState())
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stream = input_audio.stream(
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cancels=[respond, stream],
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)
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if __name__ == "__main__":
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demo.launch()
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