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myGenAI

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metadata
tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
widget:
  - text: A person with red glowing eyes flying out of an airplane
    parameters:
      negative_prompt: 'day, rainy, cloudy '
    output:
      url: images/spotify.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: >-
  help, question, ask, tell, explain, how to, assist, find, what is, where is,
  who is, why, guide, teach, show, calculate, define, demonstrate, describe,
  provide, detail, summarize, support, analyze, recommend, suggest, identify,
  troubleshoot, clarify, solve
license: agpl-3.0

GPT 3.5 Turbo

Prompt
A person with red glowing eyes flying out of an airplane
Negative Prompt
day, rainy, cloudy

Model description

AI Chatbot using LangChain, LLM, and GPT-3.5 Turbo

Welcome to the repository for our cutting-edge AI Chatbot, built using LangChain, LLM (Large Language Models), and powered by GPT-3.5 Turbo. This project aims to provide an engaging, conversational AI experience that can assist users with a wide range of tasks, from answering questions to offering recommendations and more.

Features

  • Natural Language Understanding: Leverages the powerful capabilities of GPT-3.5 Turbo for nuanced and accurate text comprehension.
  • Conversational AI: Designed to interact with users in a natural and human-like manner, understanding context and maintaining coherent dialogue.
  • Versatile Applications: Can be integrated into various applications such as customer support, virtual assistants, and interactive education tools.
  • Flexible and Extensible: Built using LangChain, allowing easy customization and expansion to meet specific needs and use cases.

Getting Started

Prerequisites

  • Python 3.7+
  • Required libraries: `langchain`, `openai`, and other dependencies listed in `requirements.txt`.

Installation

  1. Clone the repository: ```bash git clone https://github.com/your-username/ai-chatbot-langchain.git cd ai-chatbot-langchain ```

  2. Install the dependencies: ```bash pip install -r requirements.txt ```

Usage

  1. Obtain your OpenAI API key and set it as an environment variable: ```bash export OPENAI_API_KEY='your-api-key' ```

  2. Run the chatbot: ```bash python chatbot.py ```

How It Works

This AI chatbot is powered by GPT-3.5 Turbo, utilizing the LangChain framework to manage and process conversational flows. The chatbot understands user inputs, processes them using advanced language models, and generates relevant and coherent responses.

Contributions

Contributions are welcome! If you have any ideas, suggestions, or bug reports, feel free to open an issue or submit a pull request.

License

This project is licensed under the GNU Affero 3.0 GP License.

Trigger words

You should use help to trigger the image generation.

You should use question to trigger the image generation.

You should use ask to trigger the image generation.

You should use tell to trigger the image generation.

You should use explain to trigger the image generation.

You should use how to to trigger the image generation.

You should use assist to trigger the image generation.

You should use find to trigger the image generation.

You should use what is to trigger the image generation.

You should use where is to trigger the image generation.

You should use who is to trigger the image generation.

You should use why to trigger the image generation.

You should use guide to trigger the image generation.

You should use teach to trigger the image generation.

You should use show to trigger the image generation.

You should use calculate to trigger the image generation.

You should use define to trigger the image generation.

You should use demonstrate to trigger the image generation.

You should use describe to trigger the image generation.

You should use provide to trigger the image generation.

You should use detail to trigger the image generation.

You should use summarize to trigger the image generation.

You should use support to trigger the image generation.

You should use analyze to trigger the image generation.

You should use recommend to trigger the image generation.

You should use suggest to trigger the image generation.

You should use identify to trigger the image generation.

You should use troubleshoot to trigger the image generation.

You should use clarify to trigger the image generation.

You should use solve to trigger the image generation.

Download model

Download them in the Files & versions tab.