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+ # Audio files - uncompressed
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+ ---
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+ tags:
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+ - text-to-image
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+ - lora
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+ - diffusers
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+ - template:diffusion-lora
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+ widget:
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+ - text: A person with red glowing eyes flying out of an airplane
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+ parameters:
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+ negative_prompt: 'day, rainy, cloudy '
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+ output:
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+ url: images/spotify.jpg
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+ base_model: black-forest-labs/FLUX.1-dev
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+ instance_prompt: >-
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+ help, question, ask, tell, explain, how to, assist, find, what is, where is,
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+ who is, why, guide, teach, show, calculate, define, demonstrate, describe,
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+ provide, detail, summarize, support, analyze, recommend, suggest, identify,
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+ troubleshoot, clarify, solve
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+ license: agpl-3.0
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+ ---
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+ # GPT 3.5 Turbo
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ # AI Chatbot using LangChain, LLM, and GPT-3.5 Turbo
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+
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+ 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.
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+
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+ ## Features
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+ - **Natural Language Understanding**: Leverages the powerful capabilities of GPT-3.5 Turbo for nuanced and accurate text comprehension.
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+ - **Conversational AI**: Designed to interact with users in a natural and human-like manner, understanding context and maintaining coherent dialogue.
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+ - **Versatile Applications**: Can be integrated into various applications such as customer support, virtual assistants, and interactive education tools.
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+ - **Flexible and Extensible**: Built using LangChain, allowing easy customization and expansion to meet specific needs and use cases.
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+
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+ ## Getting Started
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+
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+ ### Prerequisites
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+ - Python 3.7+
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+ - Required libraries: &#x60;langchain&#x60;, &#x60;openai&#x60;, and other dependencies listed in &#x60;requirements.txt&#x60;.
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+
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+ ### Installation
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+ 1. Clone the repository:
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+ &#x60;&#x60;&#x60;bash
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+ git clone https:&#x2F;&#x2F;github.com&#x2F;your-username&#x2F;ai-chatbot-langchain.git
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+ cd ai-chatbot-langchain
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+ &#x60;&#x60;&#x60;
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+
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+ 2. Install the dependencies:
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+ &#x60;&#x60;&#x60;bash
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+ pip install -r requirements.txt
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+ &#x60;&#x60;&#x60;
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+
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+ ### Usage
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+ 1. Obtain your OpenAI API key and set it as an environment variable:
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+ &#x60;&#x60;&#x60;bash
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+ export OPENAI_API_KEY&#x3D;&#39;your-api-key&#39;
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+ &#x60;&#x60;&#x60;
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+
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+ 2. Run the chatbot:
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+ &#x60;&#x60;&#x60;bash
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+ python chatbot.py
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+ &#x60;&#x60;&#x60;
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+
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+ ## How It Works
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+ 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.
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+
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+ ## Contributions
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+ Contributions are welcome! If you have any ideas, suggestions, or bug reports, feel free to open an issue or submit a pull request.
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+
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+ ## License
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+ This project is licensed under the GNU Affero 3.0 GP License.
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+
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+ ## Trigger words
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+
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+ You should use `help` to trigger the image generation.
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+
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+ You should use `question` to trigger the image generation.
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+
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+ You should use `ask` to trigger the image generation.
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+
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+ You should use `tell` to trigger the image generation.
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+
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+ You should use `explain` to trigger the image generation.
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+
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+ You should use `how to` to trigger the image generation.
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+
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+ You should use `assist` to trigger the image generation.
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+
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+ You should use `find` to trigger the image generation.
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+
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+ You should use `what is` to trigger the image generation.
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+
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+ You should use `where is` to trigger the image generation.
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+
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+ You should use `who is` to trigger the image generation.
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+
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+ You should use `why` to trigger the image generation.
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+
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+ You should use `guide` to trigger the image generation.
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+
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+ You should use `teach` to trigger the image generation.
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+
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+ You should use `show` to trigger the image generation.
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+
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+ You should use `calculate` to trigger the image generation.
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+
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+ You should use `define` to trigger the image generation.
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+
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+ You should use `demonstrate` to trigger the image generation.
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+ You should use `describe` to trigger the image generation.
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+ You should use `provide` to trigger the image generation.
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+
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+ You should use `detail` to trigger the image generation.
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+
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+ You should use `summarize` to trigger the image generation.
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+
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+ You should use `support` to trigger the image generation.
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+ You should use `analyze` to trigger the image generation.
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+ You should use `recommend` to trigger the image generation.
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+ You should use `suggest` to trigger the image generation.
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+ You should use `identify` to trigger the image generation.
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+ You should use `troubleshoot` to trigger the image generation.
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+ You should use `clarify` to trigger the image generation.
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+ You should use `solve` to trigger the image generation.
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+
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+
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+ ## Download model
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+
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+
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+ [Download](/lightxHF/myGenAI/tree/main) them in the Files & versions tab.