Refactor: Reorganize project structure by moving core components into dedicated directories and introducing new configuration and API models.

2026-02-26 21:51:36 +01:00
parent fbff8c98ff
commit d60730c4bf
13 changed files with 83 additions and 60 deletions
--- a/Api/GroqApiClient.cs
+++ b/Api/GroqApiClient.cs
@@ -0,0 +1,83 @@
+using System.Net.Http.Headers;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+
+using Toak.Api.Models;
+using Toak.Serialization;
+
+namespace Toak.Api;
+
+public class GroqApiClient
+{
+    private readonly HttpClient _httpClient;
+
+    public GroqApiClient(string apiKey)
+    {
+        _httpClient = new HttpClient();
+        _httpClient.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
+        _httpClient.BaseAddress = new Uri("https://api.groq.com/openai/v1/");
+    }
+
+    public async Task<string> TranscribeAsync(string filePath, string language = "", string model = "whisper-large-v3-turbo")
+    {
+        using var content = new MultipartFormDataContent();
+        using var fileStream = File.OpenRead(filePath);
+        using var streamContent = new StreamContent(fileStream);
+        
+        streamContent.Headers.ContentType = new MediaTypeHeaderValue("audio/wav"); // or mpeg
+        content.Add(streamContent, "file", Path.GetFileName(filePath));
+        
+        string modelToUse = string.IsNullOrWhiteSpace(model) ? "whisper-large-v3-turbo" : model;
+
+        // according to docs whisper-large-v3-turbo requires the language to be provided if it is to be translated later potentially or if we need the most accurate behavior
+        // Actually, if we want language param, we can pass it to either model
+        content.Add(new StringContent(modelToUse), "model");
+
+        if (!string.IsNullOrWhiteSpace(language))
+        {
+            var firstLang = language.Split(',')[0].Trim();
+            content.Add(new StringContent(firstLang), "language");
+        }
+
+        var response = await _httpClient.PostAsync("audio/transcriptions", content);
+        
+        if (!response.IsSuccessStatusCode)
+        {
+            var error = await response.Content.ReadAsStringAsync();
+            throw new Exception($"Whisper API Error: {response.StatusCode} - {error}");
+        }
+
+        var json = await response.Content.ReadAsStringAsync();
+        var result = JsonSerializer.Deserialize(json, AppJsonSerializerContext.Default.WhisperResponse);
+        return result?.Text ?? string.Empty;
+    }
+
+    public async Task<string> RefineTextAsync(string rawTranscript, string systemPrompt, string model = "openai/gpt-oss-20b")
+    {
+        var requestBody = new LlamaRequest
+        {
+            Model = string.IsNullOrWhiteSpace(model) ? "openai/gpt-oss-20b" : model,
+            Temperature = 0.0,
+            Messages = new[]
+            {
+                new LlamaRequestMessage { Role = "system", Content = systemPrompt },
+                new LlamaRequestMessage { Role = "user", Content = $"<transcript>{rawTranscript}</transcript>" }
+            }
+        };
+
+        var jsonContent = new StringContent(JsonSerializer.Serialize(requestBody, AppJsonSerializerContext.Default.LlamaRequest), System.Text.Encoding.UTF8, "application/json");
+
+        var response = await _httpClient.PostAsync("chat/completions", jsonContent);
+
+        if (!response.IsSuccessStatusCode)
+        {
+            var error = await response.Content.ReadAsStringAsync();
+            throw new Exception($"Llama API Error: {response.StatusCode} - {error}");
+        }
+
+        var json = await response.Content.ReadAsStringAsync();
+        var result = JsonSerializer.Deserialize(json, AppJsonSerializerContext.Default.LlamaResponse);
+
+        return result?.Choices?.FirstOrDefault()?.Message?.Content ?? string.Empty;
+    }
+}