README.md

metadata

title: Template Final Assignment - frenchtoast.dev
emoji: 🕵🏻‍♂️
colorFrom: indigo
colorTo: indigo
sdk: gradio
sdk_version: 5.25.2
app_file: app.py
pinned: false
hf_oauth: true
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

 # remove format to deny access, use lower case.
 # formats: [html, csv, json, rss]
 formats:
   - html
   - json

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

It is launched by ttools/sst.py

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