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title: FislacBot | |
emoji: π | |
colorFrom: blue | |
colorTo: green | |
sdk: gradio | |
sdk_version: 4.19.2 | |
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. | |