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Rizzler.ai

CloutFarm (formerly Rizzler AI) is a content creation tool that analyzes a user's raw photos and audio clips to identify currently trending sounds, filters, and formats on TikTok.

Code Demo Cerebral Valley

Core trick

Matches a user's photo and audio clips against trending TikTok sounds and formats, then auto-edits them into an AI-generated reel.

Tags

creative/musicvision

Description

CloutFarm (formerly Rizzler AI) is a content creation tool that analyzes a user's raw photos and audio clips to identify currently trending sounds, filters, and formats on TikTok. It then automatically edits the user's media into a new, polished AI-generated reel that mirrors the viral trend, making it easy for anyone to hop on the bandwagon and create content with high viral potential.
ShardulAgg/character_agent★ 13 forksTypeScriptCreated Oct 18, 2025 · last push Oct 19, 2025

README excerpt

# Image & Voice Processing WebApp

A modern webapp with FastAPI backend and dual frontend options (Streamlit + React) that generates image variations and voice signatures using AI APIs.

## Features
- **Image Processing**: Upload images and generate variations using Google's Gemini API
- **Voice Processing**: Upload voice files and generate signatures using Eleven Labs
- **Dual Frontend**: Choose between Streamlit (Python) or React (TypeScript) interfaces
- **Cloud Ready**: Deployed on Google Cloud Platform with auto-scaling

## Tech Stack
- **Backend**: FastAPI + Python
- **Frontend**: 
  - Streamlit (Python-based UI)
  - React + TypeScript + Vite (Modern web UI)
- **APIs**: Google Gemini API, Eleven Labs API
- **Deployment**: Docker + Google Cloud Run
- **Styling**: Tailwind CSS (React frontend)

## Project Structure
```
tiktok-genie/
├── backend/                 # FastAPI backend
├── frontend/               # Streamlit frontend  
├── frontend-react/         # React + TypeScript frontend
├── docker-compose.yml      # Local development
├── cloudbuild.yaml        # GCP deployment
└── deploy.sh              # Deployment script
```

## Setup & Development

### Prerequisites
- Python 3.9+
- Node.js 18+ (for React frontend)
- Docker & Docker Compose

### Local Development

1. **Clone and setup**:
   ```bash
   ./setup.sh
   ```

2. **Configure environment**:
   ```bash
   cp .env.example .env
   # Edit .env with your API keys
   ```

3. **Run with Docker Compose**:
   ```bash

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