# 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.
## New Feature Added
- **Added Rag Concept Model**
- **Added Pdf,Audio,Video Uploading feature**
- **Added Function Calling 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`:
```rust
[dependencies]
gemini-ai = "0.1.167"
```
```rust
let builder = GeminiContentGenBuilder::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
```
```rust
//eg function calling
let feature1 = Properties::new(
"get_current_place_detail",
"current palce details",
Some(gemini_ai::pulse::format::Paramters {
r#type: String::from("object"),
properties: gemini_ai::pulse::format::SubProperties {
name: String::from("events"),
r#type: String::from("string"),
description: String::from("Render all the events located in current location"),
},
}),
Some(&["events"]),
);
let feature = feature(&[&feature1]);
let pluse = GeminiPulse::new()
.env("GEMINI_API_KEY")
.model(gemini_ai::Models::GEMINI_1_5_PRO)
.train(&feature)
.instruction("your are great in telling events in the current place")
.tell("banglore at 24 november 2024")
.build()
.output();
```
```rust
let builder = GeminiContentGenBuilder::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();
```