diff --git a/.env.example b/.env.example new file mode 100644 index 0000000000000000000000000000000000000000..eaa189c9d4b65f64b3f4a30669398971f860a897 --- /dev/null +++ b/.env.example @@ -0,0 +1,10 @@ +# Our selected models, replace these with your own choices if you want to modify the models used +PROMPT_SCENE_GEN_MODEL=groq/llama-3.3-70b-versatile +PDF_SCENE_GEN_MODEL=gemini/gemini-1.5-flash +PDF_RETRY_MODEL=gemini/gemini-2.0-flash-exp #Optional, only if you want to retry the PDF generation +CODE_GEN_MODEL=openrouter/deepseek/deepseek-chat:free + +# Use the LiteLLM convention of naming the API keys depending on the models you choose +GROQ_API_KEY= +OPENROUTER_API_KEY= +GEMINI_API_KEY= \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..20d492b855330247d2d2aa292dc005954215be91 --- /dev/null +++ b/.gitignore @@ -0,0 +1,67 @@ +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +/lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# Virtual environments +venv/ +ENV/ +env/ +.venv + +# IDE +.vscode/ +.idea/ +*.swp +*.swo +*~ + +# OS +.DS_Store +.DS_Store? +._* +.Spotlight-V100 +.Trashes +ehthumbs.db +Thumbs.db + +# Test output files +*.mp4 +test_*.py + +# Generated files +scene_*.py +scaling_*.py +generated_*.py +*.log + +# Generated directories +media/ +/jobs/ +jobs_3d/ + +# Environment variables +.env +.env.local + +# Project-specific +packages.txt +Error_free_videos.zip diff --git a/DEPLOYMENT.md b/DEPLOYMENT.md new file mode 100644 index 0000000000000000000000000000000000000000..a1664492c06fbf77733f0eebf29ddd9f9e14e957 --- /dev/null +++ b/DEPLOYMENT.md @@ -0,0 +1,38 @@ +# Deployment Configuration Guide + +## Environment Variables + +For a secure production deployment, you must set the following environment variables. + +### 1. Frontend (Next.js) +These variables should be set in your Vercel project settings or `.env.production`. + +| Variable | Description | Example Value | +|----------|-------------|---------------| +| `NEXTAUTH_URL` | The canonical URL of your site | `https://your-app.com` | +| `NEXTAUTH_SECRET` | A random string used to hash tokens | `openssl rand -base64 32` | +| `GOOGLE_CLIENT_ID` | OAuth Client ID from Google Cloud | `123...apps.googleusercontent.com` | +| `GOOGLE_CLIENT_SECRET` | OAuth Client Secret from Google Cloud | `GOCSPX-...` | +| `INTERNAL_API_KEY` | **CRITICAL**: Shared secret to talk to Python backend | `long-random-string-shared-with-backend` | +| `PYTHON_API_URL` | URL of your deployed Python backend | `https://api.your-app.com` | +| `DATABASE_URL` | Connection string for your production DB (e.g., Postgres) | `postgresql://user:pass@host:5432/db` | + +> **Note on Database**: Currently, the app uses SQLite (`file:./dev.db`). For production, you should switch the `provider` in `prisma/schema.prisma` to `postgresql` or `mysql` and use a real database URL. + +### 2. Backend (Python / FastAPI) +These variables should be set in your backend hosting service (e.g., Railway, Render, AWS). + +| Variable | Description | Example Value | +|----------|-------------|---------------| +| `INTERNAL_API_KEY` | **CRITICAL**: Must match the Frontend key exactly | `long-random-string-shared-with-backend` | +| `OPENAI_API_KEY` | For generating animation code | `sk-...` | +| `ELEVENLABS_API_KEY` | For generating voiceovers | `...` | +| `ANTHROPIC_API_KEY` | (Optional) If using Claude models | `sk-ant-...` | +| `CODE_GEN_MODEL` | Model to use for code generation | `gpt-4o` or `claude-3-5-sonnet-20240620` | + +## Security Checklist + +1. [ ] **Generate a Strong `INTERNAL_API_KEY`**: Use `openssl rand -hex 32` to generate a secure key. Set this on BOTH frontend and backend. +2. [ ] **HTTPS Everywhere**: Ensure both your frontend and backend are served over HTTPS. +3. [ ] **Database**: Do not use SQLite in production if you have multiple server instances (serverless). Use a managed Postgres database (e.g., Supabase, Neon, Railway). +4. [ ] **CORS**: In `api_server.py`, update `allow_origins` to only allow your production frontend domain, not `*` or `localhost`. diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..fd2f6f6c14972a286306c22dce29a1a6b8dae7ea --- /dev/null +++ b/Dockerfile @@ -0,0 +1,45 @@ +FROM python:3.11-slim + +# Install system dependencies for Manim and general usage +RUN apt-get update && apt-get install -y --no-install-recommends \ + build-essential \ + ffmpeg \ + libcairo2-dev \ + libpango1.0-dev \ + texlive \ + texlive-latex-extra \ + texlive-fonts-recommended \ + dvisvgm \ + pkg-config \ + python3-dev \ + sudo \ + && rm -rf /var/lib/apt/lists/* + +# Create a non-root user (Hugging Face requirement) +RUN useradd -m -u 1000 user +USER user +ENV HOME=/home/user \ + PATH=/home/user/.local/bin:$PATH + +WORKDIR $HOME/app + +# Copy requirements first to leverage Docker cache +COPY --chown=user requirements.txt . + +# Install Python dependencies +RUN pip install --no-cache-dir -r requirements.txt + +# Copy the rest of the application +COPY --chown=user . . + +# Make start script executable +RUN chmod +x start.sh + +# Expose the port (Hugging Face Spaces uses 7860 by default) +EXPOSE 7860 + +# Set environment variables +ENV PYTHONUNBUFFERED=1 + +# Run the start script +CMD ["./start.sh"] \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..2d43168521afa77b62e47f50b02bcd29adfa6355 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025 HyperCluster + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..bde1d174f954c80199e341dc9eed57d3c37cf5d6 --- /dev/null +++ b/README.md @@ -0,0 +1,7 @@ +title: Vidsimplify AI Video Generator +emoji: ๐ŸŽฌ +colorFrom: red +colorTo: purple +sdk: docker +pinned: false +app_port: 7860 diff --git a/api_client.py b/api_client.py new file mode 100644 index 0000000000000000000000000000000000000000..7a7bb6c93874edf0d2c1f35722370adb70d13371 --- /dev/null +++ b/api_client.py @@ -0,0 +1,364 @@ +""" +Python client library for Manim Video Generation API +""" + +import requests +import time +from typing import Optional, Dict, Any +from enum import Enum + + +class QualityLevel(str, Enum): + """Video quality levels""" + LOW = "low" + MEDIUM = "medium" + HIGH = "high" + ULTRA = "ultra" + + +class JobStatus(str, Enum): + """Job status""" + PENDING = "pending" + GENERATING_CODE = "generating_code" + RENDERING = "rendering" + COMPLETED = "completed" + FAILED = "failed" + + +class ManimVideoClient: + """Client for Manim Video Generation API""" + + def __init__(self, base_url: str = "http://localhost:8000"): + """ + Initialize client + + Args: + base_url: Base URL of the API server + """ + self.base_url = base_url.rstrip('/') + self.session = requests.Session() + + def create_video( + self, + prompt: str, + quality: QualityLevel = QualityLevel.HIGH, + scene_name: Optional[str] = None + ) -> Dict[str, Any]: + """ + Create a new video generation job + + Args: + prompt: Detailed animation prompt + quality: Video quality level + scene_name: Optional custom scene name + + Returns: + Job information including job_id + + Example: + >>> client = ManimVideoClient() + >>> job = client.create_video( + ... prompt="Explain bubble sort with animations", + ... quality=QualityLevel.HIGH + ... ) + >>> print(job['job_id']) + """ + response = self.session.post( + f"{self.base_url}/api/videos", + json={ + "prompt": prompt, + "quality": quality.value, + "scene_name": scene_name + } + ) + response.raise_for_status() + return response.json() + + def get_status(self, job_id: str) -> Dict[str, Any]: + """ + Get job status + + Args: + job_id: Job ID returned from create_video() + + Returns: + Job status information + + Example: + >>> status = client.get_status(job_id) + >>> print(status['status']) + >>> print(status['progress']['percentage']) + """ + response = self.session.get(f"{self.base_url}/api/jobs/{job_id}") + response.raise_for_status() + return response.json() + + def wait_for_completion( + self, + job_id: str, + poll_interval: int = 5, + timeout: Optional[int] = None, + callback: Optional[callable] = None + ) -> Dict[str, Any]: + """ + Wait for job to complete + + Args: + job_id: Job ID + poll_interval: Seconds between status checks + timeout: Maximum seconds to wait (None = no timeout) + callback: Optional function called with status on each poll + + Returns: + Final job status + + Example: + >>> def progress_callback(status): + ... print(f"{status['progress']['percentage']}%: {status['progress']['message']}") + >>> + >>> result = client.wait_for_completion( + ... job_id, + ... callback=progress_callback + ... ) + """ + start_time = time.time() + + while True: + status = self.get_status(job_id) + + if callback: + callback(status) + + if status['status'] in [JobStatus.COMPLETED, JobStatus.FAILED]: + return status + + if timeout and (time.time() - start_time > timeout): + raise TimeoutError(f"Job did not complete within {timeout} seconds") + + time.sleep(poll_interval) + + def download_video(self, job_id: str, output_path: str) -> str: + """ + Download completed video + + Args: + job_id: Job ID + output_path: Path to save video file + + Returns: + Path to downloaded file + + Example: + >>> client.download_video(job_id, "my_animation.mp4") + 'my_animation.mp4' + """ + response = self.session.get( + f"{self.base_url}/api/videos/{job_id}", + stream=True + ) + response.raise_for_status() + + with open(output_path, 'wb') as f: + for chunk in response.iter_content(chunk_size=8192): + f.write(chunk) + + return output_path + + def list_jobs(self, limit: int = 50) -> Dict[str, Any]: + """ + List all jobs + + Args: + limit: Maximum number of jobs to return + + Returns: + Dictionary with job list + + Example: + >>> jobs = client.list_jobs(limit=10) + >>> for job in jobs['jobs']: + ... print(f"{job['job_id']}: {job['status']}") + """ + response = self.session.get( + f"{self.base_url}/api/jobs", + params={"limit": limit} + ) + response.raise_for_status() + return response.json() + + def delete_job(self, job_id: str) -> Dict[str, Any]: + """ + Delete a job and its files + + Args: + job_id: Job ID + + Returns: + Deletion confirmation + + Example: + >>> client.delete_job(job_id) + {'message': 'Job deleted successfully', 'job_id': '...'} + """ + response = self.session.delete(f"{self.base_url}/api/jobs/{job_id}") + response.raise_for_status() + return response.json() + + def health_check(self) -> Dict[str, Any]: + """ + Check API health + + Returns: + Health status and statistics + + Example: + >>> health = client.health_check() + >>> print(f"Total jobs: {health['jobs']['total']}") + """ + response = self.session.get(f"{self.base_url}/health") + response.raise_for_status() + return response.json() + + def generate_and_download( + self, + prompt: str, + output_path: str, + quality: QualityLevel = QualityLevel.HIGH, + poll_interval: int = 5, + progress_callback: Optional[callable] = None + ) -> Dict[str, Any]: + """ + Complete workflow: create, wait, and download + + Args: + prompt: Animation prompt + output_path: Where to save video + quality: Video quality + poll_interval: Status check interval + progress_callback: Optional progress callback + + Returns: + Final job status + + Example: + >>> def show_progress(status): + ... pct = status['progress']['percentage'] + ... msg = status['progress']['message'] + ... print(f"[{pct}%] {msg}") + >>> + >>> client.generate_and_download( + ... prompt="Explain merge sort", + ... output_path="merge_sort.mp4", + ... progress_callback=show_progress + ... ) + """ + # Create job + job = self.create_video(prompt, quality) + job_id = job['job_id'] + + print(f"โœ“ Job created: {job_id}") + + # Wait for completion + result = self.wait_for_completion( + job_id, + poll_interval=poll_interval, + callback=progress_callback + ) + + if result['status'] == JobStatus.COMPLETED: + # Download video + self.download_video(job_id, output_path) + print(f"โœ“ Video downloaded: {output_path}") + return result + else: + raise Exception(f"Job failed: {result.get('error', 'Unknown error')}") + + +# ============================================================================ +# CLI Tool +# ============================================================================ + +def main(): + """Command-line interface""" + import argparse + + parser = argparse.ArgumentParser( + description="Manim Video Generation API Client" + ) + parser.add_argument( + "command", + choices=["create", "status", "download", "list", "generate"], + help="Command to execute" + ) + parser.add_argument("--prompt", help="Animation prompt") + parser.add_argument("--job-id", help="Job ID") + parser.add_argument("--output", "-o", help="Output file path") + parser.add_argument( + "--quality", + choices=["low", "medium", "high", "ultra"], + default="high", + help="Video quality" + ) + parser.add_argument( + "--url", + default="http://localhost:8000", + help="API base URL" + ) + + args = parser.parse_args() + client = ManimVideoClient(args.url) + + if args.command == "create": + if not args.prompt: + print("Error: --prompt required") + return + + job = client.create_video(args.prompt, QualityLevel(args.quality)) + print(f"Job created: {job['job_id']}") + print(f"Status: {job['status']}") + + elif args.command == "status": + if not args.job_id: + print("Error: --job-id required") + return + + status = client.get_status(args.job_id) + print(f"Job ID: {status['job_id']}") + print(f"Status: {status['status']}") + print(f"Progress: {status['progress']['percentage']}%") + print(f"Message: {status['progress']['message']}") + + elif args.command == "download": + if not args.job_id or not args.output: + print("Error: --job-id and --output required") + return + + path = client.download_video(args.job_id, args.output) + print(f"Downloaded: {path}") + + elif args.command == "list": + jobs = client.list_jobs() + print(f"Total jobs: {jobs['total']}") + for job in jobs['jobs']: + print(f" {job['job_id']}: {job['status']}") + + elif args.command == "generate": + if not args.prompt or not args.output: + print("Error: --prompt and --output required") + return + + def progress(status): + pct = status['progress']['percentage'] + msg = status['progress']['message'] + print(f"[{pct:3d}%] {msg}") + + client.generate_and_download( + args.prompt, + args.output, + QualityLevel(args.quality), + progress_callback=progress + ) + + +if __name__ == "__main__": + main() diff --git a/api_server.py b/api_server.py new file mode 100644 index 0000000000000000000000000000000000000000..c91c3fe77665c51eaf8c1c4da0483279d42a00a7 --- /dev/null +++ b/api_server.py @@ -0,0 +1,811 @@ +""" +Unified FastAPI Video Generation Server +Supports text prompts, PDFs, and URLs for all animation categories. +""" + +from fastapi import FastAPI, HTTPException, BackgroundTasks +from fastapi.responses import FileResponse, JSONResponse +from pydantic import BaseModel, Field +from typing import Optional, List, Dict, Any, Literal, Union +from enum import Enum +import uuid +import os +import json +import subprocess +import shutil +from datetime import datetime +from pathlib import Path +import asyncio +import logging +import base64 + +# Load environment variables from .env file +from dotenv import load_dotenv +load_dotenv() + +from manimator.api.animation_generation import generate_animation_response +from manimator.utils.code_fixer import CodeFixer +# from manimator.api.input_processor import process_input + +# Configure logging +logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' +) +logger = logging.getLogger("api_server_unified") + +# ============================================================================ +# Configuration +# ============================================================================ + +class Config: + """Application configuration""" + BASE_DIR = Path(__file__).parent + JOBS_DIR = BASE_DIR / "jobs" + VIDEOS_DIR = BASE_DIR / "media" / "videos" + MAX_JOB_AGE_DAYS = 7 + + # Ensure directories exist + JOBS_DIR.mkdir(exist_ok=True) + VIDEOS_DIR.mkdir(parents=True, exist_ok=True) + + +# ============================================================================ +# Models +# ============================================================================ + +class JobStatus(str, Enum): + """Job status enumeration""" + PENDING = "pending" + GENERATING_CODE = "generating_code" + RENDERING = "rendering" + COMPLETED = "completed" + FAILED = "failed" + + +class QualityLevel(str, Enum): + """Video quality levels""" + LOW = "low" # 480p15 + MEDIUM = "medium" # 720p30 + HIGH = "high" # 1080p60 + ULTRA = "ultra" # 4K60 + + +class AnimationCategory(str, Enum): + """Animation categories""" + TECH_SYSTEM = "tech_system" + PRODUCT_STARTUP = "product_startup" + MATHEMATICAL = "mathematical" + + +QUALITY_FLAGS = { + QualityLevel.LOW: "-pql", + QualityLevel.MEDIUM: "-pqm", + QualityLevel.HIGH: "-pqh", + QualityLevel.ULTRA: "-pqk", +} + + +class VideoRequest(BaseModel): + """Request model for video generation""" + input_type: Literal["text", "pdf", "url"] = Field(..., description="Type of input") + input_data: Union[str, bytes] = Field(..., description="Input data (text prompt, base64 PDF, or URL)") + quality: QualityLevel = Field(default=QualityLevel.HIGH, description="Video quality level") + category: AnimationCategory = Field(default=AnimationCategory.MATHEMATICAL, description="Animation category") + scene_name: Optional[str] = Field(default=None, description="Custom scene class name") + + class Config: + json_schema_extra = { + "example": { + "input_type": "text", + "input_data": "Explain how a distributed system handles requests", + "quality": "high", + "category": "tech_system" + } + } + + +class JobResponse(BaseModel): + """Response model for job creation""" + job_id: str + status: JobStatus + message: str + created_at: str + + +class JobStatusResponse(BaseModel): + """Response model for job status""" + job_id: str + status: JobStatus + category: str + progress: Dict[str, Any] + created_at: str + updated_at: str + error: Optional[str] = None + video_url: Optional[str] = None + duration: Optional[float] = None + + +# ============================================================================ +# Job Manager +# ============================================================================ + +class JobManager: + """Manages video generation jobs""" + + def __init__(self): + self.jobs: Dict[str, Dict] = {} + self._load_existing_jobs() + self._cleanup_task = None + + def _load_existing_jobs(self): + """Load existing jobs from disk""" + for job_file in Config.JOBS_DIR.glob("*.json"): + try: + with open(job_file) as f: + job_data = json.load(f) + self.jobs[job_data["job_id"]] = job_data + except Exception as e: + logger.error(f"Error loading job {job_file}: {e}") + + def create_job( + self, + input_type: str, + input_data: Union[str, bytes], + quality: QualityLevel, + category: AnimationCategory, + scene_name: Optional[str] = None + ) -> str: + """Create a new job""" + job_id = str(uuid.uuid4()) + + if not scene_name: + scene_name = f"Scene_{uuid.uuid4().hex[:8]}" + + job_data = { + "job_id": job_id, + "status": JobStatus.PENDING, + "input_type": input_type, + "quality": quality, + "category": category.value, + "scene_name": scene_name, + "created_at": datetime.now().isoformat(), + "updated_at": datetime.now().isoformat(), + "progress": { + "stage": "queued", + "percentage": 0, + "message": "Job queued for processing" + }, + "error": None, + "video_path": None, + "code_path": None, + } + + # Store input data (truncate if too long for display) + if input_type == "text": + job_data["input_preview"] = str(input_data)[:200] + "..." if len(str(input_data)) > 200 else str(input_data) + elif input_type == "url": + job_data["input_preview"] = str(input_data) + else: + job_data["input_preview"] = "[PDF file]" + + self.jobs[job_id] = job_data + self._save_job(job_id) + return job_id + + def update_job(self, job_id: str, **kwargs): + """Update job data""" + if job_id not in self.jobs: + return + + self.jobs[job_id].update(kwargs) + self.jobs[job_id]["updated_at"] = datetime.now().isoformat() + self._save_job(job_id) + + def get_job(self, job_id: str) -> Optional[Dict]: + """Get job by ID""" + return self.jobs.get(job_id) + + def _save_job(self, job_id: str): + """Save job to disk""" + # Ensure directory exists + Config.JOBS_DIR.mkdir(parents=True, exist_ok=True) + job_file = Config.JOBS_DIR / f"{job_id}.json" + with open(job_file, 'w') as f: + json.dump(self.jobs[job_id], f, indent=2) + + def list_jobs(self, limit: int = 50) -> List[Dict]: + """List recent jobs""" + jobs = sorted( + self.jobs.values(), + key=lambda x: x["created_at"], + reverse=True + ) + return jobs[:limit] + + def start_periodic_cleanup(self): + """Start periodic cleanup task (call this after event loop is running)""" + if self._cleanup_task is None: + self._cleanup_task = asyncio.create_task(self._periodic_cleanup()) + + async def _periodic_cleanup(self): + """Periodic cleanup of old jobs and voiceover cache""" + import time + # Wait a bit before starting cleanup + await asyncio.sleep(60) + while True: + try: + await asyncio.sleep(3600) # Run every hour + await self._cleanup_old_jobs() + await self._cleanup_old_voiceovers() + except Exception as e: + logger.warning(f"Periodic cleanup error: {e}") + + async def _cleanup_old_jobs(self): + """Remove old job files and their associated data""" + cutoff_date = datetime.now().timestamp() - (Config.MAX_JOB_AGE_DAYS * 24 * 3600) + removed_count = 0 + + for job_id, job_data in list(self.jobs.items()): + try: + job_time = datetime.fromisoformat(job_data["created_at"]).timestamp() + if job_time < cutoff_date: + # Remove job file + job_file = Config.JOBS_DIR / f"{job_id}.json" + if job_file.exists(): + job_file.unlink() + + # Remove from memory + del self.jobs[job_id] + removed_count += 1 + except Exception as e: + logger.warning(f"Error cleaning up job {job_id[:8]}: {e}") + + if removed_count > 0: + logger.info(f"๐Ÿงน Cleaned up {removed_count} old jobs") + + async def _cleanup_old_voiceovers(self): + """Clean up old voiceover cache files (keep recent ones)""" + import time + try: + # Clean both ElevenLabs and gTTS cache + for service_dir in ["elevenlabs", "gtts"]: + voiceover_dir = Config.BASE_DIR / "media" / "voiceover" / service_dir + if not voiceover_dir.exists(): + continue + + # Keep voiceover files from last 7 days + cutoff_time = time.time() - (7 * 24 * 3600) + removed_count = 0 + + for voice_file in voiceover_dir.glob("*.mp3"): + try: + if voice_file.stat().st_mtime < cutoff_time: + voice_file.unlink() + removed_count += 1 + except Exception: + pass + + if removed_count > 0: + logger.info(f"๐Ÿงน Cleaned up {removed_count} old {service_dir} voiceover files") + except Exception as e: + logger.warning(f"Error cleaning up voiceovers: {e}") + + +# ============================================================================ +# Video Generator +# ============================================================================ + +class VideoGenerator: + """Handles video generation workflow""" + + def __init__(self, job_manager: JobManager): + self.job_manager = job_manager + + async def generate_video(self, job_id: str): + """Generate video for a job""" + job = self.job_manager.get_job(job_id) + if not job: + return + + logger.info(f"๐ŸŽฌ Starting video generation for job {job_id[:8]}...") + + try: + # Stage 2: Generate Manim code + logger.info(f"๐Ÿค– Generating Manim code for job {job_id[:8]}...") + self.job_manager.update_job( + job_id, + status=JobStatus.GENERATING_CODE, + progress={ + "stage": "generating_code", + "percentage": 30, + "message": "Generating Manim code using AI..." + } + ) + + # Pass raw input to generation function which now handles processing + code = generate_animation_response( + input_data=job.get("input_data", ""), + input_type=job["input_type"], + category=job["category"] + ) + + logger.info(f"โœ… Code generation complete for job {job_id[:8]}...") + + # Save code + code_file = Config.BASE_DIR / f"scene_{job_id}.py" + with open(code_file, 'w') as f: + f.write(code) + + logger.info(f"๐Ÿ’พ Code saved to {code_file.name}") + + # Ensure voiceover directories exist + voiceover_dir = Config.BASE_DIR / "media" / "voiceover" + (voiceover_dir / "elevenlabs").mkdir(parents=True, exist_ok=True) + (voiceover_dir / "gtts").mkdir(parents=True, exist_ok=True) + + self.job_manager.update_job( + job_id, + code_path=str(code_file), + progress={ + "stage": "code_generated", + "percentage": 50, + "message": "Code generated successfully" + } + ) + + # Stage 3: Render video with Self-Healing Loop + fixer = CodeFixer() + max_retries = 3 + video_path = None + + for attempt in range(max_retries): + try: + logger.info(f"๐ŸŽฅ Starting Manim rendering for job {job_id[:8]} (Attempt {attempt+1}/{max_retries})...") + + self.job_manager.update_job( + job_id, + status=JobStatus.RENDERING, + progress={ + "stage": "rendering", + "percentage": 60 + (attempt * 5), + "message": f"Rendering video (Attempt {attempt+1})..." + } + ) + + video_path = await self._render_video( + code_file, + job["scene_name"], + QualityLevel(job["quality"]) + ) + + # If successful, break the loop + break + + except Exception as e: + error_msg = str(e) + logger.warning(f"โš ๏ธ Rendering failed on attempt {attempt+1}: {error_msg}") + + if attempt < max_retries - 1: + # Try to fix the code + logger.info(f"๐Ÿ”ง Attempting to auto-fix code for job {job_id[:8]}...") + + self.job_manager.update_job( + job_id, + progress={ + "stage": "fixing_code", + "percentage": 60 + (attempt * 5), + "message": f"Fixing rendering error..." + } + ) + + # Read current code + with open(code_file, 'r') as f: + current_code = f.read() + + # Fix code using LLM + fixed_code = fixer.fix_runtime_error(current_code, error_msg) + + # Save fixed code + with open(code_file, 'w') as f: + f.write(fixed_code) + + logger.info(f"๐Ÿ’พ Saved fixed code for job {job_id[:8]}") + else: + # Out of retries, re-raise exception + raise e + + logger.info(f"โœ… Video rendering complete for job {job_id[:8]}...") + + # Stage 4: Complete + self.job_manager.update_job( + job_id, + status=JobStatus.COMPLETED, + video_path=str(video_path), + progress={ + "stage": "completed", + "percentage": 100, + "message": "Video generation completed successfully!" + } + ) + + # Stage 5: Cleanup intermediate files in background + asyncio.create_task(self._cleanup_intermediate_files(job_id, code_file, video_path)) + + except Exception as e: + logger.error(f"โŒ Error generating video for job {job_id[:8]}: {str(e)}") + self.job_manager.update_job( + job_id, + status=JobStatus.FAILED, + error=str(e), + progress={ + "stage": "failed", + "percentage": 0, + "message": f"Error: {str(e)}" + } + ) + + async def _render_video(self, code_file: Path, scene_name: str, quality: QualityLevel) -> Path: + """Render Manim scene to video""" + quality_flag = QUALITY_FLAGS[quality] + + # Ensure ALL media directories exist before rendering + media_dir = Config.BASE_DIR / "media" + voiceover_dir = media_dir / "voiceover" / "elevenlabs" + voiceover_dir.mkdir(parents=True, exist_ok=True) + + # Also create gTTS cache directory in case of fallback + gtts_dir = media_dir / "voiceover" / "gtts" + gtts_dir.mkdir(parents=True, exist_ok=True) + + # Create videos directory structure + Config.VIDEOS_DIR.mkdir(parents=True, exist_ok=True) + + cmd = [ + "manim", + quality_flag, + "--media_dir", + str(Config.BASE_DIR / "media"), + str(code_file), + scene_name, + ] + + # Set working directory to base dir to ensure relative paths work + env = os.environ.copy() + # Set MEDIA_DIR as absolute path to help voiceover services find cache directory + env["MEDIA_DIR"] = str(media_dir.resolve()) + + process = await asyncio.create_subprocess_exec( + *cmd, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.PIPE, + cwd=str(Config.BASE_DIR), + env=env + ) + + stdout, stderr = await process.communicate() + + if process.returncode != 0: + error_output = stderr.decode()[-500:] if stderr else "Unknown error" + raise Exception(f"Manim rendering failed: {error_output}") + + # Find generated video + quality_dir = { + QualityLevel.LOW: "480p15", + QualityLevel.MEDIUM: "720p30", + QualityLevel.HIGH: "1080p60", + QualityLevel.ULTRA: "2160p60" + }[quality] + + video_dir = Config.VIDEOS_DIR / code_file.stem / quality_dir + video_files = list(video_dir.glob("*.mp4")) + + if not video_files: + raise Exception(f"No video file found in {video_dir}") + + video_path = video_files[0] + logger.info(f"๐Ÿ“น Found video: {video_path.name}") + + return video_path + + async def _cleanup_intermediate_files(self, job_id: str, code_file: Path, final_video_path: Path): + """ + Clean up intermediate files in background after video is successfully created. + Removes: scene code files, partial videos, voiceover files (keeps final video). + + Args: + job_id: Job ID + code_file: Path to generated scene code file + final_video_path: Path to final rendered video (keep this) + """ + try: + logger.info(f"๐Ÿงน Starting cleanup for job {job_id[:8]}...") + + # 1. Remove scene code file + if code_file.exists(): + try: + code_file.unlink() + logger.info(f" โœ… Removed scene code: {code_file.name}") + except Exception as e: + logger.warning(f" โš ๏ธ Could not remove scene code: {e}") + + # 2. Remove partial video files (keep only final video) + # Find all video files in the scene directory + scene_video_dir = Config.VIDEOS_DIR / code_file.stem + if scene_video_dir.exists(): + # Keep only the final video, remove all other quality versions and partial files + final_video_name = final_video_path.name + for quality_dir in scene_video_dir.iterdir(): + if quality_dir.is_dir(): + for video_file in quality_dir.glob("*.mp4"): + # Keep only the final video file + if video_file.name != final_video_name: + try: + video_file.unlink() + logger.info(f" โœ… Removed partial video: {video_file.name}") + except Exception as e: + logger.warning(f" โš ๏ธ Could not remove partial video: {e}") + + # Remove partial movie files directory if exists + partial_dir = quality_dir / "partial_movie_files" + if partial_dir.exists(): + try: + shutil.rmtree(partial_dir) + logger.info(f" โœ… Removed partial movie files directory") + except Exception as e: + logger.warning(f" โš ๏ธ Could not remove partial files: {e}") + + # 3. Remove voiceover files for this job (they're cached, so safe to remove) + # Voiceover files are cached by text hash, so we can't easily identify job-specific ones + # Instead, we'll clean up old voiceover files periodically (not per-job) + # This is handled by a separate cleanup task + + # 4. Remove any temporary files in media directory for this scene + scene_media_dir = Config.BASE_DIR / "media" / "videos" / code_file.stem + if scene_media_dir.exists(): + # Remove text SVGs, images, etc. but keep the final video directory structure + for item in scene_media_dir.iterdir(): + if item.is_file() and item.suffix in ['.svg', '.png', '.jpg', '.txt', '.srt']: + try: + item.unlink() + logger.info(f" โœ… Removed temporary file: {item.name}") + except Exception as e: + logger.warning(f" โš ๏ธ Could not remove temp file: {e}") + + logger.info(f"โœ… Cleanup completed for job {job_id[:8]}") + + except Exception as e: + # Don't fail the job if cleanup fails + logger.warning(f"โš ๏ธ Cleanup error for job {job_id[:8]}: {e}") + + +# ============================================================================ +# FastAPI Application +# ============================================================================ + +app = FastAPI( + title="Unified Manim Video Generation API", + description="Generate educational animation videos from text, PDFs, or URLs", + version="2.0.0", + docs_url="/docs", + redoc_url="/redoc" +) + +from fastapi.middleware.cors import CORSMiddleware + +app.add_middleware( + CORSMiddleware, + allow_origins=["http://localhost:3000", "http://localhost:8000"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +# Security +from fastapi import Security, HTTPException, status +from fastapi.security.api_key import APIKeyHeader + +API_KEY_NAME = "X-API-KEY" +API_KEY = os.getenv("INTERNAL_API_KEY") + +if not API_KEY: + logger.warning("โš ๏ธ INTERNAL_API_KEY is not set. API is insecure or will fail auth checks.") + +api_key_header = APIKeyHeader(name=API_KEY_NAME, auto_error=True) + +async def get_api_key(api_key_header: str = Security(api_key_header)): + if not API_KEY: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail="Server security configuration error" + ) + + if api_key_header != API_KEY: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail="Could not validate credentials" + ) + return api_key_header + +# Initialize managers +job_manager = JobManager() +video_generator = VideoGenerator(job_manager) + + +@app.on_event("startup") +async def startup_event(): + """Startup event - initialize background tasks""" + job_manager.start_periodic_cleanup() + logger.info("โœ… Background cleanup tasks started") + + +# ============================================================================ +# Endpoints +# ============================================================================ + +@app.get("/") +async def root(): + """API root endpoint""" + return { + "name": "Unified Manim Video Generation API", + "version": "2.0.0", + "description": "Supports text prompts, PDFs, and URLs", + "categories": ["tech_system", "product_startup", "mathematical"], + "input_types": ["text", "pdf", "url"], + "endpoints": { + "docs": "/docs", + "create_video": "POST /api/videos", + "get_status": "GET /api/jobs/{job_id}", + "download_video": "GET /api/videos/{job_id}", + "list_jobs": "GET /api/jobs" + } + } + + +@app.post("/api/videos", response_model=JobResponse) +async def create_video(request: VideoRequest, background_tasks: BackgroundTasks): + """ + Create a new video generation job + + Supports three input types: + - text: Plain text prompt + - pdf: Base64 encoded PDF file + - url: URL to scrape content from + """ + # Store input data in job + input_data = request.input_data + + # Create job + job_id = job_manager.create_job( + input_type=request.input_type, + input_data=input_data, + quality=request.quality, + category=request.category, + scene_name=request.scene_name + ) + + # Store full input data for processing + job_manager.jobs[job_id]["input_data"] = input_data + + logger.info(f"๐Ÿ“ New job created: {job_id} (type: {request.input_type}, category: {request.category})") + + # Start generation in background + background_tasks.add_task(video_generator.generate_video, job_id) + + return JobResponse( + job_id=job_id, + status=JobStatus.PENDING, + message="Job created successfully. Video generation started.", + created_at=datetime.now().isoformat() + ) + + +@app.get("/api/jobs/{job_id}", response_model=JobStatusResponse) +async def get_job_status(job_id: str): + """Get the status of a video generation job""" + job = job_manager.get_job(job_id) + + if not job: + raise HTTPException(status_code=404, detail="Job not found") + + video_url = None + duration = None + + if job["status"] == JobStatus.COMPLETED and job.get("video_path"): + video_url = f"/api/videos/{job_id}" + + # Get video duration if available + try: + video_path = Path(job["video_path"]) + if video_path.exists(): + result = subprocess.run( + ["ffprobe", "-v", "error", "-show_entries", "format=duration", + "-of", "default=noprint_wrappers=1:nokey=1", str(video_path)], + capture_output=True, + text=True + ) + duration = float(result.stdout.strip()) + except: + pass + + return JobStatusResponse( + job_id=job_id, + status=job["status"], + category=job["category"], + progress=job["progress"], + created_at=job["created_at"], + updated_at=job["updated_at"], + error=job.get("error"), + video_url=video_url, + duration=duration + ) + + +@app.get("/api/videos/{job_id}") +async def download_video(job_id: str): + """Download the generated video file""" + job = job_manager.get_job(job_id) + + if not job: + raise HTTPException(status_code=404, detail="Job not found") + + if job["status"] != JobStatus.COMPLETED: + raise HTTPException( + status_code=400, + detail=f"Video not ready. Status: {job['status']}" + ) + + video_path = Path(job["video_path"]) + if not video_path.exists(): + raise HTTPException(status_code=404, detail="Video file not found") + + return FileResponse( + video_path, + media_type="video/mp4", + filename=f"animation_{job_id[:8]}.mp4" + ) + + +@app.get("/api/jobs") +async def list_jobs(limit: int = 50): + """List recent jobs""" + jobs = job_manager.list_jobs(limit) + return {"jobs": jobs, "total": len(jobs)} + + +@app.get("/health") +async def health_check(): + """Health check endpoint""" + return { + "status": "healthy", + "version": "2.0.0", + "jobs": { + "total": len(job_manager.jobs), + "pending": sum(1 for j in job_manager.jobs.values() if j["status"] == JobStatus.PENDING), + "processing": sum(1 for j in job_manager.jobs.values() if j["status"] in [JobStatus.GENERATING_CODE, JobStatus.RENDERING]), + "completed": sum(1 for j in job_manager.jobs.values() if j["status"] == JobStatus.COMPLETED), + "failed": sum(1 for j in job_manager.jobs.values() if j["status"] == JobStatus.FAILED) + } + } + + +# ============================================================================ +# Main +# ============================================================================ + +if __name__ == "__main__": + import uvicorn + + print("๐Ÿš€ Starting Unified Manim Video Generation API Server...") + print("๐Ÿ“š API Documentation: http://localhost:8000/docs") + print("๐Ÿ” ReDoc Documentation: http://localhost:8000/redoc") + print("โœจ Supports: Text, PDF, and URL inputs") + print("๐ŸŽจ Categories: Tech System, Product Startup, Mathematical") + + uvicorn.run( + "api_server:app", + host="0.0.0.0", + port=8003, + reload=False, + log_level="info" + ) diff --git a/assets/manimator.png b/assets/manimator.png new file mode 100644 index 0000000000000000000000000000000000000000..73cc675f81ddf6d236b4de4abce96f60dc1700d1 Binary files /dev/null and b/assets/manimator.png differ diff --git a/docs/IMPLEMENTATION_COMPLETE.md b/docs/IMPLEMENTATION_COMPLETE.md new file mode 100644 index 0000000000000000000000000000000000000000..0c7db721af861da8d139b7800cd43f1f5aa873bc --- /dev/null +++ b/docs/IMPLEMENTATION_COMPLETE.md @@ -0,0 +1,162 @@ +# Implementation Complete โœ… + +All phases of the enhanced video generation system have been implemented. + +## What's New + +### 1. **Unified Input Support** +- โœ… Text prompts +- โœ… PDF files (base64 encoded) +- โœ… URL scraping (blogs, documentation, etc.) + +### 2. **Category-Specific Visual Themes** +- โœ… **Tech System**: Dark blue background (#0a0e27), professional diagrams +- โœ… **Product Startup**: White background (#ffffff), modern gradients +- โœ… **Research/Mathematical**: Dark background (#1e1e1e), educational style + +### 3. **Robust Code Validation & Auto-Fix** +- โœ… Pre-render syntax validation +- โœ… Import checking +- โœ… Structure validation +- โœ… Auto-fix common issues +- โœ… Retry with fallback models + +### 4. **Unified API Server** +- โœ… Single endpoint for all input types +- โœ… Async job processing +- โœ… Progress tracking +- โœ… Error handling + +## New Files Created + +### Core Components +- `manimator/services/web_scraper.py` - Web content scraping +- `manimator/api/input_processor.py` - Unified input handler +- `manimator/utils/visual_themes.py` - Theme configurations +- `manimator/utils/theme_injector.py` - Theme code injection +- `manimator/utils/code_validator.py` - Code validation +- `manimator/utils/code_fixer.py` - Auto-fix functionality +- `manimator/utils/validation_pipeline.py` - Complete validation pipeline +- `api_server_unified.py` - New unified API server + +### Modified Files +- `manimator/api/scene_description.py` - Added URL processing +- `manimator/api/animation_generation.py` - Added validation & retry logic +- `manimator/utils/system_prompts.py` - Enhanced with theme instructions +- `pyproject.toml` - Added new dependencies + +## Dependencies Added + +```toml +beautifulsoup4 = "^4.12.0" +requests = "^2.31.0" +readability-lxml = "^0.8.1" +``` + +## How to Use + +### Start the Unified API Server + +```bash +python api_server_unified.py +``` + +Server runs on `http://localhost:8000` + +### API Endpoints + +#### Create Video +```bash +POST /api/videos +{ + "input_type": "text|pdf|url", + "input_data": "...", + "quality": "low|medium|high|ultra", + "category": "tech_system|product_startup|mathematical" +} +``` + +#### Check Job Status +```bash +GET /api/jobs/{job_id} +``` + +#### Download Video +```bash +GET /api/videos/{job_id} +``` + +### Example Requests + +**Text Input:** +```json +{ + "input_type": "text", + "input_data": "Explain how a distributed system handles requests", + "category": "tech_system", + "quality": "high" +} +``` + +**URL Input:** +```json +{ + "input_type": "url", + "input_data": "https://example.com/blog/post", + "category": "product_startup", + "quality": "medium" +} +``` + +**PDF Input:** +```json +{ + "input_type": "pdf", + "input_data": "base64_encoded_pdf_string", + "category": "mathematical", + "quality": "high" +} +``` + +## Features + +### Visual Themes +Each category has distinct visual styling: +- **Tech**: Dark professional backgrounds, architecture diagrams +- **Product**: Light modern backgrounds, UI elements, gradients +- **Research**: Dark educational backgrounds, mathematical equations + +### Error Handling +- Automatic code validation before rendering +- Auto-fix for common issues (missing imports, undefined colors, etc.) +- Retry with fallback models if generation fails +- Detailed error messages + +### Input Processing +- **Text**: Direct prompt processing +- **PDF**: Base64 decoding and content extraction +- **URL**: Web scraping with content extraction + +## Next Steps + +1. Install new dependencies: + ```bash + poetry install + ``` + +2. Test the unified server: + ```bash + python api_server_unified.py + ``` + +3. Try different input types and categories + +4. Monitor job status and video generation + +## Notes + +- The unified server replaces the need for separate 2D/3D servers +- All categories use the same code generation pipeline with different themes +- Web scraping respects robots.txt and handles authentication errors gracefully +- Code validation prevents most rendering failures + diff --git a/docs/IMPLEMENTATION_PLAN.md b/docs/IMPLEMENTATION_PLAN.md new file mode 100644 index 0000000000000000000000000000000000000000..619e570a2865def12828ffbeb94c728c161cfd7b --- /dev/null +++ b/docs/IMPLEMENTATION_PLAN.md @@ -0,0 +1,293 @@ +# Implementation Plan: Enhanced Video Generation System + +## Phase 1: Unified Input Processor + +### 1.1 Create Web Content Scraper +**File**: `manimator/utils/web_scraper.py` +- Use `requests` + `beautifulsoup4` for HTML parsing +- Extract main content, remove navigation/ads +- Support: blogs, documentation sites, Medium, Dev.to, etc. +- Handle authentication-required pages (return error with clear message) +- Extract text content and structure (headings, paragraphs, code blocks) +- Convert to structured format similar to PDF processing + +**Dependencies to add**: +```python +beautifulsoup4>=4.12.0 +requests>=2.31.0 +readability-lxml>=0.8.1 # For cleaner content extraction +``` + +### 1.2 Unified Input Handler +**File**: `manimator/api/input_processor.py` +- Single entry point: `process_input(input_type, input_data, category)` +- Input types: `text`, `pdf`, `url` +- Route to appropriate processor: + - Text โ†’ `process_prompt_scene()` + - PDF โ†’ `process_pdf_prompt()` + - URL โ†’ new `process_url_content()` +- Return standardized scene description format + +### 1.3 URL Content Processor +**File**: `manimator/api/scene_description.py` (extend existing) +- Function: `process_url_content(url: str) -> str` +- Scrape web content +- Extract main text (similar to PDF processing) +- Generate scene description using LLM with web content context +- Handle errors: invalid URLs, access denied, parsing failures + +--- + +## Phase 2: Category-Specific Visual Themes + +### 2.1 Theme Configuration System +**File**: `manimator/utils/visual_themes.py` +- Define theme configs for each category: + ```python + TECH_THEME = { + "background_color": "#0a0e27", # Dark blue + "accent_colors": [BLUE, GREEN, ORANGE, RED, PURPLE], + "text_color": WHITE, + "component_style": "rounded_rectangles", + "animation_style": "professional", + "voice_id": "Adam" + } + + PRODUCT_THEME = { + "background_color": "#ffffff", # White/light + "accent_colors": [ORANGE, BLUE, PURPLE, GREEN], + "text_color": "#1a1a1a", + "component_style": "modern_gradients", + "animation_style": "engaging", + "voice_id": "Bella" + } + + RESEARCH_THEME = { + "background_color": "#1e1e1e", # Dark + "accent_colors": [BLUE, GREEN, YELLOW, RED], + "text_color": WHITE, + "component_style": "mathematical", + "animation_style": "educational", + "voice_id": "Rachel" + } + ``` + +### 2.2 Theme Injection into System Prompts +**File**: `manimator/utils/system_prompts.py` (modify) +- Update `get_system_prompt(category)` to include theme instructions +- Add theme-specific code snippets to each prompt: + - Tech: Dark background setup, component colors + - Product: Light background, gradient examples + - Research: Dark background, equation styling +- Include background setup code in each prompt template + +### 2.3 Background Setup Code Generator +**File**: `manimator/utils/theme_injector.py` +- Function: `inject_theme_setup(code: str, category: str) -> str` +- Parse generated code +- Insert background setup at start of `construct()` method: + ```python + # Tech theme + self.camera.background_color = "#0a0e27" + + # Product theme + self.camera.background_color = "#ffffff" + + # Research theme + self.camera.background_color = "#1e1e1e" + ``` +- Ensure theme colors are used consistently + +--- + +## Phase 3: Enhanced Code Validation & Error Handling + +### 3.1 Pre-Render Code Validator +**File**: `manimator/utils/code_validator.py` +- Function: `validate_code(code: str) -> Tuple[bool, List[str]]` +- Checks: + - Valid Python syntax (use `ast.parse()`) + - Required imports present (`from manim import *`, `VoiceoverScene`, `ElevenLabsService`) + - Scene class inherits from `VoiceoverScene` + - `construct()` method exists + - Voiceover service initialized + - No undefined variables/colors + - No overlapping object warnings (spatial analysis) +- Return: (is_valid, list_of_errors) + +### 3.2 Code Fixer +**File**: `manimator/utils/code_fixer.py` +- Function: `auto_fix_code(code: str, errors: List[str]) -> str` +- Auto-fixes: + - Missing imports (add if not present) + - Undefined colors (use existing `fix_undefined_colors()`) + - Missing voiceover setup (inject if missing) + - Syntax errors (try to fix common issues) +- Use existing `code_postprocessor.py` functions +- Chain fixes until valid or max attempts + +### 3.3 Retry Logic with Model Fallback +**File**: `manimator/api/animation_generation.py` (modify) +- Enhanced `generate_animation_response()`: + - Try generation with primary model + - Validate code + - If invalid, try auto-fix + - If still invalid, retry with different model (fallback) + - Max 3 attempts total + - Return best valid code or raise clear error + +### 3.4 Render Error Handler +**File**: `manimator/utils/schema.py` (modify `ManimProcessor`) +- Enhanced `render_scene()`: + - Capture full error output + - Parse common Manim errors: + - LaTeX errors โ†’ suggest fixes + - Import errors โ†’ auto-add imports + - Scene not found โ†’ validate class name + - Return detailed error messages + - Attempt auto-fix and re-render if possible + +--- + +## Phase 4: Unified API Server + +### 4.1 New Unified API Server +**File**: `api_server_unified.py` +- Single server handling all input types and categories +- Endpoints: + - `POST /api/videos` - Create video (text/PDF/URL) + - `GET /api/jobs/{job_id}` - Check status + - `GET /api/videos/{job_id}` - Download video + - `GET /api/jobs` - List jobs +- Request model: + ```python + class VideoRequest(BaseModel): + input_type: Literal["text", "pdf", "url"] + input_data: str # text prompt, PDF bytes (base64), or URL + category: Literal["tech_system", "product_startup", "mathematical"] + quality: QualityLevel + scene_name: Optional[str] = None + ``` + +### 4.2 Input Router +**File**: `manimator/api/input_router.py` +- Route based on `input_type`: + - `text` โ†’ `process_prompt_scene()` + - `pdf` โ†’ `process_pdf_prompt()` (decode base64) + - `url` โ†’ `process_url_content()` +- All return scene description โ†’ pass to `generate_animation_response()` + +### 4.3 Job Manager Enhancement +**File**: `api_server_unified.py` (extend existing JobManager) +- Track input type and category +- Store theme used +- Better error messages with category context + +--- + +## Phase 5: System Prompts Enhancement + +### 5.1 Category-Specific Prompt Templates +**File**: `manimator/utils/system_prompts.py` (enhance existing) +- **Tech System Prompt**: + - Emphasize architecture diagrams + - Component-based visuals + - Dark background setup + - Professional color scheme + - Data flow animations + +- **Product Startup Prompt**: + - Modern UI elements + - Gradient backgrounds + - Light/colorful theme + - Feature showcases + - Statistics displays + +- **Research/Mathematical Prompt**: + - Equation-heavy + - Dark background + - Step-by-step proofs + - Graph visualizations + - Educational pacing + +### 5.2 Few-Shot Examples Update +**File**: `manimator/few_shot/few_shot_prompts.py` +- Add category-specific examples: + - Tech: System architecture example + - Product: Feature demo example + - Research: Mathematical proof example +- Include theme setup in examples + +--- + +## Phase 6: Testing & Validation Pipeline + +### 6.1 Code Validation Pipeline +**File**: `manimator/utils/validation_pipeline.py` +- Pre-render checks: + 1. Syntax validation + 2. Import validation + 3. Structure validation + 4. Theme compliance + 5. Auto-fix attempts +- Post-render checks: + 1. Video file exists + 2. Video duration > 0 + 3. Video is playable + +### 6.2 Error Recovery +- If validation fails โ†’ auto-fix โ†’ re-validate +- If auto-fix fails โ†’ retry generation with different model +- If all fails โ†’ return detailed error to user + +--- + +## Implementation Order + +1. **Week 1**: Phase 1 (Input Processor) + Phase 2 (Themes) +2. **Week 2**: Phase 3 (Validation) + Phase 5 (Prompts) +3. **Week 3**: Phase 4 (Unified API) + Phase 6 (Testing) + +--- + +## File Structure Changes + +``` +manimator/ +โ”œโ”€โ”€ api/ +โ”‚ โ”œโ”€โ”€ animation_generation.py (existing, enhance) +โ”‚ โ”œโ”€โ”€ scene_description.py (existing, extend) +โ”‚ โ”œโ”€โ”€ input_processor.py (NEW) +โ”‚ โ””โ”€โ”€ input_router.py (NEW) +โ”œโ”€โ”€ utils/ +โ”‚ โ”œโ”€โ”€ code_postprocessor.py (existing) +โ”‚ โ”œโ”€โ”€ code_validator.py (NEW) +โ”‚ โ”œโ”€โ”€ code_fixer.py (NEW) +โ”‚ โ”œโ”€โ”€ visual_themes.py (NEW) +โ”‚ โ”œโ”€โ”€ theme_injector.py (NEW) +โ”‚ โ””โ”€โ”€ validation_pipeline.py (NEW) +โ””โ”€โ”€ services/ + โ””โ”€โ”€ web_scraper.py (NEW) + +api_server_unified.py (NEW - main server) +``` + +--- + +## Dependencies to Add + +```toml +beautifulsoup4 = "^4.12.0" +requests = "^2.31.0" +readability-lxml = "^0.8.1" +``` + +--- + +## Key Success Metrics + +1. **Reliability**: < 5% code generation failures +2. **Visual Differentiation**: Clear visual distinction between categories +3. **Error Recovery**: 80%+ of errors auto-fixed +4. **Input Support**: All 3 input types working (text/PDF/URL) + diff --git a/ensure_rpc.sql b/ensure_rpc.sql new file mode 100644 index 0000000000000000000000000000000000000000..3139839b2fa55eac6539e010d3bda3d84a5d70ea --- /dev/null +++ b/ensure_rpc.sql @@ -0,0 +1,33 @@ +create or replace function public.handle_user_login( + user_email text, + user_full_name text, + user_avatar_url text +) +returns void +language plpgsql +security definer +as $$ +declare + current_user_id uuid; +begin + current_user_id := auth.uid(); + if current_user_id is null then + raise exception 'Not authenticated'; + end if; + + insert into public.users (id, email, full_name, avatar_url, credits) + values ( + current_user_id, + user_email, + user_full_name, + user_avatar_url, + 5 + ) + on conflict (id) do update set + email = excluded.email, + full_name = excluded.full_name, + avatar_url = excluded.avatar_url; +end; +$$; + +grant execute on function public.handle_user_login to authenticated; diff --git a/fix_columns_and_trigger.sql b/fix_columns_and_trigger.sql new file mode 100644 index 0000000000000000000000000000000000000000..149d23e99d30a8be30bb9c6ea397854af3ab42ca --- /dev/null +++ b/fix_columns_and_trigger.sql @@ -0,0 +1,52 @@ +-- 1. Add missing columns if they don't exist +DO $$ +BEGIN + IF NOT EXISTS (SELECT 1 FROM information_schema.columns WHERE table_name = 'users' AND column_name = 'full_name') THEN + ALTER TABLE public.users ADD COLUMN full_name text; + END IF; + + IF NOT EXISTS (SELECT 1 FROM information_schema.columns WHERE table_name = 'users' AND column_name = 'avatar_url') THEN + ALTER TABLE public.users ADD COLUMN avatar_url text; + END IF; + + IF NOT EXISTS (SELECT 1 FROM information_schema.columns WHERE table_name = 'users' AND column_name = 'credits') THEN + ALTER TABLE public.users ADD COLUMN credits integer default 5; + END IF; +END $$; + +-- 2. Create the Trigger Function (Updated to be safe) +create or replace function public.handle_new_user() +returns trigger as $$ +begin + insert into public.users (id, email, full_name, avatar_url, credits) + values ( + new.id, + new.email, + new.raw_user_meta_data->>'full_name', + new.raw_user_meta_data->>'avatar_url', + 5 + ) + ON CONFLICT (id) DO UPDATE SET + email = EXCLUDED.email, + full_name = EXCLUDED.full_name, + avatar_url = EXCLUDED.avatar_url; + return new; +end; +$$ language plpgsql security definer; + +-- 3. Create the Trigger +drop trigger if exists on_auth_user_created on auth.users; +create trigger on_auth_user_created + after insert on auth.users + for each row execute procedure public.handle_new_user(); + +-- 4. Backfill existing users +insert into public.users (id, email, full_name, avatar_url, credits) +select + id, + email, + raw_user_meta_data->>'full_name', + raw_user_meta_data->>'avatar_url', + 5 +from auth.users +where id not in (select id from public.users); diff --git a/fix_rls.sql b/fix_rls.sql new file mode 100644 index 0000000000000000000000000000000000000000..9c6e0ca811fb04d3fbfddedc23114fe72828e343 --- /dev/null +++ b/fix_rls.sql @@ -0,0 +1,24 @@ +-- Enable RLS +ALTER TABLE public.users ENABLE ROW LEVEL SECURITY; + +-- Allow users to insert their own profile +CREATE POLICY "Users can insert their own profile" +ON public.users +FOR INSERT +WITH CHECK (auth.uid() = id); + +-- Allow users to view their own profile +CREATE POLICY "Users can view their own profile" +ON public.users +FOR SELECT +USING (auth.uid() = id); + +-- Allow users to update their own profile +CREATE POLICY "Users can update their own profile" +ON public.users +FOR UPDATE +USING (auth.uid() = id); + +-- Grant access to authenticated users +GRANT ALL ON public.users TO authenticated; +GRANT ALL ON public.users TO service_role; diff --git a/frontend/.env.example b/frontend/.env.example new file mode 100644 index 0000000000000000000000000000000000000000..d0b433cb6f72a15f0823ebf2f3f0fac6cf22a33e --- /dev/null +++ b/frontend/.env.example @@ -0,0 +1,14 @@ +# Google Authentication +GOOGLE_CLIENT_ID=your_google_client_id_here +GOOGLE_CLIENT_SECRET=your_google_client_secret_here +NEXTAUTH_URL=http://localhost:3000 +NEXTAUTH_SECRET=generate_a_random_string_here + +# Internal Security +INTERNAL_API_KEY=secure-internal-key-123 + +# Database (Supabase / Postgres) +# Connect to port 6543 (Transaction Pooler) for DATABASE_URL +DATABASE_URL="postgresql://postgres.[project-ref]:[password]@aws-0-[region].pooler.supabase.com:6543/postgres?pgbouncer=true" +# Connect to port 5432 (Session) for DIRECT_URL (Used for migrations) +DIRECT_URL="postgresql://postgres.[project-ref]:[password]@aws-0-[region].supabase.co:5432/postgres" diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..5961ba9564585e1150f40194621dd4d7fce935ba --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,30 @@ +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# local env files +.env*.local + +# vercel +.vercel diff --git a/frontend/README.md b/frontend/README.md new file mode 100644 index 0000000000000000000000000000000000000000..7406f41e66519f57f45dca57655f5ffe07ef6b0c --- /dev/null +++ b/frontend/README.md @@ -0,0 +1,35 @@ +# VidSimplify Frontend + +This is the Next.js frontend for the VidSimplify video generation platform. + +## ๐Ÿš€ Getting Started + +1. **Install Dependencies**: + ```bash + npm install + ``` + +2. **Run Development Server**: + ```bash + npm run dev + ``` + +3. **Open in Browser**: + Navigate to [http://localhost:3000](http://localhost:3000). + +## ๐Ÿ—๏ธ Architecture + +- **Framework**: Next.js 14 (App Router) +- **Styling**: Tailwind CSS +- **Icons**: Lucide React +- **Animations**: Framer Motion +- **API Client**: `src/lib/api.ts` connects to the Python backend at `http://localhost:8000`. + +## ๐Ÿ“„ Pages + +- `/` - Landing page with features and demo. +- `/app` - Main application for generating videos. + +## ๐Ÿ”ง Configuration + +The API URL is configured in `src/lib/api.ts`. Default is `http://localhost:8000`. diff --git a/frontend/eslint.config.mjs b/frontend/eslint.config.mjs new file mode 100644 index 0000000000000000000000000000000000000000..05e726d1b4201bc8c7716d2b058279676582e8c0 --- /dev/null +++ b/frontend/eslint.config.mjs @@ -0,0 +1,18 @@ +import { defineConfig, globalIgnores } from "eslint/config"; +import nextVitals from "eslint-config-next/core-web-vitals"; +import nextTs from "eslint-config-next/typescript"; + +const eslintConfig = defineConfig([ + ...nextVitals, + ...nextTs, + // Override default ignores of eslint-config-next. + globalIgnores([ + // Default ignores of eslint-config-next: + ".next/**", + "out/**", + "build/**", + "next-env.d.ts", + ]), +]); + +export default eslintConfig; diff --git a/frontend/next-env.d.ts b/frontend/next-env.d.ts new file mode 100644 index 0000000000000000000000000000000000000000..40c3d68096c270ef976f3db4e9eb42b05c7067bb --- /dev/null +++ b/frontend/next-env.d.ts @@ -0,0 +1,5 @@ +/// +/// + +// NOTE: This file should not be edited +// see https://nextjs.org/docs/app/building-your-application/configuring/typescript for more information. diff --git a/frontend/next.config.mjs b/frontend/next.config.mjs new file mode 100644 index 0000000000000000000000000000000000000000..05cf2fe333177f693bb0c2ada9b466c140b4fae1 --- /dev/null +++ b/frontend/next.config.mjs @@ -0,0 +1,17 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + images: { + remotePatterns: [ + { + protocol: 'https', + hostname: 'lh3.googleusercontent.com', + }, + { + protocol: 'https', + hostname: 'googleusercontent.com', + } + ], + }, +}; + +export default nextConfig; diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000000000000000000000000000000000000..1ca731c3f7d09ab7732dc32d4e05b66f289002be --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,7143 @@ +{ + "name": "frontend", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + 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true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "eslint" + }, + "dependencies": { + "@radix-ui/react-avatar": "^1.1.11", + "@radix-ui/react-dropdown-menu": "^2.1.16", + "@radix-ui/react-slot": "^1.2.4", + "@radix-ui/react-tabs": "^1.1.13", + "@supabase/auth-helpers-nextjs": "^0.15.0", + "@supabase/ssr": "^0.8.0", + "@supabase/supabase-js": "^2.86.0", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "framer-motion": "^12.23.24", + "lucide-react": "^0.554.0", + "next": "^14.2.3", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "tailwind-merge": "^3.4.0" + }, + "devDependencies": { + "@tailwindcss/postcss": "^4", + "@types/node": "^20", + "@types/react": "^18.3.27", + "@types/react-dom": "^18.3.7", + "babel-plugin-react-compiler": "1.0.0", + "eslint": "^9", + "eslint-config-next": "16.0.3", + "tailwindcss": "^4", + "typescript": "^5" + } +} diff --git a/frontend/postcss.config.mjs b/frontend/postcss.config.mjs new file mode 100644 index 0000000000000000000000000000000000000000..61e36849cf7cfa9f1f71b4a3964a4953e3e243d3 --- /dev/null +++ b/frontend/postcss.config.mjs @@ -0,0 +1,7 @@ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/frontend/public/file.svg b/frontend/public/file.svg new file mode 100644 index 0000000000000000000000000000000000000000..004145cddf3f9db91b57b9cb596683c8eb420862 --- /dev/null +++ b/frontend/public/file.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/globe.svg b/frontend/public/globe.svg new file mode 100644 index 0000000000000000000000000000000000000000..567f17b0d7c7fb662c16d4357dd74830caf2dccb --- /dev/null +++ b/frontend/public/globe.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/logo-full.jpg b/frontend/public/logo-full.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c123d471acbe12eb99f2d9188ab14024f24864dc Binary files /dev/null and b/frontend/public/logo-full.jpg differ diff --git a/frontend/public/logo-icon.jpg b/frontend/public/logo-icon.jpg new file mode 100644 index 0000000000000000000000000000000000000000..db19731ec172c3a19eeb0dc6a464d02f6535471c Binary files /dev/null and b/frontend/public/logo-icon.jpg differ diff --git a/frontend/public/logo.svg b/frontend/public/logo.svg new file mode 100644 index 0000000000000000000000000000000000000000..ff1a90e9d3c110f5ef14dc77d45e01ec8edfc2fb --- /dev/null +++ b/frontend/public/logo.svg @@ -0,0 +1,11 @@ + + + + + + + + + + + diff --git a/frontend/public/next.svg b/frontend/public/next.svg new file mode 100644 index 0000000000000000000000000000000000000000..5174b28c565c285e3e312ec5178be64fbeca8398 --- /dev/null +++ b/frontend/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/robots.txt b/frontend/public/robots.txt new file mode 100644 index 0000000000000000000000000000000000000000..98c5daa1b56c344ae0aeb6803fb89945ebb286f7 --- /dev/null +++ b/frontend/public/robots.txt @@ -0,0 +1,4 @@ +User-agent: * +Allow: / +Disallow: /app/ +Disallow: /api/ diff --git a/frontend/public/vercel.svg b/frontend/public/vercel.svg new file mode 100644 index 0000000000000000000000000000000000000000..77053960334e2e34dc584dea8019925c3b4ccca9 --- /dev/null +++ b/frontend/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/window.svg b/frontend/public/window.svg new file mode 100644 index 0000000000000000000000000000000000000000..b2b2a44f6ebc70c450043c05a002e7a93ba5d651 --- /dev/null +++ b/frontend/public/window.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/src/app/api-docs/page.tsx b/frontend/src/app/api-docs/page.tsx new file mode 100644 index 0000000000000000000000000000000000000000..566711bdeae8ff48e5bce00761615fdfe6740b68 --- /dev/null +++ b/frontend/src/app/api-docs/page.tsx @@ -0,0 +1,166 @@ +"use client"; + +import { Navbar } from "@/components/landing/Navbar"; +import { Button } from "@/components/ui/button"; +import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; +import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"; +import { Check, Copy, Terminal, Play, BarChart3, Coins } from "lucide-react"; + +export default function ApiDocs() { + return ( +
+ + +
+
+

VidSimplify API

+

+ Integrate precision animation generation directly into your product. + Simple, RESTful, and scalable. +

+
+ +
+ {/* Main Documentation Area */} +
+ + + + + Quick Start + + + Generate your first video in 3 steps + + + + + + Python + cURL + Node.js + + + +
+
+ # 1. Create a video job + +
+ 
import requests
+ 
+                                                {`response = requests.post(
+  "https://api.vidsimplify.com/v1/videos",
+  headers={"Authorization": "Bearer YOUR_API_KEY"},
+  json={
+    "prompt": "Explain database sharding",
+    "category": "tech_system",
+    "duration_minutes": 5
+  }
+)
+
+job_id = response.json()["job_id"]
+print(f"Job started: {job_id}")`}
+
+
+ + + +
+ 
+                                                {`curl -X POST https://api.vidsimplify.com/v1/videos \\
+  -H "Authorization: Bearer YOUR_API_KEY" \\
+  -H "Content-Type: application/json" \\
+  -d '{
+    "prompt": "Explain database sharding",
+    "category": "tech_system"
+  }'`}
+
+
+ + + + + + + + Endpoints + + + {[ + { method: "POST", path: "/v1/videos", desc: "Create a new video generation job" }, + { method: "GET", path: "/v1/jobs/{job_id}", desc: "Check generation status and progress" }, + { method: "GET", path: "/v1/videos/{video_id}/download", desc: "Get secure download URL" }, + { method: "GET", path: "/v1/usage", desc: "Get current billing period usage" } + ].map((ep, i) => ( +
+
+ + {ep.method} + + {ep.path} +
+ {ep.desc} +
+ ))} + + +
+ + {/* Sidebar / Dashboard Simulation */} +
+ + + + + Usage & Cost + + + +
+
+
+ API Calls + 8,432 / 10,000 +
+
+
+
+
+ +
+
+ Video Minutes + 450 / 500 +
+
+
+
+
+ +
+
+ Current Bill + $45.00 +
+
+
+ + + +
+

Enterprise Plan

+

+ Need higher limits or dedicated rendering clusters? +

+ +
+
+
+
+
+ ); +} diff --git a/frontend/src/app/api/auth/sync/route.ts b/frontend/src/app/api/auth/sync/route.ts new file mode 100644 index 0000000000000000000000000000000000000000..9089e45e2a0e98e203c1e1037d94f6c07592ee7f --- /dev/null +++ b/frontend/src/app/api/auth/sync/route.ts @@ -0,0 +1,98 @@ +import { createServerClient, type CookieOptions } from '@supabase/ssr' +import { cookies } from 'next/headers' +import { NextResponse } from 'next/server' + +export async function POST() { + console.log("\n๐Ÿ”„ === SYNC API CALLED ==="); + const cookieStore = cookies() + + // Debug: Log all cookies to see if auth token is present + const allCookies = cookieStore.getAll().map(c => c.name); + console.log("Cookies received:", allCookies); + + // Create authenticated Supabase client + const supabase = createServerClient( + process.env.NEXT_PUBLIC_SUPABASE_URL!, + process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!, + { + cookies: { + get(name: string) { + return cookieStore.get(name)?.value + }, + set(name: string, value: string, options: CookieOptions) { + try { + cookieStore.set({ name, value, ...options }) + } catch (error) { + // Route handlers can't set cookies in some Next.js versions/contexts, + // but we only need to READ them for auth here. + } + }, + remove(name: string, options: CookieOptions) { + try { + cookieStore.delete({ name, ...options }) + } catch (error) { + // Ignore + } + }, + }, + } + ) + + // Get current user + console.log("Getting current user..."); + const { data: { user }, error: authError } = await supabase.auth.getUser() + + if (authError || !user) { + console.error("โŒ Not authenticated:", authError?.message); + return NextResponse.json({ error: 'Not authenticated', details: authError?.message }, { status: 401 }) + } + + console.log("โœ… User authenticated:", user.id); + + try { + // Check if user exists + console.log("Checking if user exists in DB..."); + const { data: existingUser, error: fetchError } = await supabase + .from('users') + .select('id') + .eq('id', user.id) + .single() + + console.log("Fetch result:", { existingUser, fetchError }); + + if (!existingUser) { + console.log(`๐Ÿ”„ User ${user.id} not found. Inserting...`) + + const insertData = { + id: user.id, + email: user.email, + full_name: user.user_metadata.full_name || null, + avatar_url: user.user_metadata.avatar_url || null, + credits: 5 + }; + + console.log("Insert data:", insertData); + + // Insert user using the AUTHENTICATED client (acting as the user) + const { data: insertResult, error: insertError } = await supabase + .from('users') + .insert(insertData) + .select() + + if (insertError) { + console.error('โŒ Sync insert error:', insertError) + return NextResponse.json({ error: insertError.message }, { status: 500 }) + } + + console.log("โœ… User created successfully:", insertResult); + return NextResponse.json({ status: 'created', user: insertResult }) + } + + console.log("โœ… User already exists"); + return NextResponse.json({ status: 'exists' }) + + } catch (err) { + console.error('โŒ Sync error:', err) + return NextResponse.json({ error: 'Internal Server Error' }, { status: 500 }) + } +} diff --git a/frontend/src/app/api/generate/route.ts b/frontend/src/app/api/generate/route.ts new file mode 100644 index 0000000000000000000000000000000000000000..1abb4de4218f7b47039a578b751cddaba7434d8b --- /dev/null +++ b/frontend/src/app/api/generate/route.ts @@ -0,0 +1,149 @@ + +import { NextResponse } from "next/server"; +import { createServerClient, type CookieOptions } from '@supabase/ssr' +import { cookies } from "next/headers"; +import { supabase as supabaseAdmin } from "@/lib/supabase"; + +const PYTHON_API_URL = process.env.PYTHON_API_URL || "http://127.0.0.1:8000"; + +const SHOWCASE_KEYWORDS = [ + "database sharding", + "kafka", + "transformers", + "quantum entanglement", + "netflix", + "black hole", + "sorting algorithms", + "uber", + "quicksort", + "bubble sort" +]; + +export async function POST(req: Request) { + try { + // Get request body first to check for demo mode + const body = await req.json(); + const { input_data, input_type, category, quality } = body; + + // Check for showcase prompt (Demo Mode) - Bypass Auth and Credits + const lowerInput = (input_data || "").toLowerCase(); + const isShowcase = SHOWCASE_KEYWORDS.some(keyword => lowerInput.includes(keyword)); + + if (isShowcase) { + console.log("๐ŸŽจ Demo Mode activated for prompt:", input_data); + + // Return a fake job ID encoded with timestamp to track progress + const timestamp = Date.now(); + return NextResponse.json({ + job_id: `demo-${timestamp}`, + status: "pending", + message: "Job started (Demo)" + }); + } + + const cookieStore = cookies() // Removed await for Next.js 14 compatibility + + // Create authenticated Supabase client + const supabase = createServerClient( + process.env.NEXT_PUBLIC_SUPABASE_URL!, + process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!, + { + cookies: { + getAll() { + return cookieStore.getAll() + }, + setAll(cookiesToSet) { + cookiesToSet.forEach(({ name, value, options }) => { + cookieStore.set(name, value, options) + }) + }, + }, + } + ) + + // Get current user + const { data: { user }, error: authError } = await supabase.auth.getUser() + + if (authError || !user) { + return NextResponse.json( + { error: "Unauthorized" }, + { status: 401 } + ); + } + + // Check credits + const { data: userData, error: userError } = await supabaseAdmin + .from("users") + .select("credits") + .eq("id", user.id) + .single(); + + if (userError || !userData) { + return NextResponse.json( + { error: "User not found" }, + { status: 404 } + ); + } + + if (userData.credits < 1) { + return NextResponse.json( + { error: "Insufficient credits" }, + { status: 402 } + ); + } + + // Real Generation Flow + // Deduct credit + const { error: updateError } = await supabaseAdmin + .from("users") + .update({ credits: userData.credits - 1 }) + .eq("id", user.id); + + if (updateError) { + return NextResponse.json( + { error: "Failed to deduct credits" }, + { status: 500 } + ); + } + + // Call Python API + const response = await fetch(`${PYTHON_API_URL}/api/generate`, { + method: "POST", + headers: { + "Content-Type": "application/json", + "X-API-Key": process.env.INTERNAL_API_KEY || "", + }, + body: JSON.stringify({ + input_data, + input_type, + category, + quality, + user_id: user.id + }), + }); + + if (!response.ok) { + // Refund credit on failure + await supabaseAdmin + .from("users") + .update({ credits: userData.credits }) + .eq("id", user.id); + + const error = await response.json(); + return NextResponse.json( + { error: error.detail || "Generation failed" }, + { status: response.status } + ); + } + + const data = await response.json(); + return NextResponse.json(data); + + } catch (error) { + console.error("Generate error:", error); + return NextResponse.json( + { error: "Internal server error" }, + { status: 500 } + ); + } +} diff --git a/frontend/src/app/api/jobs/[id]/route.ts b/frontend/src/app/api/jobs/[id]/route.ts new file mode 100644 index 0000000000000000000000000000000000000000..4671a96495ec86c72a9cb794a1a0ede82353a051 --- /dev/null +++ b/frontend/src/app/api/jobs/[id]/route.ts @@ -0,0 +1,77 @@ +import { NextResponse } from "next/server"; + +const PYTHON_API_URL = process.env.PYTHON_API_URL || "http://127.0.0.1:8000"; +const DEMO_VIDEO_URL = "https://storage.googleapis.com/vidsimplify/GeneratedScene.mp4"; + +export async function GET( + req: Request, + { params }: { params: { id: string } } +) { + const jobId = params.id; + + // Handle Demo Jobs + if (jobId.startsWith("demo-")) { + const timestamp = parseInt(jobId.split("-")[1]); + const now = Date.now(); + const elapsed = (now - timestamp) / 1000; // seconds + + if (elapsed < 3) { + return NextResponse.json({ + job_id: jobId, + status: "pending", + progress: { percentage: 10, message: "Initializing system..." }, + created_at: new Date(timestamp).toISOString() + }); + } else if (elapsed < 6) { + return NextResponse.json({ + job_id: jobId, + status: "generating_code", + progress: { percentage: 40, message: "Generating Manim script..." }, + created_at: new Date(timestamp).toISOString() + }); + } else if (elapsed < 10) { + return NextResponse.json({ + job_id: jobId, + status: "rendering", + progress: { percentage: 70, message: "Rendering animation frames..." }, + created_at: new Date(timestamp).toISOString() + }); + } else if (elapsed < 14) { + return NextResponse.json({ + job_id: jobId, + status: "rendering", + progress: { percentage: 90, message: "Finalizing video..." }, + created_at: new Date(timestamp).toISOString() + }); + } else { + return NextResponse.json({ + job_id: jobId, + status: "completed", + progress: { percentage: 100, message: "Completed" }, + output_url: DEMO_VIDEO_URL, + created_at: new Date(timestamp).toISOString() + }); + } + } + + // Handle Real Jobs - Proxy to Python Backend + try { + const response = await fetch(`${PYTHON_API_URL}/api/jobs/${jobId}`); + + if (!response.ok) { + return NextResponse.json( + { error: "Failed to fetch job status" }, + { status: response.status } + ); + } + + const data = await response.json(); + return NextResponse.json(data); + } catch (error) { + console.error("Proxy error:", error); + return NextResponse.json( + { error: "Internal server error" }, + { status: 500 } + ); + } +} diff --git a/frontend/src/app/api/videos/[id]/route.ts b/frontend/src/app/api/videos/[id]/route.ts new file mode 100644 index 0000000000000000000000000000000000000000..8a4b75ee2454a1c86948d05b9063e4eebe80af6e --- /dev/null +++ b/frontend/src/app/api/videos/[id]/route.ts @@ -0,0 +1,44 @@ +import { NextResponse } from "next/server"; + +const PYTHON_API_URL = process.env.PYTHON_API_URL || "http://127.0.0.1:8000"; +const DEMO_VIDEO_URL = "https://storage.googleapis.com/vidsimplify/GeneratedScene.mp4"; + +export async function GET( + req: Request, + { params }: { params: { id: string } } +) { + const jobId = params.id; + + // Handle Demo Jobs + if (jobId.startsWith("demo-")) { + return NextResponse.redirect(DEMO_VIDEO_URL); + } + + // Handle Real Jobs - Proxy to Python Backend + try { + const response = await fetch(`${PYTHON_API_URL}/api/videos/${jobId}`); + + if (!response.ok) { + return NextResponse.json( + { error: "Failed to fetch video" }, + { status: response.status } + ); + } + + // Forward the video content + const blob = await response.blob(); + const headers = new Headers(response.headers); + + return new NextResponse(blob, { + status: 200, + headers: headers + }); + + } catch (error) { + console.error("Proxy error:", error); + return NextResponse.json( + { error: "Internal server error" }, + { status: 500 } + ); + } +} diff --git a/frontend/src/app/app/page.tsx b/frontend/src/app/app/page.tsx new file mode 100644 index 0000000000000000000000000000000000000000..8a5176f7a6f7666f2b7687370bc03827f14f6a2d --- /dev/null +++ b/frontend/src/app/app/page.tsx @@ -0,0 +1,12 @@ +import { Suspense } from "react"; +import { VideoGenerator } from "@/components/app/VideoGenerator"; + +export const dynamic = "force-dynamic"; + +export default function AppPage() { + return ( + Loading...}> + + + ); +} diff --git a/frontend/src/app/auth/callback/route.ts b/frontend/src/app/auth/callback/route.ts new file mode 100644 index 0000000000000000000000000000000000000000..953e0c1aa3bdcb0b7bee2628018f03161285c76f --- /dev/null +++ b/frontend/src/app/auth/callback/route.ts @@ -0,0 +1,99 @@ +import { createServerClient, type CookieOptions } from '@supabase/ssr' +import { createClient } from '@supabase/supabase-js' +import { cookies } from 'next/headers' +import { NextResponse } from 'next/server' + +export async function GET(request: Request) { + console.log("\n=== AUTH CALLBACK START ==="); + const { searchParams, origin } = new URL(request.url) + const code = searchParams.get('code') + const next = searchParams.get('next') ?? '/' + + console.log("Code present:", !!code); + console.log("Redirect target:", next); + + if (code) { + const cookieStore = await cookies() + + const supabase = createServerClient( + process.env.NEXT_PUBLIC_SUPABASE_URL!, + process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!, + { + cookies: { + getAll() { + return cookieStore.getAll() + }, + setAll(cookiesToSet) { + cookiesToSet.forEach(({ name, value, options }) => { + cookieStore.set(name, value, options) + }) + }, + }, + } + ) + + console.log("Exchanging code for session..."); + const { data: { session }, error } = await supabase.auth.exchangeCodeForSession(code) + + if (error) { + console.error('โŒ Auth exchange error:', error) + return NextResponse.redirect(`${origin}/auth/error?error=${encodeURIComponent(error.message)}`) + } + + if (session?.user) { + console.log("โœ… Auth successful. User ID:", session.user.id); + console.log("User email:", session.user.email); + + // SYNC USER TO DATABASE + console.log("Checking if user exists in DB..."); + + // Use the authenticated supabase client (has the session) + const { data: existingUser, error: fetchError } = await supabase + .from('users') + .select('id') + .eq('id', session.user.id) + .single(); + + console.log("Fetch result:", { existingUser, fetchError }); + + if (fetchError && fetchError.code !== 'PGRST116') { + console.error("โŒ Error checking user existence:", fetchError); + } + + if (!existingUser) { + console.log("๐Ÿ”„ User not found in DB. Attempting insert..."); + + const insertData = { + id: session.user.id, + email: session.user.email, + full_name: session.user.user_metadata.full_name || null, + avatar_url: session.user.user_metadata.avatar_url || null, + credits: 5 + }; + + console.log("Insert data:", insertData); + + const { data: insertResult, error: insertError } = await supabase + .from('users') + .insert(insertData) + .select(); + + if (insertError) { + console.error("โŒ INSERT FAILED:", insertError); + console.error("Error code:", insertError.code); + console.error("Error message:", insertError.message); + console.error("Error details:", insertError.details); + console.error("Error hint:", insertError.hint); + } else { + console.log("โœ… Successfully inserted user:", insertResult); + } + } else { + console.log("โœ… User already exists in DB"); + } + } + } + + console.log("Redirecting to:", `${origin}${next}`); + console.log("=== AUTH CALLBACK END ===\n"); + return NextResponse.redirect(`${origin}${next}`) +} diff --git a/frontend/src/app/billing/page.tsx b/frontend/src/app/billing/page.tsx new file mode 100644 index 0000000000000000000000000000000000000000..98bf03b544484bfde936ba9b224981b783f07532 --- /dev/null +++ b/frontend/src/app/billing/page.tsx @@ -0,0 +1,157 @@ +"use client"; + +import { useEffect, useState } from "react"; +import { supabaseClient } from "@/lib/supabase-client"; +import { Button } from "@/components/ui/button"; +import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; +import { Loader2, CreditCard, Zap, CheckCircle, AlertCircle } from "lucide-react"; +import { useRouter } from "next/navigation"; +import Link from "next/link"; + +export default function BillingPage() { + const [user, setUser] = useState(null); + const [credits, setCredits] = useState(0); + const [loading, setLoading] = useState(true); + const router = useRouter(); + const supabase = supabaseClient; + + useEffect(() => { + const getData = async () => { + const { data: { user } } = await supabase.auth.getUser(); + if (!user) { + router.push("/auth/signin"); + return; + } + setUser(user); + + // Fetch user credits only + const { data: userData } = await supabase + .from("users") + .select("credits") + .eq("id", user.id) + .single(); + + setCredits(userData?.credits ?? 0); + setLoading(false); + }; + getData(); + }, [supabase, router]); + + if (loading) { + return ( +
+ +
+ ); + } + + // Static plan info for now + const plan = { + name: "Free", + price: "$0", + features: [ + "5 video credits per month", + "720p video quality", + "Standard generation speed" + ] + }; + + return ( +
+
+
+

Billing & Usage

+

Manage your subscription and view credit usage.

+
+ +
+ {/* Current Plan */} + + + + + Current Plan + + + You are currently on the {plan.name} Tier. + + + +
+
+

{plan.name} Plan

+

{plan.price}/month

+
+
+
+ +
+ {plan.features.map((feature: string) => ( +
+ + {feature} +
+ ))} +
+ + + + + + {/* Credit Usage */} + + + + + Credit Usage + + + Your monthly generation credits. + + + +
+
+ Credits Remaining + {credits} / 5 +
+
+
+
+

+ Credits reset on the 1st of every month. +

+
+ + {credits === 0 && ( +
+ +

+ You have run out of credits. Upgrade your plan to continue generating videos. +

+
+ )} + + +
+ + {/* Invoice History Placeholder */} + + + Billing History + + +
+ No invoices found. +
+ + +
+
+ ); +} diff --git a/frontend/src/app/favicon.ico b/frontend/src/app/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..718d6fea4835ec2d246af9800eddb7ffb276240c Binary files /dev/null and b/frontend/src/app/favicon.ico differ diff --git a/frontend/src/app/globals.css b/frontend/src/app/globals.css new file mode 100644 index 0000000000000000000000000000000000000000..8cc764ab32f2b7850c93656bb71c37cfc987f77e --- /dev/null +++ b/frontend/src/app/globals.css @@ -0,0 +1,74 @@ +@import "tailwindcss"; + +:root { + --background: #020617; + --foreground: #f8fafc; + --card: #020617; + --card-foreground: #f8fafc; + --popover: #020617; + --popover-foreground: #f8fafc; + --primary: #2563eb; + --primary-foreground: #f8fafc; + --secondary: #1e293b; + --secondary-foreground: #f8fafc; + --muted: #1e293b; + --muted-foreground: #94a3b8; + --accent: #1e293b; + --accent-foreground: #f8fafc; + --destructive: #7f1d1d; + --destructive-foreground: #f8fafc; + --border: #1e293b; + --input: #1e293b; + --ring: #1d4ed8; + --radius: 0.5rem; +} + +@theme inline { + --color-background: var(--background); + --color-foreground: var(--foreground); + --color-card: var(--card); + --color-card-foreground: var(--card-foreground); + --color-popover: var(--popover); + --color-popover-foreground: var(--popover-foreground); + --color-primary: var(--primary); + --color-primary-foreground: var(--primary-foreground); + --color-secondary: var(--secondary); + --color-secondary-foreground: var(--secondary-foreground); + --color-muted: var(--muted); + --color-muted-foreground: var(--muted-foreground); + --color-accent: var(--accent); + --color-accent-foreground: var(--accent-foreground); + --color-destructive: var(--destructive); + --color-destructive-foreground: var(--destructive-foreground); + --color-border: var(--border); + --color-input: var(--input); + --color-ring: var(--ring); + --radius-sm: calc(var(--radius) - 2px); + --radius-md: calc(var(--radius) - 2px); + --radius-lg: var(--radius); + --font-sans: var(--font-inter); + --font-mono: monospace; +} + +body { + background: var(--background); + color: var(--foreground); + font-family: Arial, Helvetica, sans-serif; +} + +/* Strictly hide scrollbars for everything */ +::-webkit-scrollbar { + display: none !important; + width: 0 !important; + height: 0 !important; + background: transparent !important; +} + +html, +body, +* { + -ms-overflow-style: none !important; + /* IE and Edge */ + scrollbar-width: none !important; + /* Firefox */ +} \ No newline at end of file diff --git a/frontend/src/app/layout.tsx b/frontend/src/app/layout.tsx new file mode 100644 index 0000000000000000000000000000000000000000..1228cb63c6a87c73a184fe57fc002aa3a73e9e35 --- /dev/null +++ b/frontend/src/app/layout.tsx @@ -0,0 +1,35 @@ +import type { Metadata } from "next"; +import { Inter } from "next/font/google"; +import "./globals.css"; +import { cn } from "@/lib/utils"; + +const inter = Inter({ + subsets: ["latin"], + variable: "--font-inter", +}); + +export const metadata: Metadata = { + title: "VidSimplify - AI-Powered Animation Generator", + description: "Transform text, PDFs, and URLs into stunning educational animations powered by AI and Manim", +}; + + + +// ... imports + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + {children} + + + ); +} diff --git a/frontend/src/app/page.tsx b/frontend/src/app/page.tsx new file mode 100644 index 0000000000000000000000000000000000000000..523106bd6e77b00e225a2236bc48226c8b8048b2 --- /dev/null +++ b/frontend/src/app/page.tsx @@ -0,0 +1,105 @@ +import { Navbar } from "@/components/landing/Navbar"; +import { Hero } from "@/components/landing/Hero"; +import { Showcase } from "@/components/landing/Showcase"; +import { Footer } from "@/components/landing/Footer"; +import { Check, Edit, Layers, Zap } from "lucide-react"; + +export default function Home() { + return ( +
+ + + + + {/* Problem vs Solution Section */} +
+
+
+
+

+ The Problem with Random AI Video +

+
    + {[ + "Hallucinated facts and visuals", + "Inconsistent style and branding", + "Impossible to edit specific details", + "Black box generation process" + ].map((item, i) => ( +
  • +
    + {item} +
    • + ))} +
+
+
+

+ The VidSimplify Solution +

+
    + {[ + "Mathematically precise animations", + "Granular control to edit every detail", + "Consistent, professional styling", + "Explainable and transparent generation" + ].map((item, i) => ( +
  • +
    + +
    + {item} +
    • + ))} +
+
+
+
+
+ + {/* Features Grid */} +
+
+
+

+ Engineered for Complexity +

+

+ In a growing complex world, we need tools that can explain the working of any system, research, or product in depth. +

+
+ +
+ {[ + { + title: "Multi-Dimensional", + description: "Generate 2D and 3D visualizations that capture every angle of your concept.", + icon: + }, + { + title: "Fully Editable", + description: "Don't like a color? Want to change a speed? Tweak parameters instantly.", + icon: + }, + { + title: "Instant Repurposing", + description: "Generate once, then tweak for different formats, audiences, and platforms.", + icon: + } + ].map((feature, i) => ( +
+
+ {feature.icon} +
+

{feature.title}

+

{feature.description}

+
+ ))} +
+
+
+ +
+
+ ); +} diff --git a/frontend/src/app/pricing/page.tsx b/frontend/src/app/pricing/page.tsx new file mode 100644 index 0000000000000000000000000000000000000000..935f123c8810e4574e0763ef101bca1247e11d0f --- /dev/null +++ b/frontend/src/app/pricing/page.tsx @@ -0,0 +1,123 @@ +"use client"; + +import { Check } from "lucide-react"; +import { Button } from "@/components/ui/button"; +import Link from "next/link"; +import { cn } from "@/lib/utils"; + +export default function PricingPage() { + const tiers = [ + { + name: "Free", + price: "$0", + description: "Perfect for experimenting and personal projects.", + features: [ + "5 video credits per month", + "720p video quality", + "Standard generation speed", + "Public community access", + ], + cta: "Get Started", + href: "/app", + popular: false, + }, + { + name: "Pro", + price: "$29", + description: "For content creators and professionals.", + features: [ + "50 video credits per month", + "1080p HD video quality", + "Fast generation speed", + "Priority support", + "Commercial usage rights", + "Remove watermarks", + ], + cta: "Upgrade to Pro", + href: "/auth/signin", + popular: true, + }, + { + name: "Enterprise", + price: "Custom", + description: "For teams and high-volume needs.", + features: [ + "Unlimited video credits", + "4K video quality", + "Instant generation", + "Dedicated account manager", + "Custom branding & templates", + "API access", + ], + cta: "Contact Sales", + href: "mailto:sales@vidsimplify.com", + popular: false, + }, + ]; + + return ( +
+
+
+

+ Simple, transparent pricing +

+

+ Choose the plan that best fits your needs. All plans include access to our core AI generation features. +

+
+ +
+ {tiers.map((tier) => ( +
+ {tier.popular && ( +
+ Most Popular +
+ )} + +
+

{tier.name}

+
+ {tier.price} + {tier.price !== "Custom" && /month} +
+

{tier.description}

+
+ +
    + {tier.features.map((feature) => ( +
  • + + {feature} +
    • + ))} +
+ + +
+ ))} +
+
+
+ ); +} diff --git a/frontend/src/app/profile/page.tsx b/frontend/src/app/profile/page.tsx new file mode 100644 index 0000000000000000000000000000000000000000..c6c65c4d02e203730a03e81c453b61ca099f9a85 --- /dev/null +++ b/frontend/src/app/profile/page.tsx @@ -0,0 +1,136 @@ +"use client"; + +import { useEffect, useState } from "react"; +import { supabaseClient } from "@/lib/supabase-client"; +import { Button } from "@/components/ui/button"; +import { Input } from "@/components/ui/input"; +import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar"; +import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; +import { Loader2, User, Mail, Save } from "lucide-react"; +import { useRouter } from "next/navigation"; + +export default function ProfilePage() { + const [user, setUser] = useState(null); + const [loading, setLoading] = useState(true); + const [fullName, setFullName] = useState(""); + const [saving, setSaving] = useState(false); + const router = useRouter(); + const supabase = supabaseClient; + + useEffect(() => { + const getUser = async () => { + const { data: { user } } = await supabase.auth.getUser(); + if (!user) { + router.push("/auth/signin"); + return; + } + setUser(user); + setFullName(user.user_metadata?.full_name || ""); + setLoading(false); + }; + getUser(); + }, [supabase, router]); + + const handleUpdateProfile = async () => { + setSaving(true); + const { error } = await supabase.auth.updateUser({ + data: { full_name: fullName }, + }); + + if (error) { + alert("Error updating profile"); + } else { + alert("Profile updated successfully"); + router.refresh(); + } + setSaving(false); + }; + + if (loading) { + return ( +
+ +
+ ); + } + + return ( +
+
+
+

Profile Settings

+

Manage your account settings and preferences.

+
+ + + + Personal Information + + Update your personal details here. + + + +
+ + + + {user?.email?.charAt(0).toUpperCase()} + + +
+

Profile Picture

+

+ Managed by your identity provider (Google). +

+
+
+ +
+ +
+ + setFullName(e.target.value)} + className="pl-9 bg-slate-950 border-slate-700 text-slate-200 focus:border-blue-500" + /> +
+
+ +
+ +
+ + +
+
+ +
+ +
+ + +
+
+ ); +} diff --git a/frontend/src/components/app/VideoGenerator.tsx b/frontend/src/components/app/VideoGenerator.tsx new file mode 100644 index 0000000000000000000000000000000000000000..fe5f28bdab52fcdc3c9f0473af1ee4236439a6ea --- /dev/null +++ b/frontend/src/components/app/VideoGenerator.tsx @@ -0,0 +1,602 @@ +"use client"; + +import React, { useState, useEffect } from "react"; +import { useSearchParams } from "next/navigation"; +import { motion, AnimatePresence } from "framer-motion"; +import { Loader2, Upload, Link as LinkIcon, FileText, CheckCircle, AlertCircle, Download, Play, Layout, Clock, Settings, Menu, X, Video, ChevronRight, Sparkles } from "lucide-react"; +import { Button } from "@/components/ui/button"; +import { Input, Textarea } from "@/components/ui/input"; +import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card"; +import { api, type InputType, type Category, type JobStatus } from "@/lib/api"; +import { cn } from "@/lib/utils"; +import Link from "next/link"; +import { supabaseClient } from "@/lib/supabase-client"; + +export function VideoGenerator() { + const searchParams = useSearchParams(); + const [inputType, setInputType] = useState("text"); + const [category, setCategory] = useState("tech_system"); + const [content, setContent] = useState(""); + const [isGenerating, setIsGenerating] = useState(false); + const [currentJob, setCurrentJob] = useState(null); + const [error, setError] = useState(null); + const [isSidebarOpen, setIsSidebarOpen] = useState(false); + const [credits, setCredits] = useState(0); + const [demoVideoUrl, setDemoVideoUrl] = useState(null); + + const supabase = supabaseClient; + + // Fetch credits + useEffect(() => { + const fetchCredits = async () => { + const { data: { user } } = await supabase.auth.getUser(); + if (user) { + const { data } = await supabase + .from("users") + .select("credits") + .eq("id", user.id) + .single(); + setCredits(data?.credits ?? 0); + } + }; + fetchCredits(); + }, [supabase]); + + // Initialize from URL params + useEffect(() => { + const promptParam = searchParams.get("prompt"); + const categoryParam = searchParams.get("category"); + const demoUrlParam = searchParams.get("demoVideoUrl"); + + if (promptParam) { + setContent(promptParam); + setInputType("text"); + } + + if (categoryParam && ["tech_system", "product_startup", "mathematical"].includes(categoryParam)) { + setCategory(categoryParam as Category); + } + + if (demoUrlParam) { + setDemoVideoUrl(demoUrlParam); + // Removed auto-start: simulateGeneration(demoUrlParam); + } else { + setDemoVideoUrl(null); + } + }, [searchParams]); + + const simulateGeneration = (videoUrl: string) => { + setIsGenerating(true); + const jobId = "demo-" + Date.now(); + + const steps = [ + { percentage: 10, message: "Analyzing Input..." }, + { percentage: 30, message: "Generating Script..." }, + { percentage: 60, message: "Validating Code..." }, + { percentage: 85, message: "Rendering Frames..." }, + { percentage: 100, message: "Finalizing..." } + ]; + + let step = 0; + // Clear any existing job + setCurrentJob({ + job_id: jobId, + status: "pending", + progress: { percentage: 0, message: "Initializing..." }, + created_at: new Date().toISOString() + }); + + const interval = setInterval(() => { + if (step >= steps.length) { + clearInterval(interval); + setCurrentJob({ + job_id: jobId, + status: "completed", + progress: { percentage: 100, message: "Completed" }, + created_at: new Date().toISOString() + }); + setIsGenerating(false); + return; + } + + setCurrentJob({ + job_id: jobId, + status: "rendering", + progress: steps[step], + created_at: new Date().toISOString() + }); + step++; + }, 1000); // 1 second per step for a nice flow + }; + + // Poll for job status + useEffect(() => { + let interval: NodeJS.Timeout; + + // Only poll if it's NOT a demo job (demo jobs start with "demo-") + if (currentJob && ["pending", "generating_code", "rendering"].includes(currentJob.status) && !currentJob.job_id.startsWith("demo-")) { + interval = setInterval(async () => { + try { + const status = await api.getJobStatus(currentJob.job_id); + setCurrentJob(status); + + if (status.status === "failed") { + setError(status.error || "Job failed"); + setIsGenerating(false); + } else if (status.status === "completed") { + setIsGenerating(false); + } + } catch (e) { + console.error("Polling error", e); + } + }, 2000); + } + + return () => clearInterval(interval); + }, [currentJob]); + + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + if (!content) return; + + // If we have a demo video URL, simulate the generation instead of calling the API + if (demoVideoUrl) { + simulateGeneration(demoVideoUrl); + return; + } + + setIsGenerating(true); + setError(null); + setCurrentJob(null); + // setDemoVideoUrl(null); // Don't clear it here, we might want to keep it if user retries? + // Actually, if it's a real generation, we should probably clear it. + // But wait, if we are here, demoVideoUrl is NULL (because of the check above). + // So we don't need to clear it. + + try { + const job = await api.createVideo(content, inputType, category); + setCurrentJob({ + job_id: job.job_id, + status: "pending", + progress: { percentage: 0, message: "Initializing system..." }, + created_at: new Date().toISOString() + }); + // Optimistically update credits + setCredits(prev => Math.max(0, prev - 1)); + } catch (e: any) { + setError(e.message); + setIsGenerating(false); + } + }; + + const categories: { value: Category; label: string; description: string }[] = [ + { value: "tech_system", label: "Tech & Systems", description: "Architecture, Data Flow, APIs" }, + { value: "product_startup", label: "Product Demo", description: "Features, Value Prop, UI/UX" }, + { value: "mathematical", label: "Math & Research", description: "Equations, Graphs, Concepts" }, + ]; + + const SHOWCASE_KEYWORDS = [ + "database sharding", + "kafka", + "transformers", + "quantum entanglement", + "netflix", + "black hole", + "sorting algorithms", + "uber", + "sorting", + "bubble sort", + "url shortener" + ]; + + const isShowcasePrompt = SHOWCASE_KEYWORDS.some(keyword => (content || "").toLowerCase().includes(keyword)); + const canEdit = credits > 0; + const canGenerate = canEdit || isShowcasePrompt; + + return ( +
+ {/* Mobile Sidebar Overlay */} + + {isSidebarOpen && ( + setIsSidebarOpen(false)} + className="fixed inset-0 bg-black/60 backdrop-blur-sm z-40 md:hidden" + /> + )} + + + {/* Sidebar */} + +
+ +
+
+ VidSimplify + + +
+ +
+ + + +
+ +
+
+
+
Credits
+
{credits} / 5
+
+
+
+
+ +
+
+ + + {/* Main Content */} +
+ {/* App Header */} +
+
+ +

+ Project / Untitled Animation +

+
+
+ +
+
+ System Operational +
+
+
+
+ +
+
+
+ + {/* Left Column: Input Configuration */} +
+
+

Configure Generation

+

Define the parameters for your AI-generated animation.

+
+ +
+ {/* Input Source */} +
+ +
+ {[ + { id: "text", icon: FileText, label: "Text Prompt" }, + { id: "url", icon: LinkIcon, label: "URL / Blog" }, + { id: "pdf", icon: Upload, label: "PDF Document" } + ].map((type) => ( + + ))} +
+
+ + {/* Animation Style */} +
+ +
+ {categories.map((cat) => ( + + ))} +
+
+ + {/* Content Input */} +
+ + +
+
+ {inputType === "text" ? ( +