mirror of
https://github.com/FunAudioLLM/CosyVoice.git
synced 2026-02-04 09:29:25 +08:00
fix lint
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@@ -168,10 +168,10 @@ class CosyVoiceFrontEnd:
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speech_token, speech_token_len[:] = speech_token[:, :token_len], token_len
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embedding = self._extract_spk_embedding(prompt_speech_16k)
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model_input = {'prompt_text': prompt_text_token, 'prompt_text_len': prompt_text_token_len,
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'llm_prompt_speech_token': speech_token, 'llm_prompt_speech_token_len': speech_token_len,
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'flow_prompt_speech_token': speech_token, 'flow_prompt_speech_token_len': speech_token_len,
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'prompt_speech_feat': speech_feat, 'prompt_speech_feat_len': speech_feat_len,
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'llm_embedding': embedding, 'flow_embedding': embedding}
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'llm_prompt_speech_token': speech_token, 'llm_prompt_speech_token_len': speech_token_len,
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'flow_prompt_speech_token': speech_token, 'flow_prompt_speech_token_len': speech_token_len,
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'prompt_speech_feat': speech_feat, 'prompt_speech_feat_len': speech_feat_len,
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'llm_embedding': embedding, 'flow_embedding': embedding}
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else:
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model_input = self.spk2info[zero_shot_spk_id]
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model_input['text'] = tts_text_token
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@@ -72,6 +72,7 @@ async def inference_instruct(tts_text: str = Form(), spk_id: str = Form(), instr
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model_output = cosyvoice.inference_instruct(tts_text, spk_id, instruct_text)
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return StreamingResponse(generate_data(model_output))
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@app.get("/inference_instruct2")
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@app.post("/inference_instruct2")
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async def inference_instruct2(tts_text: str = Form(), instruct_text: str = Form(), prompt_wav: UploadFile = File()):
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@@ -80,7 +81,6 @@ async def inference_instruct2(tts_text: str = Form(), instruct_text: str = Form(
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return StreamingResponse(generate_data(model_output))
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('--port',
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@@ -98,4 +98,4 @@ if __name__ == '__main__':
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cosyvoice = CosyVoice2(args.model_dir)
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except Exception:
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raise TypeError('no valid model_type!')
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uvicorn.run(app, host="0.0.0.0", port=args.port)
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uvicorn.run(app, host="0.0.0.0", port=args.port)
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