An AI-powered application that instantly generates high-quality blogs and news articles on any topic you choose.
Built with Gradio and Hugging Face Transformers, this tool uses cutting-edge natural language processing models to craft engaging, informative, and human-like content in seconds.
🔗 Live Demo: Hugging Face Space
- ✍ Instant Blog Generation – Create long-form blog posts in seconds.
- 📰 Automated News Writing – Generate fact-style news articles instantly.
- 🎯 Topic-Based Generation – Just enter your topic, and the AI will handle the rest.
- 🌐 Web-Based UI – No installation required; use it directly in your browser.
- ⚡ Powered by Hugging Face Models – High-quality, context-aware text generation.
- 🎨 Minimal & Clean Interface – Focus only on creating content without distractions.
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Blog Generator | News Generator |
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git clone https://github.com/sattusaipraneeth/AI-Blog-Nwes-Generator.git cd AI-Blog-Nwes-Generator 2️⃣ Install dependencies bash Copy Edit pip install -r requirements.txt 3️⃣ Run the app locally bash Copy Edit python app.py Or run using:
bash Copy Edit gradio app.py
📚 How It Works User Input – Enter your desired topic or headline.
Model Selection – The backend uses Hugging Face's transformer models for text generation.
AI Content Creation – AI creates blog-style or news-style content based on your choice.
Display Output – The generated text is shown instantly in the web interface.
🛠 Key Skills & Technologies Python
Gradio
Hugging Face Transformers
Natural Language Processing (NLP)
Text Generation Models (e.g., GPT-2, BLOOM, etc.)
Web Application Deployment
💡 Learnings During the development of this project, I learned:
How to integrate Hugging Face models with a Gradio interface.
The importance of prompt engineering for improving AI-generated content.
Deploying machine learning apps seamlessly on Hugging Face Spaces.
Creating a minimal UI that balances functionality with simplicity.
❤️ What I Liked Most I enjoyed seeing how quickly AI can transform a few words into a fully structured blog or news article. Also, deploying it on Hugging Face and sharing it with others in real time was extremely satisfying.
📄 License This project is licensed under the MIT License – feel free to use, modify, and share.
👤 Author Saipraneeth Sattu 🔗 Portfolio | LinkedIn | GitHub