README.md

---
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

<Gallery />

## 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: &#x60;langchain&#x60;, &#x60;openai&#x60;, and other dependencies listed in &#x60;requirements.txt&#x60;.

### Installation
1. Clone the repository:
   &#x60;&#x60;&#x60;bash
   git clone https:&#x2F;&#x2F;github.com&#x2F;your-username&#x2F;ai-chatbot-langchain.git
   cd ai-chatbot-langchain
   &#x60;&#x60;&#x60;

2. Install the dependencies:
   &#x60;&#x60;&#x60;bash
   pip install -r requirements.txt
   &#x60;&#x60;&#x60;

### Usage
1. Obtain your OpenAI API key and set it as an environment variable:
   &#x60;&#x60;&#x60;bash
   export OPENAI_API_KEY&#x3D;&#39;your-api-key&#39;
   &#x60;&#x60;&#x60;

2. Run the chatbot:
   &#x60;&#x60;&#x60;bash
   python chatbot.py
   &#x60;&#x60;&#x60;

## 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](/lightxHF/myGenAI/tree/main) them in the Files & versions tab.