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| title: FislacBot | |
| emoji: 📊 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.6.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| app_port: 7860 | |
| docker_user: root | |
| base_path: /app | |
| 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: | |
| GitHub | |
| 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: | |
| Processes and indexes FISLAC documentation | |
| Generates embeddings using multilingual-e5-large | |
| Uses FAISS for efficient vector storage and retrieval | |
| 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: | |
| Clone the repository | |
| Install dependencies: | |
| bashCopypip install -r requirements.txt | |
| Run the application: | |
| bashCopypython 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 or visit my GitHub. |