AI_Content_Assistant is a project aimed at solving the challenges of content creation by reducing human employee effort and improving fast content generation. It features a user-interactive web interface powered by AI to help users quickly create content.
The project addresses the issue of the time and effort involved in content creation, enabling fast and efficient content generation with minimal human input. The AI-powered solution uses various models and technologies to create content automatically based on user input.
- Python: The core programming language used for development.
- Streamlit: Used for building the web interface.
- Hugging Face LLM: For leveraging large language models (LLM) to generate content.
- LangChain: A framework for working with LLMs and constructing pipelines.
- Pipeline: For creating a series of processes that the AI models will go through.
- ChainPrompt: A prompt engineering technique for chaining multiple prompts to improve the output quality.
- User-friendly web interface for content generation.
- Fast content creation with minimal effort required.
- AI-powered content suggestions and completion.
- Integration with large language models to create high-quality content.
1. Clone the repository:
git clone https://github.com/your-username/AI_Content_Assistant.git
cd AI_Content_Assistant
2. Install dependencies:
pip install -r requirements.txt
3. Run the application:
streamlit run app.py```