martsforever
37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
from fastapi import FastAPI
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from langchain.chat_models import init_chat_model
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from langserve import add_routes
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from app.utils.llm_utils import create_llm
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def add_test_route(app: FastAPI):
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@app.get("/chat")
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async def chat():
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model_qwen = create_llm(platform_code='bailian-qwen-turbo')
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model_qwen_output = model_qwen.invoke("你好，你是谁").content
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print(f"model_qwen output: {model_qwen_output}")
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model_doubao = create_llm(platform_code='huoshan-doubao')
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model_doubao_output = model_doubao.invoke("你好，你是谁").content
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print(f"model_doubao output: {model_doubao_output}")
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return {
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"model_qwen_output": model_qwen_output,
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"model_doubao_output": model_doubao_output
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}
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# Edit this to add the chain you want to add
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# add_routes(app, NotImplemented)
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model = init_chat_model(
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model="doubao-1-5-pro-32k-250115", # 你的模型名
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model_provider="openai", # 必须填 openai（兼容协议）
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base_url="https://ark.cn-beijing.volces.com/api/v3/", # 你的自定义 API URL
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api_key="b1e7c7e0-33af-480e-b0a8-2812ba97f7b1", # 本地模型随便填
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temperature=0.7,
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streaming=False
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)
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add_routes(app=app, runnable=model, path="/doubao")
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