MathFrenchToast's picture
feat: reach 35% so pass the test with the xagent
5675d05
---
title: Template Final Assignment - frenchtoast.dev
emoji: πŸ•΅πŸ»β€β™‚οΈ
colorFrom: indigo
colorTo: indigo
sdk: gradio
sdk_version: 5.25.2
app_file: app.py
pinned: false
hf_oauth: true
# optional, default duration is 8 hours/480 minutes. Max duration is 30 days/43200 minutes.
hf_oauth_expiration_minutes: 480
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
# HF agent course final assigment
## local running
Create a venv
Install requirements
create a .env file (see env.example)
start with `python app.py`
DuckDuckGo and GoogleSearch have too many rate limit,
This code assume that a local running instance of searxng is on http://localhost:8888
On windows run it with:
$PORT=8888
docker run --rm `
-p ${PORT}:8080 `
-v "${PWD}/etcsearxng:/etc/searxng" `
-e "BASE_URL=http://localhost:$PORT/" `
-e "INSTANCE_NAME=my-instance" `
-d searxng/searxng
be sure to allow the json format in /etc/seraxng/settings.yml
For the same reason, for my tool for text to speech I locally run a speech to text docker image running whisper.cpp
whith ffmpeg installed for mp3 > wav conversion
And if I really have no longer any available token on openai or gemini, I can run a VLLM instance.
## Instrumentation
Instrumentation is enabled,
an done locally with (Arize-ai phoenix)[https://github.com/Arize-ai/phoenix]
a server is launched with:
python -m phoenix.server.main serve
and can be consulted on: http://127.0.0.1:6006