Voice Management

{
  "voices": [
    {
      "voice_id": "voice_abc123def456",
      "name": "Sarah Professional",
      "category": "professional",
      "language": "en",
      "gender": "female",
      "age_range": "adult",
      "style": "conversational",
      "description": "Clear, professional female voice perfect for business presentations",
      "preview_url": "https://api.audiopod.ai/voice-previews/sarah_professional.mp3",
      "is_custom": false,
      "created_by": null,
      "tags": ["business", "clear", "professional"],
      "usage_stats": {
        "total_generations": 15420,
        "avg_rating": 4.7
      },
      "supported_features": {
        "speed_control": true,
        "pitch_control": true,
      }
    },
    {
      "voice_id": "voice_xyz789ghi012",
      "name": "My Custom Voice",
      "category": "custom",
      "language": "en",
      "gender": "male",
      "age_range": "adult",
      "style": "conversational",
      "description": "Custom voice cloned from my recordings",
      "preview_url": "https://api.audiopod.ai/voice-previews/custom_xyz789.mp3",
      "is_custom": true,
      "created_by": "550e8400-e29b-41d4-a716-446655440000",
      "created_at": "2024-01-10T15:30:00Z",
      "tags": ["personal", "english"],
      "clone_job_id": 456,
      "training_status": "completed",
      "supported_features": {
        "speed_control": true,
        "pitch_control": true,
      }
    }
  ],
  "total": 127,
  "hasMore": true,
  "filters_applied": {
    "category": "professional",
    "language": "en"
  }
}

{
  "id": 123,
  "uuid": "550e8400-e29b-41d4-a716-446655440000",
  "name": "My Custom Voice",
  "description": "Professional voice for presentations",
  "voice_type": "CUSTOM",
  "status": "PROCESSING",
  "created_at": "2024-01-15T10:30:00Z",
  "processed_at": null,
  "is_public": false,
  "file_path": "/voices/custom/voice_123.wav"
}

def find_best_voice_for_content(content_type, language, gender_preference, api_key):
    """Help users find the best voice for their content"""
    
    # Define voice selection criteria based on content type
    criteria_map = {
        "podcast": {"category": "professional", "style": "conversational"},
        "audiobook": {"category": "professional", "style": "narrative"},
        "assistant": {"category": "professional", "style": "assistant"},
        "character": {"category": "character", "style": "character"},
        "casual": {"category": "casual", "style": "conversational"}
    }
    
    criteria = criteria_map.get(content_type, {"category": "professional"})
    
    # Search for matching voices
    params = {
        "language": language,
        "limit": 10
    }
    
    if gender_preference:
        params["gender"] = gender_preference
        
    if "category" in criteria:
        params["category"] = criteria["category"]
        
    if "style" in criteria:
        params["style"] = criteria["style"]
    
    response = requests.get(
        "https://api.audiopod.ai/api/v1/voice/voices",
        headers={"Authorization": f"Bearer {api_key}"},
        params=params
    )
    
    if response.status_code != 200:
        return {"error": "Failed to fetch voices"}
    
    voices_data = response.json()
    voices = voices_data["voices"]
    
    # Rank voices by suitability
    ranked_voices = []
    
    for voice in voices:
        score = 0
        
        # Prefer voices with higher ratings
        if voice.get("usage_stats", {}).get("avg_rating"):
            score += voice["usage_stats"]["avg_rating"] * 10
        
        # Prefer voices with proven usage
        if voice.get("usage_stats", {}).get("total_generations", 0) > 1000:
            score += 20
        
        # Prefer exact style matches
        if voice.get("style") == criteria.get("style"):
            score += 30
        
        ranked_voices.append({
            "voice": voice,
            "suitability_score": score
        })
    
    # Sort by score
    ranked_voices.sort(key=lambda x: x["suitability_score"], reverse=True)
    
    return {
        "content_type": content_type,
        "language": language,
        "criteria": criteria,
        "recommended_voices": ranked_voices[:5],  # Top 5 recommendations
        "total_matches": len(voices)
    }

# Usage
recommendations = find_best_voice_for_content(
    content_type="podcast",
    language="en", 
    gender_preference="female",
    api_key="your_api_key"
)

print(f"Top recommendations for {recommendations['content_type']} in {recommendations['language']}:")
for i, rec in enumerate(recommendations["recommended_voices"], 1):
    voice = rec["voice"]
    print(f"{i}. {voice['name']} (Score: {rec['suitability_score']:.1f})")
    print(f"   Category: {voice['category']}, Style: {voice.get('style', 'N/A')}")
    print(f"   Rating: {voice.get('usage_stats', {}).get('avg_rating', 'N/A')}")
    print()

def organize_voices_by_project(voices_to_organize, api_key):
    """Organize voices into project-based collections"""
    
    # Group voices by characteristics for project organization
    voice_groups = {
        "narrative_voices": [],
        "character_voices": [],
        "professional_voices": [],
        "multilingual_voices": []
    }
    
    for voice_id in voices_to_organize:
        # Get voice details
        response = requests.get(
            f"https://api.audiopod.ai/api/v1/voice/voices/{voice_id}",
            headers={"Authorization": f"Bearer {api_key}"}
        )
        
        if response.status_code == 200:
            voice = response.json()
            
            # Categorize voice
            style = voice.get("style", "")
            category = voice.get("category", "")
            
            if style == "narrative" or "audiobook" in voice.get("tags", []):
                voice_groups["narrative_voices"].append(voice_id)
            elif category == "character" or style == "character":
                voice_groups["character_voices"].append(voice_id)
            elif category == "professional":
                voice_groups["professional_voices"].append(voice_id)
            
            # Check if multilingual
            if voice.get("language") != "en" or "multilingual" in voice.get("tags", []):
                voice_groups["multilingual_voices"].append(voice_id)
    
    # Create collections for non-empty groups
    created_collections = []
    
    collection_configs = {
        "narrative_voices": {
            "name": "Narrative & Audiobook Voices",
            "description": "Voices optimized for storytelling and long-form content"
        },
        "character_voices": {
            "name": "Character & Creative Voices", 
            "description": "Unique voices for character work and creative projects"
        },
        "professional_voices": {
            "name": "Professional & Business Voices",
            "description": "Clear, professional voices for business content"
        },
        "multilingual_voices": {
            "name": "International & Multilingual Voices",
            "description": "Voices for international content and multiple languages"
        }
    }
    
    for group_name, voice_ids in voice_groups.items():
        if voice_ids:  # Only create collection if there are voices
            config = collection_configs[group_name]
            
            collection_data = {
                "name": config["name"],
                "description": config["description"],
                "voice_ids": voice_ids,
                "tags": [group_name.replace("_", "-"), "auto-organized"]
            }
            
            response = requests.post(
                "https://api.audiopod.ai/api/v1/voice/collections",
                headers={
                    "Authorization": f"Bearer {api_key}",
                    "Content-Type": "application/json"
                },
                json=collection_data
            )
            
            if response.status_code == 201:
                collection = response.json()
                created_collections.append({
                    "collection_id": collection["collection_id"],
                    "name": collection["name"],
                    "voice_count": len(voice_ids),
                    "voices": voice_ids
                })
    
    return {
        "organized": True,
        "collections_created": len(created_collections),
        "collections": created_collections,
        "total_voices_organized": sum(len(group) for group in voice_groups.values())
    }

# Usage
voice_list = ["voice_abc123", "voice_def456", "voice_ghi789", "voice_jkl012"]
organization_result = organize_voices_by_project(voice_list, "your_api_key")

print(f"Organized {organization_result['total_voices_organized']} voices into {organization_result['collections_created']} collections:")
for collection in organization_result["collections"]:
    print(f"  {collection['name']}: {collection['voice_count']} voices")

# Guidelines for choosing the right voice for different use cases
voice_selection_guide = {
    "content_types": {
        "podcast": {
            "recommended_categories": ["professional", "casual"],
            "preferred_styles": ["conversational"],
            "features_needed": ["speed_control"],
            "avoid": ["character", "synthetic"]
        },
        "audiobook": {
            "recommended_categories": ["professional"],
            "preferred_styles": ["narrative"],
            "features_needed": ["pitch_control", "speed_control"],
            "duration_considerations": "Choose voices with consistent quality for long content"
        },
        "e_learning": {
            "recommended_categories": ["professional"],
            "preferred_styles": ["assistant", "educational"],
            "features_needed": ["speed_control"],
            "clarity_priority": "High clarity and pronunciation accuracy required"
        },
        "marketing": {
            "recommended_categories": ["professional", "character"],
            "preferred_styles": ["promotional", "conversational"],
            "brand_alignment": "Choose voice that matches brand personality"
        }
    },
    "technical_considerations": {
        "processing_speed": "Pre-built voices are faster than custom voices",
        "customization": "Custom voices offer more personalization but require training time",
        "quality": "Professional category voices generally have higher quality",
        "cost": "Custom voices have training costs, pre-built voices are pay-per-use"
    }
}