Update Readme

README.md

@@ -1,12 +1,99 @@
 ---
-title: N8n Workflow Generator App
-emoji: 👁
-colorFrom: purple
-colorTo: yellow
+title: n8n Workflow Generator
+emoji: 🚀
+colorFrom: red
+colorTo: green
 sdk: gradio
-sdk_version: 6.0.1
+sdk_version: 4.16.0
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# n8n Workflow Generator
+
+Generate n8n workflows using natural language! This app uses a fine-tuned **Qwen2.5-Coder-1.5B** model to convert plain English descriptions into working n8n workflows.
+
+## 🎯 Performance
+
+- **Overall Test Score:** 92.4%
+- **Training Examples:** 247 curated workflows
+- **Validation Examples:** 44
+
+## 🚀 Features
+
+- **Natural Language Input:** Describe workflows in plain English
+- **Visual Preview:** See your workflow nodes and connections
+- **TypeScript DSL:** Get clean, production-ready code
+- **n8n JSON Export:** Import directly into your n8n instance
+- **Adjustable Parameters:** Control creativity and output length
+
+## 📊 Test Results by Category
+
+| Category | Score |
+|----------|-------|
+| Basic Workflows | 100% |
+| Complexity | 96% |
+| Error Handling | 80% |
+| Loops | 67% |
+| Branching | 67% |
+| **Overall** | **92.4%** |
+
+## 💡 Example Prompts
+
+Try these prompts to see what the model can do:
+
+- "Create a webhook that sends data to Slack"
+- "Schedule that runs daily and backs up database to Google Drive"
+- "Webhook receives form data, validates email, saves to Airtable"
+- "Monitor RSS feed and post new items to Twitter"
+- "Fetch GitHub issues, if priority is high send to Slack, else email"
+
+## 🛠️ How It Works
+
+1. **Input:** You describe your workflow in natural language
+2. **Generation:** Fine-tuned Qwen2.5-Coder-1.5B generates TypeScript DSL
+3. **Conversion:** Code is converted to n8n JSON format
+4. **Visualization:** Workflow structure is displayed visually
+5. **Export:** Copy and import into your n8n instance
+
+## 📝 Model Details
+
+- **Base Model:** Qwen/Qwen2.5-Coder-1.5B-Instruct
+- **Fine-tuning Method:** LoRA (Low-Rank Adaptation)
+- **Dataset:** Curated n8n workflows from GitHub
+- **Training Framework:** Transformers + PEFT
+
+## 🎓 Training Details
+
+- **LoRA Rank:** 16
+- **LoRA Alpha:** 32
+- **Learning Rate:** 2e-4
+- **Training Strategy:** Early stopping with validation monitoring
+- **Hardware:** NVIDIA Tesla T4 GPU
+
+## 📖 Usage Tips
+
+- **Be specific:** More details = better results
+- **Use n8n terminology:** Mention specific nodes like "webhook", "Slack", "HTTP Request"
+- **Describe the flow:** "When X happens, do Y, then Z"
+- **Adjust temperature:** Lower (0.1-0.3) for consistency, higher (0.5-0.8) for creativity
+
+## 🔧 Limitations
+
+- Works best with common n8n patterns
+- May struggle with very complex branching (>5 conditions)
+- Advanced error handling might need manual refinement
+- Custom node configurations may need adjustment
+
+## 📄 License
+
+Apache 2.0
+
+## 🙏 Acknowledgments
+
+Built with:
+- [Qwen2.5-Coder](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct)
+- [Hugging Face Transformers](https://github.com/huggingface/transformers)
+- [PEFT](https://github.com/huggingface/peft)
+- [Gradio](https://gradio.app)