Complementa Arquitectura. Referencias al cΓ³digo apuntan a
developen GitHub.
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| #!/usr/bin/env bash | |
| # Android phone as webcam for Linux via scrcpy + v4l2loopback. | |
| # | |
| # Initial setup recap: | |
| # 1. Install build/runtime dependencies if needed: | |
| # sudo apt install ffmpeg libsdl2-2.0-0 adb wget \ | |
| # gcc git pkg-config meson ninja-build libsdl2-dev \ | |
| # libavcodec-dev libavdevice-dev libavformat-dev libavutil-dev \ | |
| # libswresample-dev libusb-1.0-0 libusb-1.0-0-dev \ |
Este proyecto existe para probar consultas sobre Datos Abiertos de Argentina usando CKAN MCP con el menor nivel posible de alucinaciΓ³n.
La prioridad es:
- responder sΓ³lo con evidencia trazable a datasets y recursos concretos;
- distinguir claramente entre hechos observados, cΓ³mputos derivados e inferencias;
- rechazar o limitar respuestas cuando el portal no alcance para sostenerlas.
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| # /// script | |
| # requires-python = ">=3.12" | |
| # dependencies = [ | |
| # "tl-parser==0.7.11", | |
| # "beautifulsoup4", | |
| # "lxml", | |
| # "pyquery", | |
| # "matplotlib", | |
| # ] | |
| # |
$ llm \
--schema '{
"type": "object",
"properties": {
"customer": {
"type": "string",
"description": "Nombre del cliente"
},
"items": {
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| """ | |
| Este es un traductor jerigonzo en Python que hicimos con mi hija Ema, | |
| basado en su solucion del desafio de Pilas Bloques que ella implementΓ³ | |
| https://pilasbloques.program.ar/online/#/desafio/254 | |
| Ejemplo: | |
| $ python traductor_jerigonzo.py papi te quiero mucho | |
| papapipi tepe qupuipieperopo mupuchopo |
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| # Nothing to see here ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | |
| But, damn, it sure is a catchy rhythm. | |
| ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
Este bot de demostraciΓ³n usa python-telegram-bot para ofrecer una interacciΓ³n sencilla con mensajes de audio.
- Comando
/start: responde con un saludo para confirmar que el bot estΓ‘ disponible. - Comando
/audio: envΓa el archivoaudio.mp3ubicado junto abot.pycomo un adjunto reproducible. - RecepciΓ³n de audio o notas de voz: cada vez que llega un mensaje de voz o un archivo de audio, el bot lo guarda en
/tmpcon un nombre que incluye el ID del chat, el ID del mensaje y el identificador ΓΊnico del archivo, y responde confirmando la operaciΓ³n.
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