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----
-title: FislacBot
-emoji: 📊
-colorFrom: blue
-colorTo: green
-sdk: gradio
-sdk_version: 5.4.0
-app_file: app.py
-pinned: false
-accelerator: gpu
----
-
-# FislacBot - AI Assistant for FISLAC Documentation
-
-FislacBot is an artificial intelligence assistant specialized in FISLAC (Fiscal Latin America and Caribbean) documentation and fiscal analysis. It uses the Llama-2-7b model with RAG (Retrieval Augmented Generation) to provide accurate responses based on official documentation.
-
-## Author
-**Camilo Vega Barbosa**
-- AI Professor and Artificial Intelligence Solutions Consultant
-- Connect with me:
-  - [LinkedIn](https://www.linkedin.com/in/camilo-vega-169084b1/)
-  - [GitHub](https://github.com/CamiloVga)
-
-## Features
-- RAG-powered responses using official FISLAC documentation
-- Interactive chat interface using Gradio
-- GPU-accelerated inference
-- Context-aware responses with source tracking
-
-## How It Works
-The application uses a sophisticated RAG system that:
-1. Processes and indexes FISLAC documentation
-2. Generates embeddings using multilingual-e5-large
-3. Uses FAISS for efficient vector storage and retrieval
-4. Combines retrieved context with Llama-2 for accurate responses
-
-## Technical Details
-- **Model**: Meta-llama/Llama-2-7b-chat-hf
-- **Embeddings**: intfloat/multilingual-e5-large
-- **Vector Store**: FAISS
-- **Framework**: Gradio
-- **Dependencies**: Managed through `requirements.txt`
-- **Device Configuration**: GPU-optimized using Accelerate
-
-## Installation
-To run this application locally:
-1. Clone the repository
-2. Install dependencies:
-   ```bash
-   pip install -r requirements.txt
-   ```
-3. Run the application:
-   ```bash
-   python app.py
-   ```
-
-## Knowledge Base
-The system is trained on:
-- Official FISLAC documentation
-- Valencia et al. (2022) - "Assessing macro-fiscal risk for Latin American and Caribbean countries"
-- Additional BID fiscal documentation
-
----
-Created by Camilo Vega Barbosa, AI Professor and Solutions Consultant. For more AI projects and collaborations, feel free to connect on [LinkedIn](https://www.linkedin.com/in/camilo-vega-169084b1/) or visit my [GitHub](https://github.com/CamiloVga).