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a topic and generate the content without interacting directly\nwith the Python code.\n\n### Execution Feedback\n\nThe application displays a CrewAI execution status while the agents are\nworking, helping the user understand that the multi-agent workflow is in\nprogress.\n\n## Technology Stack\n\n  Technology      Purpose\n  --------------- ---------------------------------\n  Python          Application development\n  CrewAI          Multi-agent orchestration\n  CrewAI Tools    Agent tools and integrations\n  Streamlit       Web application interface\n  OpenAI          Large language model\n  Serper          Web search for research\n  python-dotenv   Environment variable management\n\n## Project Structure"},{"kind":"example","language":"text","snippet":"### `app.py`\n\nProvides the Streamlit user interface, accepts the blog topic, starts\nthe CrewAI workflow, and displays the generated content.\n\n### `agents.py`\n\nDefines the three CrewAI agents:\n\n-   Trending Topic Researcher\n-   Blog Writer\n-   SEO Specialist\n\n### `tasks.py`\n\nDefines the responsibilities and expected outputs for each agent.\n\n### `crew.py`\n\nCreates and executes the CrewAI workflow using a sequential process.\n\n### `requirements.txt`\n\nContains the Python dependencies required to run the application.\n\n### `.env`\n\nStores API credentials and should not be committed to GitHub.\n\n## Prerequisites\n\nBefore running the project, make sure you have:\n\n-   Python 3.11 or a compatible supported Python environment\n-   Git\n-   A GitHub account if you want to clone or contribute to the project\n-   An OpenAI API key\n-   A Serper API key for web research\n-   Internet connectivity\n\nIt is recommended to use a Python virtual environment to keep project\ndependencies isolated.\n\n## Installation\n\n### 1. Clone the repository"}]}}