feat: handles submitted audio

README.md

@@ -10,7 +10,7 @@
 
 ## Demo deployment
 
-To test *Minne* out, enter [this](https://minne-demo.stark.pub) read-only demo deployment to view and test functionality out.
+To test _Minne_ out, enter [this](https://minne-demo.stark.pub) read-only demo deployment to view and test functionality out.
 
 ## The "Why" Behind Minne
 
@@ -70,7 +70,7 @@ This is a great way to manage Minne and its SurrealDB dependency together.
 1. Create a `docker-compose.yml` file:
 
    ```yaml
-   version: '3.8'
+   version: "3.8"
    services:
      minne:
        image: ghcr.io/perstarkse/minne:latest # Pulls the latest pre-built image
@@ -88,7 +88,7 @@ This is a great way to manage Minne and its SurrealDB dependency together.
          SURREALDB_DATABASE: "minne_db"
          SURREALDB_NAMESPACE: "minne_ns"
          OPENAI_API_KEY: "your_openai_api_key_here" # IMPORTANT: Replace with your actual key
-         #OPENAI_BASE_URL: "your_ollama_address" # Uncomment this and change it to override the default openai base url 
+         #OPENAI_BASE_URL: "your_ollama_address" # Uncomment this and change it to override the default openai base url
          HTTP_PORT: 3000
          DATA_DIR: "/data" # Data directory inside the container
          RUST_LOG: "minne=info,tower_http=info" # Example logging level
@@ -177,7 +177,7 @@ Binaries for Windows, macOS, and Linux (combined `main` version) are available o
      ```bash
      cargo run --release --bin worker
      ```
-   The compiled binaries will be in `target/release/`.
+     The compiled binaries will be in `target/release/`.
 
 ## Configuration
 
@@ -229,7 +229,7 @@ Once Minne is running:
 
 1. Access the web interface at `http://localhost:3000` (or your configured port).
 1. On iOS, consider setting up the [Minne iOS Shortcut](https://www.icloud.com/shortcuts/9aa960600ec14329837ba4169f57a166) for effortless content sending. **Add the shortcut, replace the [insert_url] and the [insert_api_key] snippets**.
-1. Start adding notes, URLs and explore your growing knowledge graph.
+1. Add notes, URLs, **audio files**, and explore your growing knowledge graph.
 1. Engage with the chat interface to query your saved content.
 1. Try the experimental visual graph explorer to see connections.
 

common/migrations/20250701_000000_add_voice_processing_model_to_system_settings.surql

@@ -0,0 +1,5 @@
+DEFINE FIELD IF NOT EXISTS voice_processing_model ON system_settings TYPE string;
+
+UPDATE system_settings:current SET
+    voice_processing_model = "whisper-1"
+WHERE voice_processing_model == NONE; 

common/migrations/definitions/20250701_000000_add_voice_processing_model_to_system_settings.json

@@ -0,0 +1 @@
+{"schemas":"--- original\n+++ modified\n@@ -160,6 +160,7 @@\n DEFINE FIELD IF NOT EXISTS query_system_prompt ON system_settings TYPE string;\n DEFINE FIELD IF NOT EXISTS ingestion_system_prompt ON system_settings TYPE string;\n DEFINE FIELD IF NOT EXISTS image_processing_prompt ON system_settings TYPE string;\n+DEFINE FIELD IF NOT EXISTS voice_processing_model ON system_settings TYPE string;\n\n # Defines the schema for the 'text_chunk' table.\n\n","events":null}

common/schemas/system_settings.surql

@@ -13,3 +13,4 @@ DEFINE FIELD IF NOT EXISTS embedding_dimensions ON system_settings TYPE int;
 DEFINE FIELD IF NOT EXISTS query_system_prompt ON system_settings TYPE string;
 DEFINE FIELD IF NOT EXISTS ingestion_system_prompt ON system_settings TYPE string;
 DEFINE FIELD IF NOT EXISTS image_processing_prompt ON system_settings TYPE string;
+DEFINE FIELD IF NOT EXISTS voice_processing_model ON system_settings TYPE string;

common/src/storage/types/system_settings.rs

@@ -17,6 +17,7 @@ pub struct SystemSettings {
     pub ingestion_system_prompt: String,
     pub image_processing_model: String,
     pub image_processing_prompt: String,
+    pub voice_processing_model: String,
 }
 
 impl StoredObject for SystemSettings {

html-router/src/routes/admin/handlers.rs

@@ -128,6 +128,7 @@ pub struct ModelSettingsInput {
     query_model: String,
     processing_model: String,
     image_processing_model: String,
+    voice_processing_model: String,
     embedding_model: String,
     embedding_dimensions: Option<u32>,
 }
@@ -159,6 +160,7 @@ pub async fn update_model_settings(
         query_model: input.query_model,
         processing_model: input.processing_model,
         image_processing_model: input.image_processing_model,
+        voice_processing_model: input.voice_processing_model,
         embedding_model: input.embedding_model,
         // Use new dimensions if provided, otherwise retain the current ones.
         embedding_dimensions: input

html-router/templates/admin/base.html

@@ -107,6 +107,22 @@
           </p>
         </div>
 
+        <!-- Voice Processing Model -->
+        <div class="form-control mb-4">
+          <label class="label">
+            <span class="label-text">Voice Processing Model</span>
+          </label>
+          <select name="voice_processing_model" class="select select-bordered w-full">
+            {% for model in available_models.data %}
+            <option value="{{model.id}}" {% if settings.voice_processing_model==model.id %} selected {% endif %}>{{model.id}}</option>
+            {% endfor %}
+          </select>
+          <p class="text-xs text-gray-500 mt-1">
+            Current used:
+            <span class="font-mono">{{settings.voice_processing_model}}</span>
+          </p>
+        </div>
+
         <!-- Embedding Model -->
         <div class="form-control mb-4">
           <label class="label">

ingestion-pipeline/src/types/mod.rs

@@ -22,7 +22,7 @@ use std::io::{Seek, SeekFrom};
 use tempfile::NamedTempFile;
 use tracing::{error, info};
 
-use crate::utils::image_parsing::extract_text_from_image;
+use crate::utils::{audio_transcription::transcribe_audio_file, image_parsing::extract_text_from_image};
 
 pub async fn to_text_content(
     ingestion_payload: IngestionPayload,
@@ -231,6 +231,10 @@ async fn extract_text_from_file(
             let content = tokio::fs::read_to_string(&file_info.path).await?;
             Ok(content)
         }
+        "audio/mpeg" | "audio/mp3" | "audio/wav" | "audio/x-wav" | "audio/webm" | "audio/mp4" | "audio/ogg" | "audio/flac" => {
+
+            transcribe_audio_file(&file_info.path, db_client, openai_client).await
+        }
         // Handle other MIME types as needed
         _ => Err(AppError::NotFound(file_info.mime_type.clone())),
     }

ingestion-pipeline/src/utils/audio_transcription.rs

@@ -0,0 +1,32 @@
+use async_openai::types::{CreateTranscriptionRequestArgs, AudioResponseFormat};
+use common::{
+    error::AppError,
+    storage::{
+        db::SurrealDbClient,
+        types::system_settings::SystemSettings,
+    },
+};
+
+/// Transcribes an audio file using the configured OpenAI Whisper model.
+pub async fn transcribe_audio_file(
+    file_path: &str,
+    db_client: &SurrealDbClient,
+    openai_client: &async_openai::Client<async_openai::config::OpenAIConfig>,
+) -> Result<String, AppError> {
+    let system_settings = SystemSettings::get_current(db_client).await?;
+    let model = system_settings.voice_processing_model;
+
+    let request = CreateTranscriptionRequestArgs::default()
+        .file(file_path)
+        .model(model)
+        .response_format(AudioResponseFormat::Json)
+        .build()?;
+
+    let response = openai_client
+        .audio()
+        .transcribe(request)
+        .await
+        .map_err(|e| AppError::Processing(format!("Audio transcription failed: {}", e)))?;
+    Ok(response.text)
+}
+

ingestion-pipeline/src/utils/mod.rs

@@ -1,5 +1,6 @@
 pub mod image_parsing;
 pub mod llm_instructions;
+pub mod audio_transcription;
 
 use common::error::AppError;
 use std::collections::HashMap;