This application utilizes the LLama 2 language model to generate social media content. Users can input a message or topic, select the platform (Twitter, Instagram, or Facebook), choose the target audience (such as Tech Enthusiasts, General Audience, or Specific Industry), and specify the desired word count for the generated content.
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Clone this repository:
git clone https://github.com/raghulajithn/socialmediaContentCreation.git -
Navigate to the project directory:
cd socialmediaContentCreation -
Install the required dependencies:
pip install -r requirements.txt
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Run the Streamlit app:
streamlit run app.py -
Enter your message or topic in the provided text input field.
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Choose the platform for which you want to generate content (Twitter, Instagram, or Facebook).
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Select the target audience for your content (Tech Enthusiasts, General Audience, or Specific Industry).
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Adjust the desired word count using the number input field.
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Click the "Generate" button to generate the social media content.
- This application uses the Streamlit library for building interactive web apps.
- The LLama 2 language model is provided by LangChain Community.
This project is licensed under the MIT License - see the LICENSE file for details.
