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## 📁 Project structure
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. ├── app.py # Streamlit app ├── requirements.txt # Required packages ├── Models/ # Fine-tuned models (Técnico + Social) └── Statistics/ # Logs generated on user interaction (not persistent)
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---
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## 📊 Logging
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All interactions are logged locally in the `Statistics/` folder as `.csv` and `.jsonl` files.
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*Note: Hugging Face Spaces do not persist these files between restarts.*
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---
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## 👤 Author
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Created by **[hazutecuhtli](https://huggingface.co/hazutecuhtli)**
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PhD in Electronic Engineering, passionate about data, modeling, and sharing knowledge.
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---
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## 💡 Future Plans
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- Add model explanation outputs
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- Enable user-uploaded datasets
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- Connect logs to Google Sheets for persistent stats
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---
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title: Mori Bot
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emoji: 🤖
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colorFrom: indigo
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colorTo: purple
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sdk: streamlit
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app_file: app.py
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pinned: false
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---
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# Mori Bot
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Mori es un asistente conversacional de ciencia de datos y aprendizaje automático.
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Este MVP incluye dos modelos: uno técnico y otro social, entrenados específicamente para resolver dudas técnicas y tener conversaciones amigables.
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## 🧠 Modelos
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- [`tecuhtli/mori-tecnico-model`](https://huggingface.co/tecuhtli/mori-tecnico-model)
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- [`tecuhtli/mori-social-model`](https://huggingface.co/tecuhtli/mori-social-model)
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## 🚀 Cómo usar
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Escribe una pregunta técnica o informal en el input y Mori te contestará automáticamente.
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## ✨ Hecho por
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[**@tecuhtli**](https://huggingface.co/tecuhtli) con ayuda de GTRzilla 🦖
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