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refine TTS (#2500)
### What problem does this PR solve? ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
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@ -228,8 +228,9 @@ def tts():
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def stream_audio():
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try:
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for chunk in tts_mdl.tts(text):
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yield chunk
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for txt in re.split(r"[,。/《》?;:!\n\r:;]+", text):
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for chunk in tts_mdl.tts(txt):
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yield chunk
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except Exception as e:
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yield ("data:" + json.dumps({"retcode": 500, "retmsg": str(e),
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"data": {"answer": "**ERROR**: " + str(e)}},
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@ -93,24 +93,27 @@ def set_api_key():
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if msg:
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return get_data_error_result(retmsg=msg)
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llm = {
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llm_config = {
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"api_key": req["api_key"],
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"api_base": req.get("base_url", "")
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}
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for n in ["model_type", "llm_name"]:
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if n in req:
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llm[n] = req[n]
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llm_config[n] = req[n]
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if not TenantLLMService.filter_update(
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[TenantLLM.tenant_id == current_user.id, TenantLLM.llm_factory == factory], llm):
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for llm in LLMService.query(fid=factory):
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for llm in LLMService.query(fid=factory):
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if not TenantLLMService.filter_update(
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[TenantLLM.tenant_id == current_user.id,
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TenantLLM.llm_factory == factory,
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TenantLLM.llm_name == llm.llm_name],
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llm_config):
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TenantLLMService.save(
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tenant_id=current_user.id,
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llm_factory=factory,
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llm_name=llm.llm_name,
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model_type=llm.model_type,
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api_key=req["api_key"],
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api_base=req.get("base_url", "")
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api_key=llm_config["api_key"],
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api_base=llm_config["api_base"]
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)
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return get_json_result(data=True)
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@ -161,6 +161,7 @@ class QwenTTS(Base):
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class OpenAITTS(Base):
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def __init__(self, key, model_name="tts-1", base_url="https://api.openai.com/v1"):
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if not base_url: base_url="https://api.openai.com/v1"
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self.api_key = key
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self.model_name = model_name
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self.base_url = base_url
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@ -181,6 +182,6 @@ class OpenAITTS(Base):
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if response.status_code != 200:
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raise Exception(f"**Error**: {response.status_code}, {response.text}")
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for chunk in response.iter_content(chunk_size=1024):
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for chunk in response.iter_content():
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if chunk:
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yield chunk
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