aha 0.2.5

aha model inference library, now supports Qwen(2.5VL/3/3VL/3.5/ASR/3Embedding/3Reranker), MiniCPM4, VoxCPM/1.5, DeepSeek-OCR/2, Hunyuan-OCR, PaddleOCR-VL/1.5, RMBG2.0, GLM(ASR-Nano-2512/OCR), Fun-ASR-Nano-2512, LFM(2/2.5/2VL/2.5VL)
Documentation
//! Glm-OCR exec implementation for CLI `run` subcommand
use std::time::Instant;

use anyhow::{Ok, Result};

use crate::exec::ExecModel;
use crate::models::{GenerateModel, glm_ocr::generate::GlmOcrGenerateModel};

pub struct GlmOcrExec;

impl ExecModel for GlmOcrExec {
    fn run(input: &[String], output: Option<&str>, weight_path: &str) -> Result<()> {
        let url = &input[0];
        let input_url = if url.starts_with("http://")
            || url.starts_with("https://")
            || url.starts_with("file://")
        {
            url.clone()
        } else {
            format!("file://{}", url)
        };

        let i_start = Instant::now();
        let mut model = GlmOcrGenerateModel::init(weight_path, None, None)?;
        let i_duration = i_start.elapsed();
        println!("Time elapsed in load model is: {:?}", i_duration);

        let message = format!(
            r#"{{
                "model": "ZhipuAI/GLM-OCR",
                "messages": [
                    {{
                        "role": "user",
                        "content": [
                            {{
                                "type": "image_url",
                                "image_url": {{
                                    "url": "{}"
                                }}
                            }},
                            {{
                                "type": "text",
                                "text": "Text Recognition:"
                            }}
                        ]
                    }}
                ],
                "max_tokens": 1024
            }}"#,
            input_url
        );

        let mes = serde_json::from_str(&message)?;

        let i_start = Instant::now();
        let result = model.generate(mes)?;
        let i_duration = i_start.elapsed();
        println!("Time elapsed in generate is: {:?}", i_duration);

        println!("Result: {:?}", result);

        if let Some(out) = output {
            std::fs::write(out, format!("{:?}", result))?;
            println!("Output saved to: {}", out);
        }

        Ok(())
    }
}