Mistral Chat Agent

A Python-based chat agent using the Mistral 7B model for creative storytelling, featuring a Tkinter UI, voice input, and chat history.

Features

• Generate stories with sentiment-based tones (e.g., joyful, sad).
• Tkinter UI with dark mode, auto-scroll, and a searchable chat history sidebar.
• Voice input support using speech recognition.
• Runs offline for privacy and zero cost.

Requirements

• Python 3.x
• Libraries: tkinter, ctransformers, vaderSentiment, speech_recognition
• Mistral 7B model file: mistral-7b-instruct-v0.2.Q4_K_M.gguf

Setup

1. Install dependencies: pip install ctransformers vaderSentiment speechrecognition
2. Place the Mistral model file in the project directory.
3. Run the script: python mistral_chat_ui.py

Usage

• Enter a prompt (or use voice input) and select a word limit (100, 150, 200, 300).
• The AI generates a story, displayed in the chat window.
• Browse past chats in the sidebar.

lvjr3383/Offline-AI-Agent

Folders and files

Name	Name	Last commit message	Last commit date

Offline AI Agents

A collection of Python-based AI agents, including a Mistral 7B-based chat agent for creative storytelling and a rules-based banking assistant, both with Tkinter UI.

Features

• Mistral Chat Agent:
  • Generate stories with sentiment-based tones (e.g., joyful, sad).
  • Tkinter UI with dark mode, auto-scroll, and searchable chat history sidebar.
  • Voice input support using speech recognition.
  • Runs offline for privacy and zero cost.
• Rules-Based Chase Assistant:
  • Handles Chase FAQ questions with precision using a local FAQ file.
  • Tkinter UI with chat display, input field, and escalation options.
  • Runs offline with threading for performance.

Requirements

• Python 3.x
• Libraries:
  • tkinter (built-in)
  • ctransformers (for Mistral)
  • vaderSentiment (for Mistral sentiment)
  • speech_recognition (for Mistral voice input)
• Mistral 7B model file: mistral-7b-instruct-v0.2.Q4_K_M.gguf (for Mistral agent)

Setup

1. Install dependencies:
   • pip install ctransformers vaderSentiment speechrecognition
2. Place the Mistral model file in the project directory (for Mistral agent).
3. Run the script:
   • python mistral_chat_ui.py (for Mistral agent)
   • python chase_assistant.py (for rules-based assistant)

Usage

• Mistral Chat Agent: Enter a prompt (or use voice input), select a word limit (100, 150, 200, 300), and view the story in the chat window. Browse past chats in the sidebar.
• Rules-Based Chase Assistant: Start a chat, ask FAQ questions, and escalate if needed. Close after 25 seconds if no input.

About

A collection of offline AI agents for creative storytelling and banking assistance, built with Tkinter UI.

Releases

No releases published

Packages

No packages published

lvjr3383/Offline-AI-Agent

Folders and files

Name	Name	Last commit message	Last commit date

Offline AI Agents

A collection of Python-based AI agents, including a Mistral 7B-based chat agent for creative storytelling and a rules-based banking assistant, both with Tkinter UI.

Features

• Mistral Chat Agent:
  • Generate stories with sentiment-based tones (e.g., joyful, sad).
  • Tkinter UI with dark mode, auto-scroll, and searchable chat history sidebar.
  • Voice input support using speech recognition.
  • Runs offline for privacy and zero cost.
• Rules-Based Chase Assistant:
  • Handles Chase FAQ questions with precision using a local FAQ file.
  • Tkinter UI with chat display, input field, and escalation options.
  • Runs offline with threading for performance.

Requirements

• Python 3.x
• Libraries:
  • tkinter (built-in)
  • ctransformers (for Mistral)
  • vaderSentiment (for Mistral sentiment)
  • speech_recognition (for Mistral voice input)
• Mistral 7B model file: mistral-7b-instruct-v0.2.Q4_K_M.gguf (for Mistral agent)

Setup

1. Install dependencies:
   • pip install ctransformers vaderSentiment speechrecognition
2. Place the Mistral model file in the project directory (for Mistral agent).
3. Run the script:
   • python mistral_chat_ui.py (for Mistral agent)
   • python chase_assistant.py (for rules-based assistant)

Usage

• Mistral Chat Agent: Enter a prompt (or use voice input), select a word limit (100, 150, 200, 300), and view the story in the chat window. Browse past chats in the sidebar.
• Rules-Based Chase Assistant: Start a chat, ask FAQ questions, and escalate if needed. Close after 25 seconds if no input.

About

A collection of offline AI agents for creative storytelling and banking assistance, built with Tkinter UI.

Releases

No releases published

Packages

No packages published