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title: Template Final Assignment - frenchtoast.dev | |
emoji: π΅π»ββοΈ | |
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 | |