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updated README.md
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README.md
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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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### 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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## 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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$ OPENAI_API_KEY="Your-API-key"
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* [Click here to Google API Key](https://aistudio.google.com/)
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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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$ SERPER_API_KEY="Your-API-key"
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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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### 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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### Step 3: Install the requirements libraries using pip
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$ pip install -r requirements.txt
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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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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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