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Update app.py
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app.py
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@@ -1,29 +1,31 @@
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import os
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import asyncio
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from fastapi import FastAPI
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from pydantic import BaseModel
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from langchain_nvidia_ai_endpoints import ChatNVIDIA
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from browser_use import Agent
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from playwright.async_api import async_playwright
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app = FastAPI()
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class TaskRequest(BaseModel):
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task: str
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@app.post("/run")
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async def run_task(request: TaskRequest):
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api_key = os.environ.get("NVIDIA_API_KEY")
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# Настройка Llama 405B
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llm = ChatNVIDIA(
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model="meta/llama-3.1-405b-instruct",
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nvidia_api_key=api_key,
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temperature=0.1
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)
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#
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agent = Agent(
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task=request.task,
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llm=llm
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@@ -31,14 +33,12 @@ async def run_task(request: TaskRequest):
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result = await agent.run()
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# Возвращаем результат в n8n
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return {
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"status": "
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"
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"history": str(result.history)
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}
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# Чтобы Hugging Face не "засыпал" и открывал порт
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=7860)
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import os
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import asyncio
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from fastapi import FastAPI
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from pydantic import BaseModel
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from langchain_nvidia_ai_endpoints import ChatNVIDIA
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from browser_use import Agent
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app = FastAPI()
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class TaskRequest(BaseModel):
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task: str
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@app.get("/")
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def read_root():
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return {"status": "Browser AI is running", "api_endpoint": "/run"}
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@app.post("/run")
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async def run_task(request: TaskRequest):
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# Берем ключ из секретов HF
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api_key = os.environ.get("NVIDIA_API_KEY")
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llm = ChatNVIDIA(
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model="meta/llama-3.1-405b-instruct",
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nvidia_api_key=api_key,
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temperature=0.1
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)
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# browser-use сам найдет запущенный xvfb дисплей
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agent = Agent(
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task=request.task,
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llm=llm
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result = await agent.run()
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return {
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"status": "done",
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"answer": result.final_result()
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}
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if __name__ == "__main__":
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import uvicorn
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# Порт 7860 обязателен для HF
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uvicorn.run(app, host="0.0.0.0", port=7860)
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