aither-gemini 0.21.0

Google Gemini provider integration for aither
Documentation 
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use aither_core::image::{Data as ImageData, ImageGenerator, Prompt, Size};
use futures_core::Stream;
use futures_lite::StreamExt;

use crate::{
    client::call_generate,
    config::Gemini,
    error::GeminiError,
    types::{GeminiContent, GenerateContentRequest, GenerationConfig, ImageConfig, Part},
};

impl ImageGenerator for Gemini {
    type Error = GeminiError;

    fn create(
        &self,
        prompt: Prompt,
        size: Size,
    ) -> impl Stream<Item = Result<ImageData, Self::Error>> + Send {
        let cfg = self.config();
        let text = prompt.text().to_owned();
        let images = prompt.images().to_vec();
        let aspect_ratio = map_size_to_aspect_ratio(size);

        futures_lite::stream::iter(vec![async move {
            let model = cfg.image_model.clone().ok_or_else(|| {
                GeminiError::Api("image generation is disabled for this Gemini backend".into())
            })?;
            let mut parts = vec![Part::text(text)];
            for image in images {
                parts.push(Part::inline_image(image));
            }

            let request = GenerateContentRequest {
                system_instruction: None,
                contents: vec![GeminiContent::with_parts("user", parts)],
                generation_config: Some(GenerationConfig {
                    image_config: Some(ImageConfig {
                        aspect_ratio: Some(aspect_ratio),
                        image_size: None,
                    }),
                    ..GenerationConfig::default()
                }),
                tools: Vec::new(),
                tool_config: None,
                safety_settings: Vec::new(),
                cached_content: None,
            };
            call_generate(cfg, &model, request).await
        }])
        .then(|fut| fut)
        .filter_map(Result::ok)
        .flat_map(|response| {
            let parts = response
                .primary_candidate()
                .and_then(|candidate| candidate.content.as_ref())
                .map(|content| content.parts.clone())
                .unwrap_or_default();
            futures_lite::stream::iter(parts)
                .filter_map(|part| {
                    part.inline_data
                        .as_ref()
                        .and_then(|inline| inline.decode().ok())
                })
                .map(Ok)
        })
    }

    fn edit(
        &self,
        prompt: Prompt,
        mask: &[u8],
    ) -> impl Stream<Item = Result<ImageData, Self::Error>> + Send {
        let cfg = self.config();
        let mask_bytes = mask.to_vec();
        let text = prompt.text().to_owned();
        let base_image = prompt.images().first().cloned();

        futures_lite::stream::iter(vec![async move {
            let model = cfg.image_model.clone().ok_or_else(|| {
                GeminiError::Api("image generation is disabled for this Gemini backend".into())
            })?;
            let base_image = base_image.ok_or_else(|| {
                GeminiError::Api(
                    "image editing requires Prompt::with_image to supply a base image".into(),
                )
            })?;
            let mut parts = vec![Part::inline_image(base_image)];
            if !mask_bytes.is_empty() {
                parts.push(Part::inline_mask(mask_bytes));
            }
            parts.push(Part::text(format!(
                "Apply the mask and follow these instructions: {text}"
            )));
            let request = GenerateContentRequest {
                system_instruction: None,
                contents: vec![GeminiContent::with_parts("user", parts)],
                generation_config: Some(GenerationConfig::default()),
                tools: Vec::new(),
                tool_config: None,
                safety_settings: Vec::new(),
                cached_content: None,
            };
            call_generate(cfg, &model, request).await
        }])
        .then(|fut| fut)
        .filter_map(Result::ok)
        .flat_map(|response| {
            let parts = response
                .primary_candidate()
                .and_then(|candidate| candidate.content.as_ref())
                .map(|content| content.parts.clone())
                .unwrap_or_default();
            futures_lite::stream::iter(parts)
                .filter_map(|part| {
                    part.inline_data
                        .as_ref()
                        .and_then(|inline| inline.decode().ok())
                })
                .map(Ok)
        })
    }
}

fn map_size_to_aspect_ratio(size: Size) -> String {
    if size.width() == size.height() {
        "1:1".into()
    } else if size.width() > size.height() {
        if size.width() * 9 == size.height() * 16 {
            "16:9".into()
        } else if size.width() * 3 == size.height() * 4 {
            "4:3".into()
        } else {
            "16:9".into() // Default landscape
        }
    } else if size.width() * 16 == size.height() * 9 {
        "9:16".into()
    } else if size.width() * 4 == size.height() * 3 {
        "3:4".into()
    } else {
        "9:16".into() // Default portrait
    }
}