This HTTP Val converts text files to speech using OpenAI's TTS API and stores the results for podcast generation.

1. Set the OPENAI_API_KEY environment variable in your Val Town settings
2. The SQLite database table will be created automatically on first use

Converts a text file to speech and stores it.

Parameters:

• file (File): Text file to convert
• name (string): Name/title for the episode

Example using curl:

curl -X POST https://your-val-url.web.val.run/convert \
  -F "file=@your-text-file.txt" \
  -F "name=My First Episode"

Response:

{
  "success": true,
  "message": "Text converted to speech successfully",
  "data": {
    "name": "My First Episode",
    "mp3_url": "https://your-val-url.web.val.run/audio/tts_1234567890.mp3",
    "text_length": 1250
  }
}

Serves MP3 audio files from storage.

Lists all converted episodes.

Response:

{
  "success": true,
  "episodes": [
    {
      "id": 1,
      "name": "My First Episode",
      "text": "This is the text content...",
      "mp3_url": "https://your-val-url.web.val.run/audio/tts_1234567890.mp3",
      "date_added": "2024-01-01 12:00:00"
    }
  ]
}

Generates an RSS podcast feed from all episodes.

The tts_episodes table contains:

• id (INTEGER PRIMARY KEY)
• name (TEXT) - Episode title
• text (TEXT) - Original text content
• mp3_url (TEXT) - URL to the MP3 file
• date_added (DATETIME) - Timestamp when added

• ✅ Text file upload and conversion to MP3
• ✅ SQLite database storage
• ✅ MP3 file serving from blob storage
• ✅ RSS podcast feed generation
• ✅ Error handling and validation
• ✅ Automatic database initialization

• Uses OpenAI's tts-1 model with the alloy voice
• MP3 files are stored in Val Town's blob storage
• Database records include full text content for search/reference
• Podcast feed is automatically generated from database records
• All endpoints include proper error handling