Files
ALwrity/backend/api/podcast/models.py
ajaysi f503a24b3b feat: Add Auto-Dubbing feature for Podcast Maker
This commit adds the Auto-Dubbing feature for Podcast Maker with support
for translating podcast audio to different languages with optional voice
cloning to preserve the original speaker's voice.

New Features:
- Translation Service (common module): DeepL integration for low-cost
  translation, WaveSpeed integration for high-quality translation
- Audio Dubbing Service: STT -> Translate -> TTS pipeline with
  voice cloning support
- 9 new API endpoints for dubbing and voice cloning
- Support for 34+ languages
- Cost estimation utilities
- Comprehensive documentation

Files Added:
- services/translation/ (5 files): Translation service module
- services/dubbing/: Audio dubbing service
- api/podcast/handlers/dubbing.py: API endpoints
- docs/AUTO_DUBBING.md: Feature documentation
- CHANGELOG.md: Change log

Files Modified:
- api/podcast/models.py: Added dubbing request/response models
- api/podcast/router.py: Added dubbing routes
- services/__init__.py: Export translation and dubbing services
- scene_animation.py: Fixed missing Path import
2026-03-24 15:45:51 +05:30

420 lines
16 KiB
Python

"""
Podcast API Models
All Pydantic request/response models for podcast endpoints.
"""
from pydantic import BaseModel, Field, model_validator
from typing import List, Optional, Dict, Any
from datetime import datetime
from enum import Enum
class PodcastProjectResponse(BaseModel):
"""Response model for podcast project."""
id: int
project_id: str
user_id: str
idea: str
duration: int
speakers: int
budget_cap: float
analysis: Optional[Dict[str, Any]] = None
queries: Optional[List[Dict[str, Any]]] = None
selected_queries: Optional[List[str]] = None
research: Optional[Dict[str, Any]] = None
raw_research: Optional[Dict[str, Any]] = None
estimate: Optional[Dict[str, Any]] = None
script_data: Optional[Dict[str, Any]] = None
bible: Optional[Dict[str, Any]] = None
render_jobs: Optional[List[Dict[str, Any]]] = None
knobs: Optional[Dict[str, Any]] = None
research_provider: Optional[str] = None
show_script_editor: bool = False
show_render_queue: bool = False
current_step: Optional[str] = None
status: str = "draft"
is_favorite: bool = False
final_video_url: Optional[str] = None
avatar_url: Optional[str] = None
avatar_prompt: Optional[str] = None
avatar_persona_id: Optional[str] = None
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
class PodcastAnalyzeRequest(BaseModel):
"""Request model for podcast idea analysis."""
idea: str = Field(..., description="Podcast topic or idea")
duration: int = Field(default=10, description="Target duration in minutes")
speakers: int = Field(default=1, description="Number of speakers")
bible: Optional[Dict[str, Any]] = Field(None, description="Optional Podcast Bible for context")
avatar_url: Optional[str] = Field(None, description="Current avatar URL if selected")
feedback: Optional[str] = Field(None, description="User feedback for regeneration")
class PodcastAnalyzeResponse(BaseModel):
"""Response model for podcast idea analysis."""
audience: str
content_type: str
top_keywords: list[str]
suggested_outlines: list[Dict[str, Any]]
title_suggestions: list[str]
research_queries: Optional[List[Dict[str, str]]] = None
exa_suggested_config: Optional[Dict[str, Any]] = None
bible: Optional[Dict[str, Any]] = None
avatar_url: Optional[str] = None
avatar_prompt: Optional[str] = None
class PodcastEnhanceIdeaRequest(BaseModel):
"""Request model for enhancing a podcast idea with AI."""
idea: str = Field(..., description="The raw podcast idea or keywords")
bible: Optional[Dict[str, Any]] = Field(None, description="Optional Podcast Bible for context")
class PodcastEnhanceIdeaResponse(BaseModel):
"""Response model for enhanced podcast idea."""
enhanced_ideas: List[str] = Field(..., description="3 AI-enhanced topic choices")
rationales: List[str] = Field(..., description="Rationale for each enhanced idea")
class PodcastScriptRequest(BaseModel):
"""Request model for podcast script generation."""
idea: str = Field(..., description="Podcast idea or topic")
duration_minutes: int = Field(default=10, description="Target duration in minutes")
speakers: int = Field(default=1, description="Number of speakers")
research: Optional[Dict[str, Any]] = Field(None, description="Optional research payload to ground the script")
bible: Optional[Dict[str, Any]] = Field(None, description="Podcast Bible for hyper-personalization")
outline: Optional[Dict[str, Any]] = Field(None, description="The refined episode outline to follow")
analysis: Optional[Dict[str, Any]] = Field(None, description="The full analysis context (audience, keywords, etc.)")
class PodcastSceneLine(BaseModel):
speaker: str
text: str
emphasis: Optional[bool] = False
class PodcastScene(BaseModel):
id: str
title: str
duration: int
lines: list[PodcastSceneLine]
approved: bool = False
emotion: Optional[str] = None
imageUrl: Optional[str] = None # Generated image URL for video generation
class PodcastExaConfig(BaseModel):
"""Exa config for podcast research."""
exa_search_type: Optional[str] = Field(default="auto", description="auto | keyword | neural")
exa_category: Optional[str] = None
exa_include_domains: List[str] = []
exa_exclude_domains: List[str] = []
max_sources: int = 8
include_statistics: Optional[bool] = False
date_range: Optional[str] = Field(default=None, description="last_month | last_3_months | last_year | all_time")
@model_validator(mode="after")
def validate_domains(self):
if self.exa_include_domains and self.exa_exclude_domains:
# Exa API does not allow both include and exclude domains together with contents
# Prefer include_domains and drop exclude_domains
self.exa_exclude_domains = []
return self
class PodcastExaResearchRequest(BaseModel):
"""Request for podcast research using Exa directly (no blog writer)."""
topic: str
queries: List[str]
exa_config: Optional[PodcastExaConfig] = None
bible: Optional[Dict[str, Any]] = Field(None, description="Podcast Bible for hyper-personalization")
analysis: Optional[Dict[str, Any]] = Field(None, description="Podcast analysis context (audience, content type, etc.)")
class PodcastExaSource(BaseModel):
title: str = ""
url: str = ""
excerpt: str = ""
published_at: Optional[str] = None
highlights: Optional[List[str]] = None
summary: Optional[str] = None
source_type: Optional[str] = None
index: Optional[int] = None
image: Optional[str] = None
author: Optional[str] = None
class PodcastResearchInsight(BaseModel):
"""Deep insight extracted from research."""
title: str
content: str
source_indices: List[int] = []
class PodcastExaResearchResponse(BaseModel):
sources: List[PodcastExaSource]
search_queries: List[str] = []
summary: str = ""
key_insights: List[PodcastResearchInsight] = []
cost: Optional[Dict[str, Any]] = None
search_type: Optional[str] = None
provider: str = "exa"
content: Optional[str] = None # Raw aggregated content (deprecated)
class PodcastScriptResponse(BaseModel):
scenes: list[PodcastScene]
class PodcastAudioRequest(BaseModel):
"""Generate TTS for a podcast scene."""
scene_id: str
scene_title: str
text: str
voice_id: Optional[str] = "Wise_Woman"
speed: Optional[float] = 1.0
volume: Optional[float] = 1.0
pitch: Optional[float] = 0.0
emotion: Optional[str] = "neutral"
english_normalization: Optional[bool] = False # Better number reading for statistics
sample_rate: Optional[int] = None
bitrate: Optional[int] = None
channel: Optional[str] = None
format: Optional[str] = None
language_boost: Optional[str] = None
enable_sync_mode: Optional[bool] = True
class PodcastAudioResponse(BaseModel):
scene_id: str
scene_title: str
audio_filename: str
audio_url: str
provider: str
model: str
voice_id: str
text_length: int
file_size: int
cost: float
class PodcastProjectListResponse(BaseModel):
"""Response model for project list."""
projects: List[PodcastProjectResponse]
total: int
limit: int
offset: int
class CreateProjectRequest(BaseModel):
"""Request model for creating a project."""
project_id: str = Field(..., description="Unique project ID")
idea: str = Field(..., description="Episode idea or URL")
duration: int = Field(..., description="Duration in minutes")
speakers: int = Field(default=1, description="Number of speakers")
budget_cap: float = Field(default=50.0, description="Budget cap in USD")
avatar_url: Optional[str] = Field(None, description="Optional presenter avatar URL")
class UpdateProjectRequest(BaseModel):
"""Request model for updating project state."""
analysis: Optional[Dict[str, Any]] = None
queries: Optional[List[Dict[str, Any]]] = None
selected_queries: Optional[List[str]] = None
research: Optional[Dict[str, Any]] = None
raw_research: Optional[Dict[str, Any]] = None
estimate: Optional[Dict[str, Any]] = None
script_data: Optional[Dict[str, Any]] = None
bible: Optional[Dict[str, Any]] = None
render_jobs: Optional[List[Dict[str, Any]]] = None
knobs: Optional[Dict[str, Any]] = None
research_provider: Optional[str] = None
show_script_editor: Optional[bool] = None
show_render_queue: Optional[bool] = None
current_step: Optional[str] = None
status: Optional[str] = None
final_video_url: Optional[str] = None
class PodcastCombineAudioRequest(BaseModel):
"""Request model for combining podcast audio files."""
project_id: str
scene_ids: List[str] = Field(..., description="List of scene IDs to combine")
scene_audio_urls: List[str] = Field(..., description="List of audio URLs for each scene")
class PodcastCombineAudioResponse(BaseModel):
"""Response model for combined podcast audio."""
combined_audio_url: str
combined_audio_filename: str
total_duration: float
file_size: int
scene_count: int
class PodcastImageRequest(BaseModel):
"""Request for generating an image for a podcast scene."""
scene_id: str
scene_title: str
scene_content: Optional[str] = None # Optional: scene lines text for context
idea: Optional[str] = None # Optional: podcast idea for context
base_avatar_url: Optional[str] = None # Base avatar image URL for scene variations
bible: Optional[Dict[str, Any]] = Field(None, description="Podcast Bible for hyper-personalization")
width: int = 1024
height: int = 1024
custom_prompt: Optional[str] = None # Custom prompt from user (overrides auto-generated prompt)
style: Optional[str] = None # "Auto", "Fiction", or "Realistic"
rendering_speed: Optional[str] = None # "Default", "Turbo", or "Quality"
aspect_ratio: Optional[str] = None # "1:1", "16:9", "9:16", "4:3", "3:4"
class PodcastImageResponse(BaseModel):
"""Response for podcast scene image generation."""
scene_id: str
scene_title: str
image_filename: str
image_url: str
width: int
height: int
provider: str
model: Optional[str] = None
cost: float
class PodcastVideoGenerationRequest(BaseModel):
"""Request model for podcast video generation."""
project_id: str = Field(..., description="Podcast project ID")
scene_id: str = Field(..., description="Scene ID")
scene_title: str = Field(..., description="Scene title")
audio_url: str = Field(..., description="URL to the generated audio file")
avatar_image_url: Optional[str] = Field(None, description="URL to scene image (required for video generation)")
bible: Optional[Dict[str, Any]] = Field(None, description="Podcast Bible for hyper-personalization")
resolution: str = Field("720p", description="Video resolution (480p or 720p)")
prompt: Optional[str] = Field(None, description="Optional animation prompt override")
seed: Optional[int] = Field(-1, description="Random seed; -1 for random")
mask_image_url: Optional[str] = Field(None, description="Optional mask image URL to specify animated region")
class PodcastVideoGenerationResponse(BaseModel):
"""Response model for podcast video generation."""
task_id: str
status: str
message: str
class PodcastCombineVideosRequest(BaseModel):
"""Request to combine scene videos into final podcast"""
project_id: str = Field(..., description="Project ID")
scene_video_urls: list[str] = Field(..., description="List of scene video URLs in order")
podcast_title: str = Field(default="Podcast", description="Title for the final podcast video")
class PodcastCombineVideosResponse(BaseModel):
"""Response from combine videos endpoint"""
task_id: str
status: str
message: str
class AudioDubbingQuality(str, Enum):
LOW = "low"
HIGH = "high"
@classmethod
def from_string(cls, value: str) -> "AudioDubbingQuality":
if value.lower() == "high":
return cls.HIGH
return cls.LOW
class PodcastAudioDubRequest(BaseModel):
"""Request model for audio dubbing."""
source_audio_url: str = Field(..., description="URL or path to source audio file")
source_language: Optional[str] = Field(None, description="Source language code (auto-detected if None)")
target_language: str = Field(..., description="Target language for dubbing")
quality: str = Field(default="low", description="Translation quality: low (DeepL) or high (WaveSpeed)")
voice_id: Optional[str] = Field(default="Wise_Woman", description="Voice ID for TTS")
speed: Optional[float] = Field(default=1.0, ge=0.5, le=2.0, description="Speech speed (0.5-2.0)")
emotion: Optional[str] = Field(default="happy", description="Emotion for TTS voice")
preserve_emotion: Optional[bool] = Field(default=True, description="Preserve emotional tone in translation")
use_voice_clone: Optional[bool] = Field(default=False, description="Use voice cloning to preserve original speaker's voice")
custom_voice_id: Optional[str] = Field(None, description="Custom name for the cloned voice")
voice_clone_accuracy: Optional[float] = Field(default=0.7, ge=0.1, le=1.0, description="Voice cloning accuracy (0.1-1.0)")
class PodcastAudioDubResponse(BaseModel):
"""Response model for audio dubbing task creation."""
task_id: str
status: str = "pending"
message: str = "Audio dubbing task created"
class PodcastAudioDubResult(BaseModel):
"""Response model for completed audio dubbing."""
dubbed_audio_url: str
dubbed_audio_filename: str
original_transcript: str
translated_transcript: str
source_language: str
target_language: str
voice_id: str
quality: str
duration_seconds: int
file_size: int
cost: float
task_id: str
status: str = "completed"
voice_clone_used: Optional[bool] = Field(default=False, description="Whether voice cloning was used")
cloned_voice_id: Optional[str] = Field(None, description="ID of the cloned voice if voice_clone_used=True")
class PodcastAudioDubEstimateRequest(BaseModel):
"""Request model for dubbing cost estimation."""
audio_duration_seconds: float = Field(..., description="Duration of source audio in seconds")
target_language: str = Field(..., description="Target language")
quality: str = Field(default="low", description="Translation quality")
use_voice_clone: Optional[bool] = Field(default=False, description="Include voice cloning cost")
class PodcastAudioDubEstimateResponse(BaseModel):
"""Response model for dubbing cost estimation."""
estimated_characters: int
translation_cost: float
tts_cost: float
voice_clone_cost: float = 0.0
total_cost: float
currency: str = "USD"
class VoiceCloneRequest(BaseModel):
"""Request model for voice cloning."""
source_audio_url: str = Field(..., description="URL or path to source audio file (10-60 seconds recommended)")
custom_voice_id: Optional[str] = Field(None, description="Custom name for the cloned voice")
accuracy: Optional[float] = Field(default=0.7, ge=0.1, le=1.0, description="Cloning accuracy (0.1-1.0)")
language_boost: Optional[str] = Field(None, description="Language to optimize the voice for")
class VoiceCloneResponse(BaseModel):
"""Response model for voice cloning."""
task_id: str
status: str = "pending"
message: str = "Voice cloning task created"
class VoiceCloneResult(BaseModel):
"""Response model for completed voice cloning."""
voice_id: str
voice_url: str
source_language: str
accuracy: float
file_size: int
task_id: str
status: str = "completed"