apparently working version for LLAMA

src/image_description.rs

@@ -1,4 +1,10 @@
 use base64::{Engine as _, engine::general_purpose::STANDARD};
+use serde::Deserialize;
+use serde::Serialize;
+use serde_json::json;
+use std::time::Duration;
+
+
 
 
 // module to hold all code for generating/fetching image descriptions
@@ -21,6 +27,16 @@ pub struct FileConfig {
     pub caption_extension: String,
 }
 
+#[derive(Serialize, Deserialize)]
+struct LlamaModel {
+    model: String,
+    prompt: String,
+    stream: bool,
+    format: String,
+    suffix: String,
+    images: Vec<String>,
+    keep_alive: i8
+}
 // fetch the imagedescription from a file named like the Image 
 pub  fn get_description_from_file(image_name: String , file_config: FileConfig) -> Result<String, Box<dyn super::Error>>  {
     //read image caption from a local file that 
@@ -96,5 +112,60 @@ pub  fn get_description_from_chatgpt(image_name: String, chatgpt_config: self::C
 
 // fetch images description from own OLLAMA server
 pub  fn get_description_from_ollama(image_name: String, ollama_config: OllamaConfig) -> Result<String, Box<dyn super::Error>> {
-    Ok("Not implemented yet".to_string())
+    // Read and encode image
+    let image_data = std::fs::read(image_name)?; 
+    // Base64 encode the image for ChatGTP API
+    let base64_image = STANDARD.encode(image_data);
+    
+    
+    // Create the JSON payload
+    let payload = json!({
+        "model": ollama_config.ollama_model.to_string(),
+        "prompt": "Can you complete this sentence: This picture shows... Try to be as accurate as possible but keep the description simple and shorter than 5000 characters.",
+        "stream": false,
+        "images": [base64_image]
+    });
+    
+   
+    // println!("JSON output:\n{}", json.clone());
+    // Create ChatGPT API request
+    // let client = reqwest::blocking::Client::new();
+    let client = reqwest::blocking::ClientBuilder::new()
+        .connect_timeout(Duration::new(30, 0))
+        .timeout(Duration::new(300,0))
+        .connection_verbose(true).build()?;
+    
+    
+    let response = client
+        .post(ollama_config.ollama_api_url)
+        .header("Content-Type", "application/json")
+        .json(&payload).send();
+                            
+    // Improved error handling for API response
+    // Check for HTTP errors
+    if response.as_ref().unwrap().status().is_success() {
+        println!("success!");
+    } else if response.as_ref().unwrap().status().is_server_error() {
+        println!("server error!");
+    } else {
+        println!("Something else happened. Status: {:?}", response.as_ref().unwrap().status());
+    }
+    
+
+    // Extract response text
+    let result: super::Value = response.unwrap().json()?;
+    let description: String;
+    if !result["response"].is_null() {
+        description = result["response"].to_string();
+    } else if !result["error"].is_null() {
+        description = result["error"].to_string();
+    } else {
+        description = "Could not find response or error from OLLAMA".to_string();
+    }
+   
+    
+    println!("Description generated by OLLAMA: {}", description.clone());
+    
+    Ok(description)
+    
 }

src/pixelfed.rs

@@ -1,4 +1,4 @@
-use reqwest::{self, multipart};
+use reqwest::{self};
 use std::error::Error;
 
 struct PixelfedConfig {
@@ -59,6 +59,7 @@ pub fn bulk_upload_images(config: &super::Config, images: &[String], batch_num:
                 };
                 println!("Fetching image description from OLLAMA for {}", image_path.to_string());
                 description = super::image_description::get_description_from_ollama(image_path.to_string(), im_config)?;
+                println!("Description generated by OLLAMA: {}", description.clone());
                 media_descriptions.push(description.clone());
             },
         }