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It allows users to feed in any YouTube video URL that contains captions, automatically retrieves the transcript, digests the transcript using a specialized **Research Agent**, and rewrites it using a specialized **Content Writer Agent** into formatted media templates.\n\nThe application has been designed with **separation of concerns** in mind: the Streamlit dashboard (`app.py`) is entirely decoupled from the CrewAI orchestration (`backend/crew.py`), agent roles (`backend/agents.py`), and transcript retrieval (`backend/tools.py`).\n\n---\n\n## 🚀 Features\n- **URL Parameter Extraction**: Supports YouTube query strings, shortened links (`youtu.be`), embeds, and shorts.\n- **Transcript Extraction**: Robust parser utilizing `youtube-transcript-api` that automatically pulls dialogue transcripts, removing timestamp overhead and noise.\n- **Sequential Multi-Agent Execution**: \n  - **Agent 1 (AI Research Analyst)** reads raw text, extracts critical themes, key points, insights, and action items.\n  - **Agent 2 (Professional Content Writer)** reformulates the research brief into targeted formats depending on the user selection.\n- **Downloadable Formats**: \n  - **LinkedIn Post**: Structured with engaging hooks, spacing, emoji decorations, CTAs, and relevant hashtags.\n  - **Word Document (.docx)**: Formal article styling utilizing clean Segoe UI typography, custom-styled heading colors, margins, and bulleted/numbered paragraphs.\n  - **Markdown (.md)**: Clean syntax featuring tables, headers, lists, and formatted code blocks.\n- **Glassmorphic Streamlit Dashboard**: Sleek dark-mode dashboard styled with CSS injection, featuring an active API status check and responsive loader transitions.\n\n---\n\n## 📐 Architecture & Data Flow\n\n```\n                           +----------------------+\n                           |     Streamlit UI     | <---+ User input: URL & format\n                           +----------------------+\n                                      |\n                                      v\n                           +----------------------+\n                           |   Transcript Tool    |\n                           +----------------------+\n                                      |\n                                      v\n                           +----------------------+\n                           |  AI Research Agent   | (Agent 1)\n                           +----------------------+\n                                      |\n                                      v\n                           +----------------------+\n                           |   Content Writer     | (Agent 2)\n                           +----------------------+\n                                      |\n                                      v\n                           +----------------------+\n                           |   File Generators    |\n                           +----------------------+\n                                      |\n                                      v\n                           +----------------------+\n                           |  Download Widgets   | ---> (.txt, .docx, .md)\n                           +----------------------+\n```\n\n---\n\n## 📂 Folder Structure\n\n```\nyoutube-content-agent/\n│\n├── app.py                  # Main Streamlit application frontend\n├── requirements.txt        # Package dependencies\n├── .env                    # Local environment keys (Groq key)\n├── README.md               # Documentation\n│\n├── backend/\n│   ├── __init__.py         # Package initialization\n│   ├── agents.py           # CrewAI Agents (Research, Writer)\n│   ├── tasks.py            # CrewAI Tasks (Research, Rewrite)\n│   ├── crew.py             # Orchestrator (Binds agents & tasks)\n│   ├── tools.py            # Custom YouTube transcript extraction tool\n│   ├── generator.py        # File export format engines (docx, markdown, text)\n│   ├── config.py           # Environment loading & validation checks\n│   └── utils.py            # General directories & filename sanitization\n│\n├── output/                 # Storage for generated outputs (.txt, .docx, .md)\n├── assets/                 # Custom graphic elements (if applicable)\n└── screenshots/            # App preview images\n```\n\n---\n\n## 🛠️ Installation & Setup\n\n### 1. Clone the repository and navigate to the directory\n```bash\ngit clone <repository_url>\ncd youtube-content-agent\n```\n\n### 2. Set up a virtual environment (Recommended)\n```bash\n# Create python virtual environment\npython -m venv venv\n\n# Activate on Windows\nvenv\\Scripts\\activate\n\n# Activate on macOS/Linux\nsource venv/bin/activate\n```\n\n### 3. Install dependencies\n```bash\npip install -r requirements.txt\n```\n\n### 4. Configure Environment Variables\nCreate a file named `.env` in the root folder of the project (if it doesn't already exist) and define your **Groq API Key**:\n```env\nGROQ_API_KEY=gsk_your_actual_key_here\n```\n> [!NOTE]\n> You can acquire a free Groq API key by signing up at [Groq Console](https://console.groq.com/).\n\n---\n\n## 🏃 Running the Project\nLaunch the Streamlit app using the command line:\n```bash\nstreamlit run app.py\n```\nThis will spin up a local development server, typically accessible at `http://localhost:8501`.\n\n---\n\n## 📸 Screenshots Section\n*(Place your application screenshots here once captured!)*\n- **Dashboard Input:** User-friendly inputs for URLs and dropdowns.\n- **Workflow Executing:** Progress spinner showcasing agent execution.\n- **Results Tab:** Content tab display alongside download buttons for generated artifacts.\n\n---\n\n## 🔮 Future Improvements\n1. **Multi-lingual Translation**: Add a translation agent to convert transcripts into multiple destination languages before summarizing.\n2. **Audio Upload**: Expand tools to support uploading local `.mp3` / `.wav` files and transcribing them using Groq Whisper.\n3. **Sentiment Analysis**: Introduce a sentiment-scoring agent to assess user feedback and reactions in the YouTube video comments sections.\n>>>>>>> 57b93b4 ( Initial Commit)\n","readmeExcerpt":"<<<<<<< HEAD Autonomous-Multi-Agent-Content-Orchestration-Platform Production-ready Multi-Agent AI workspace built with CrewAI to automate research, content generation, and data aggregation workflows using LLM agents, external APIs, and intelligent tool calling ======= YouTube Content Agent using CrewAI An elegant, beginner-friendly full-stack AI application that processes YouTube transcripts through a multi-agent Cr","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"+----------------------+\n                           |     Streamlit UI     | <---+ User input: URL & format\n                           +----------------------+\n                                      |\n                                      v\n                           +----------------------+\n                           |   Transcript Tool    |\n                           +----------------------+\n                                      |\n                                      v\n                           +----------------------+\n                           |  AI Research Agent   | (Agent 1)\n                           +----------------------+\n                                      |\n                                      v\n                           +----------------------+\n                           |   Content Writer     | (Agent 2)\n                           +----------------------+\n                                      |\n                                      v\n                           +----------------------+\n                           |   File Generators    |\n                           +----------------------+\n                                      |\n                                      v\n                           +----------------------+\n                           |  Download Widgets   | ---> (.txt, .docx, .md)\n                           +----------------------+"},{"language":"text","snippet":"youtube-content-agent/\n│\n├── app.py                  # 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