Meet Abby and Abbot, two sides of the same coin. Abby offers emotional support and nurturing advice, while Abbot gives brutally honest and thought-provoking guidance. Both are built on the powerful Llama 2 model by Meta and serve as ideal conversational partners for individuals with varying needs.
- Purpose
- Functionality
- Technical Details
- Prerequisites
- Demo
- Getting Started
- Additional Llama 2 Models
- Further Reading
Abby is designed to provide emotional support, meaningful advice, and a positive outlook. Abbot, on the other hand, is for those seeking brutally honest, no-nonsense guidance rooted in Stoic philosophy.
- Nurturing and Patient: Offers emotionally supportive advice.
- Optimistic and Inspirational: Focuses on the silver lining.
- Affectionate Terminology: Uses terms like 'dear' or 'honey'.
- Brutally Honest Feedback: Doesn't hold back on criticisms.
- Supportive When Needed: Recognizes and encourages achievements.
- Timeless Wisdom: Provides Stoic advice tailored to your situation.
Both Abby and Abbot offer:
- Personalization: Uses your name for a more personalized interaction.
- Deep-Dive Questions: Ends interactions with thought-provoking questions.
- Language: Python
- Personalization: Extensive use of f-string formatting for dynamic interactions.
- State Management: Capable of remembering past interactions.
- Underlying Model: Built on the Llama 2 LLM model from Meta.
- Deployment: Streamlit Community Cloud
To run Abby or Abbot, you'll need the following libraries:
```bash streamlit replicate ```
Experience Abby here.
- Obtain your Replicate API token after signing up for a Replicate account.
You can also explore larger models:
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent