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use onnx models, new deepdoc (#68)

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KevinHuSh
2024-02-21 16:32:38 +08:00
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parent 8c4ec9955e
commit cacd36c5e1
26 changed files with 8730 additions and 136 deletions
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api/apps/conversation_app.py
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@ -198,7 +198,7 @@ def chat(dialog, messages, **kwargs):
return {"answer": prompt_config["empty_response"], "retrieval": kbinfos}
kwargs["knowledge"] = "\n".join(knowledges)
gen_conf = dialog.llm_setting[dialog.llm_setting_type]
gen_conf = dialog.llm_setting
msg = [{"role": m["role"], "content": m["content"]} for m in messages if m["role"] != "system"]
used_token_count, msg = message_fit_in(msg, int(llm.max_tokens * 0.97))
if "max_tokens" in gen_conf: