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--- |
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title: Template Final Assignment - frenchtoast.dev |
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emoji: 🕵🏻♂️ |
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colorFrom: indigo |
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colorTo: indigo |
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sdk: gradio |
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sdk_version: 5.25.2 |
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app_file: app.py |
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pinned: false |
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hf_oauth: true |
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hf_oauth_expiration_minutes: 480 |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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# HF agent course final assigment |
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## local running |
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Create a venv |
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Install requirements |
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create a .env file (see env.example) |
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start with `python app.py` |
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DuckDuckGo and GoogleSearch have too many rate limit, |
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This code assume that a local running instance of searxng is on http://localhost:8888 |
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On windows run it with: |
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``` |
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$PORT=8888 |
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docker run --rm ` |
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-p ${PORT}:8080 ` |
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-v "${PWD}/etcsearxng:/etc/searxng" ` |
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-e "BASE_URL=http://localhost:$PORT/" ` |
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-e "INSTANCE_NAME=my-instance" ` |
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-d searxng/searxng |
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``` |
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be sure to allow the json format in /etc/seraxng/settings.yml |
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``` |
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# remove format to deny access, use lower case. |
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# formats: [html, csv, json, rss] |
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formats: |
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- html |
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- json |
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``` |
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For the same reason, for my tool for text to speech I locally run a speech to text docker image running whisper.cpp |
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whith ffmpeg installed for mp3 > wav conversion |
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It is launched by ttools/sst.py |
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And if I really have no longer any available token on openai or gemini, I can run a VLLM instance. |
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## Instrumentation |
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Instrumentation is enabled, |
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an done locally with (Arize-ai phoenix)[https://github.com/Arize-ai/phoenix] |
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a server is launched with: |
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``` |
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python -m phoenix.server.main serve |
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``` |
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and can be consulted on: http://127.0.0.1:6006 |
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