Showing 12 open source projects for "jcaptcha-api"

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  • 1
    DocsGPT

    DocsGPT

    Private AI agents, assistants and search over your own documents

    ...Install with one line (curl -fsSL https://docs.ac/install | bash), or deploy with Docker Compose or Kubernetes, including fully air-gapped. Ships an OpenAI-compatible API, an MCP server, a chat widget, OIDC SSO, SCIM, guardrails and an audit log.
    Downloads: 8 This Week
    Last Update:
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  • 2
    terminalGPT

    terminalGPT

    Get GPT like ChatGPT on your terminal

    Get GPT like ChatGPT on your terminal Note: This doesn't use OpenAI ChatGPT, it uses text-davinci-003 model (by default) You'll need to have your own OpenAi apikey to operate this package. 1. Go to https://beta.openai.com 2. Select you profile menu and go to View API Keys 3. Select + Create new secret key 4. Copy generated key Get started: Using tgpt: npm -g install terminalgpt or yarn global add terminalgpt Run tgpt chat ps.: If it is your first time running it, it will ask for open AI key , paste generated key from pre-requisite steps
    Downloads: 3 This Week
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  • 3
    Node.js Client For NLP Cloud

    Node.js Client For NLP Cloud

    NLP Cloud serves high performance pre-trained or custom models

    ...It is ready for production, and served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.
    Downloads: 0 This Week
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  • 4
    node-red-contrib-custom-chatgpt
    ...Install with the built-in Node-RED Palette manager. When editing the properties of the node, to get your OPENAI_API_KEY log in to ChatGPT. Create a new secret key" then copy and paste the "API key" into the node API_KEY property value. msg.payload should be a well-written prompt that provides enough information for the model to know what you want and how it should respond. Its success generally depends on the complexity of the task and quality of your prompt. A good rule of thumb is to think about how you would write a word problem for a middle schooler to solve. msg.payload should be a well-written prompt that provides enough information for the model to know what you want and how it should respond.
    Downloads: 1 This Week
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  • 5
    KoboldCpp

    KoboldCpp

    Run GGUF models easily with a UI or API. One File. Zero Install.

    KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, inspired by the original KoboldAI. It's a single self-contained distributable that builds off llama.cpp and adds many additional powerful features.
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    Downloads: 418 This Week
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  • 6
    ChatAnyLLM

    ChatAnyLLM

    Unified interface for local model, cloud provider, and custom agent.

    ChatAnyLLM is a desktop GUI application for local inference engines (Ollama, LM Studio, OpenClaw) and cloud providers like OpenRouter. Users may manually configure any OpenAI-compatible API endpoint, connecting third-party providers such as Groq or Cerebras. The application stores conversation history locally and saves api keys with system-level encryption. It supports reasoning models, multimodal inputs, and formatting for LaTeX and code.
    Downloads: 0 This Week
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  • 7
    GPT AI Assistant

    GPT AI Assistant

    OpenAI + LINE + Vercel = GPT AI Assistant

    GPT AI Assistant is an application that is implemented using the OpenAI API and LINE Messaging API. Through the installation process, you can start chatting with your own AI assistant using the LINE mobile app.
    Downloads: 0 This Week
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  • 8
    Basaran

    Basaran

    Basaran, an open-source alternative to the OpenAI text completion API

    Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models. The open source community will eventually witness the Stable Diffusion moment for large language models (LLMs), and Basaran allows you to replace OpenAI's service with the latest open-source model to power your application without modifying a single line of code.
    Downloads: 0 This Week
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  • 9
    ChatGPT UI

    ChatGPT UI

    A ChatGPT web client that supports multiple users, and databases

    A ChatGPT web client that supports multiple users, multiple database connections for persistent data storage, supports i18n. Provides Docker images and quick deployment scripts. Support gpt-4 model. You can select the model in the "Model Parameters" of the front-end. The GPT-4 model requires whitelist access from OpenAI. Added web search capability to generate more relevant and up-to-date answers from ChatGPT! This feature is off by default, you can turn it on in `Chat->Settings` in the...
    Downloads: 8 This Week
    Last Update:
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  • 10
    Node ChatGPT API

    Node ChatGPT API

    A client implementation for ChatGPT and Bing AI

    A client implementation for ChatGPT and Bing AI. Available as a Node.js module, REST API server, and CLI app. Support for the official ChatGPT model has been added! You can now use the gpt-3.5-turbo model with the official OpenAI API, using ChatGPTClient. This is the same model that ChatGPT uses, and it's the most powerful model available right now. Usage of this model is not free, however it is 10x cheaper than text-davinci-003.
    Downloads: 0 This Week
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  • 11
    OpenAI Web Application

    OpenAI Web Application

    A web application that allows users to interact with OpenAI's models

    A web application that allows users to interact with OpenAI's modles through a simple and user-friendly interface. This app is for demo purpose to test OpenAI API and may contain issues/bugs. User-friendly interface for making requests to the OpenAI API. Responses are displayed in a chat-like format. Select Models (Davinci, Codex, DALL·E, Whisper) based on your needs. Create AI Images (DALL·E). Audio-Text Transcribe (Whisper). Highlight code syntax. Type in the input field and press enter or click on the send button to make a request to the OpenAI API. ...
    Downloads: 6 This Week
    Last Update:
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  • 12
    Text2Video

    Text2Video

    Software tool that converts text to video for more engaging experience

    ...I plan to further work on the project targeting young college students who are aged between 18 to 23 because they tend to prefer learning through videos over books based on the survey I found. The technologies I used for the project are HTML, CSS, Javascript, Node.js, CCapture.js, ffmpegserver.js, Amazon Polly, Python, Flask, gevent, spaCy, and Pixabay API.
    Downloads: 3 This Week
    Last Update:
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