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updated README.md

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- ### Project Description
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- Implementing a scalable content team using AI involves creating a framework that blends the strengths of AI technologies with the creative and supervisory capabilities of human team members. This strategy aims to enhance efficiency, creativity, and content output quality.
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-
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- This code is a high-level conceptualization and would require adaptation to fit the actual CrewAI framework and toolset specifics. It illustrates how different AI agents, equipped with specialized roles and tools, can collaborate within a content creation process. Each agent focuses on a key area—research, writing, and SEO—streamlining the content development workflow and enhancing output quality through specialized AI-driven tasks.
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-
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- ### Objective
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- Implement a content generation workflow using the Crew AI framework. This workflow should autonomously process input topics, conduct research, plan content, generate images, optimize for SEO, and perform final editorial checks.
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-
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- ### Tools and Frameworks:
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- * Crew AI framework
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- * Streamlit - User Interface(UI)
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- * Python for scripting
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- * AI models or APIs (e.g., `gemini-pro` for content, `stable-diffusion-xl-base` for images)
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-
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- ### Prerequisites
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- To complete this project, you should understand Python programming, data manipulation, visualization libraries such as Pandas and Matplotlib, and machine learning libraries such as Scikit-Learn. Additionally, some background knowledge of natural language processing (NLP) techniques and generate text to image and image to text methods would be helpful.
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-
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- ### Resources
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- - Live demo link: [Article Generate using CrewAI]()
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- - Check out [CrewAI](https://docs.crewai.com/)
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- - Project code [GitHub](https://github.com/Bhavik-Jikadara/Content-Generation-Workflow.git)
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-
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- -----------------------------------------------------------------------------------------------------------------
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- ## Notes: This step is very import:
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- ### [Click here](https://www.c-sharpcorner.com/article/how-to-addedit-path-environment-variable-in-windows-11/) to set three API_KEYs in the Environment Variable, and use this link as a reference.
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- * [Click here to OpenAI API Key](https://platform.openai.com/api-keys)
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-
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- $ OPENAI_API_KEY="Your-API-key"
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- * [Click here to Google API Key](https://aistudio.google.com/)
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-
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- $ GOOGLE_API_KEY="Your-API-key"
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- * [Click here to Serper API Key](https://serper.dev/api-key)
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-
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- $ SERPER_API_KEY="Your-API-key"
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- -----------------------------------------------------------------------------------------------------------------
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-
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- ### Step 1: Clone the repository
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- $ git clone https://github.com/Bhavik-Jikadara/Content-Generation-Workflow.git
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- $ cd Content-Generation-Workflow/
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-
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- ### Step 2: Create a virtualenv (windows user)
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- $ pip install virtualenv
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- $ virtualenv venv
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- $ source venv/Scripts/activate
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-
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- ### Step 3: Install the requirements libraries using pip
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- $ pip install -r requirements.txt
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-
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- ### Step 4: Type this command and run the project:
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- $ streamlit run Home.py
 
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+ ---
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+ title: ContentGenerationWorkflow
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+ emoji: 💻
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+ colorFrom: yellow
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+ colorTo: red
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+ sdk: streamlit
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+ sdk_version: 1.34.0
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+ app_file: app.py
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+ pinned: false
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+ license: apache-2.0
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference