/gemini-ai-rust

Access Gemini AI Models in Rust

Primary LanguageRustMIT LicenseMIT

Gemini AI Rust Wrapper

Welcome to the Rust Gemini AI! This crate provides a Rust interface to interact with the Gemini AI API, which powers advanced natural language processing (NLP) and multimodal capabilities.

License Gemini AI Logo

New Feature Added

  • Added Rag Concept Model

  • Added Pdf,Audio,Video Uploading feature

  • MaxTokenLimit Based Response

  • Instruction Based Response

Previous New Feature Added

  • MaxTokenLimit Based Response

  • Instruction Based Response

Features

  • Instruction Processing: Based on instruction customize the response in the way you like.
  • Natural Language Processing: Access powerful language models like Gemini 1.5 Pro for advanced text analysis, summarization, and generation.
  • Multimodal Capabilities: Interact with Gemini models that can handle not only text but also images, audio,pdf, and video inputs.
  • Easy Integration: A straightforward API wrapper for easy integration into your Rust projects.

Installation

To add this crate to your project, include it in your Cargo.toml:

   [dependencies]
   gemini-ai = "0.1.167"
       let builder = Gemini::new()
        .env("GEMINI_API_KEY")
        .model(gemini_ai::Models::GEMINI_1_5_PRO_002)
        // .memory(gemini_ai::Memorys::Json)
        .no_memory()
        .kind(gemini_ai::Kind::Image("statics/OIP.jpeg"))
        .instruction("")
        .text("hi tell character name")
        .max_token(gemini_ai::TokenLen::Default)
        .build()
        .output();

   let string = decode_gemini(&builder); // optional to decode the output if it sends the reponse else error
        let builder = Gemini::new()
        .env("GEMINI_API_KEY")
        .model(gemini_ai::Models::GEMINI_1_5_PRO_002)
        // .memory(gemini_ai::Memorys::Json)
        .no_memory()
        .kind(gemini_ai::Kind::Audio("statics/OIP.mpeg"))
        .instruction("tell hi")
        .text("hi tell character name")
        .max_token(gemini_ai::TokenLen::Default)
        .build()
        .output();

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