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This project uses multiple AI agents working together to research, analyze, and create personalized dining itineraries based on your preferences.\n\n## 🍽️ Project Overview\n\nStoryCatalyst transforms how you discover and plan dining experiences by leveraging specialized AI agents that:\n1. Research trending and highly-rated restaurants in your area\n2. Analyze restaurant details to provide comprehensive insights\n3. Create personalized dining itineraries based on your preferences\n\nWhether you're a local looking for new dining experiences or a traveler seeking the best local cuisine, StoryCatalyst creates tailored restaurant recommendations that match your taste.\n\n\n<img width=\"1812\" height=\"1036\" alt=\"image\" src=\"https://github.com/user-attachments/assets/25b05bb4-4626-48ad-aa3c-809411dbd8ca\" />\n\n\n## 🤖 Agents\n\nOur system consists of three specialized AI agents working in sequence:\n\n1. **Scout (Web-Savvy Restaurant Finder)**\n   - Discovers highly-rated and trending restaurants in your area\n   - Gathers key details like ratings, cuisine type, and location highlights\n\n2. **Critic (Food Review Analyst)**\n   - Analyzes restaurant reviews, menus, and customer feedback\n   - Provides balanced assessments highlighting strengths and weaknesses\n\n3. **Planner (Dining Itinerary Builder)**\n   - Creates personalized dining plans based on research and analysis\n   - Organizes recommendations into a clear, enjoyable dining experience\n\n## 📋 Workflow\n\n```mermaid\ngraph TD\n    A[User Input: Preferences & Location] --> B[Scout Agent: Research Restaurants]\n    B --> C[Restaurant List with Details]\n    C --> D[Critic Agent: Analyze Restaurants]\n    D --> E[Restaurant Analysis with Ratings]\n    E --> F[Planner Agent: Create Itinerary]\n    F --> G[Personalized Dining Plan]\n    G --> H[Final Report in Markdown]\n\n```\n\n## 🚀 Installation\n\nEnsure you have Python >=3.10 <3.14 installed on your system. This project uses [UV](https://docs.astral.sh/uv/) for dependency management.\n\nFirst, if you haven't already, install uv:\n\n```bash\npip install uv\n```\n\nNext, navigate to your project directory and install the dependencies:\n\n```bash\ncrewai install\n```\n\n### Environment Setup\n\nCreate a `.env` file in the project root with your API keys:\n\n```env\nOPENAI_API_KEY=your_openai_api_key_here\nSERPER_API_KEY=your_serper_api_key_here\n```\n\n## ▶️ Running the Project\n\nTo run the StoryCatalyst Crew:\n\n```bash\ncrewai run\n```\n\nThis will execute the agents in sequence and generate a `report.md` file with your personalized dining itinerary.\n\n### Customizing Inputs\n\nModify the inputs in `src/story_catalyst/main.py` to customize your search:\n\n```python\ninputs = {\n    'topic': 'Italian cuisine',        # Type of cuisine or dining preference\n    'location': 'New York',            # City or area for restaurant search\n    'current_year': str(datetime.now().year)\n}\n```\n\n## 📁 Project Structure\n\n```\nstory_catalyst/\n├── src/\n│   └── story_catalyst/\n│       ├── config/\n│       │   ├── agents.yaml         # Agent definitions\n│       │   └── tasks.yaml          # Task definitions\n│       ├── tools/\n│       │   ├── custom_tool.py      # Custom tools (if any)\n│       │   └── html_generator.py   # HTML report generator tool\n│       ├── crew.py                 # Main crew definition\n│       └── main.py                 # Entry point\n├── knowledge/\n│   └── user_preference.txt         # User preference data\n├── report.md                       # Generated output (after run)\n├── report.html                     # HTML generated output (after run)\n├── .env                            # API keys (not in version control)\n├── pyproject.toml                  # Project dependencies\n└── README.md\n```\n\n## ⚙️ Configuration\n\n### Agents\nModify `src/story_catalyst/config/agents.yaml` to customize agent roles, goals, and backstories.\n\n### Tasks\nModify `src/story_catalyst/config/tasks.yaml` to adjust task descriptions and expected outputs.\n\n### Custom Tools\nAdd custom tools in `src/story_catalyst/tools/` and register them in your agents.\n\nThe project includes a custom HTML generator tool (`html_generator.py`) that creates visually appealing HTML reports from the JSON output of the planning agent.\n\n## 🛠️ Customization\n\nTo customize the StoryCatalyst Crew for your specific needs:\n\n1. 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