Add enhanced README with widget and metadata

README.md

@@ -1,11 +1,187 @@
-# n8n Code Generator - Quick Fix Upload
+---
+library_name: peft
+base_model: codellama/CodeLlama-13b-hf
+tags:
+- code-generation
+- text-generation
+- llama
+- turkish
+- n8n
+- workflow
+- automation
+- fine-tuned
+- lora
+language:
+- en
+- tr
+pipeline_tag: text-generation
+widget:
+- text: "Create an n8n workflow that triggers when a webhook receives data:"
+  example_title: "n8n Webhook Workflow"
+- text: '{"name": "HTTP Request", "type": "n8n-nodes-base.httpRequest", "parameters": {'
+  example_title: "n8n HTTP Node"
+- text: "n8n automation: monitor CSV file and send Slack notification:"
+  example_title: "n8n File Monitor + Slack"
+- text: "Build n8n workflow for API data processing:"
+  example_title: "n8n API Processing"
+inference: true
+license: llama2
+model_type: llama
+---
+
+# 🚀 Code Llama 13B - n8n Workflow Generator
+
+<div align="center">
+
+![Model Type](https://img.shields.io/badge/Model-LoRA%20Adapter-blue)
+![Base Model](https://img.shields.io/badge/Base-CodeLlama%2013B-green)
+![Specialization](https://img.shields.io/badge/Specialty-n8n%20Workflows-orange)
+![License](https://img.shields.io/badge/License-Llama%202-red)
+
+</div>
+
+Bu model, **CodeLlama-13b-hf**'den fine-tune edilmiş, **n8n workflow automation** için özelleştirilmiş bir kod üretim modelidir.
+
+## 🎯 Özelleştirilmiş Alanlar
+
+- ✅ **n8n Workflow Creation** - Webhook, HTTP, API workflows
+- ✅ **Node Configurations** - JSON node parameters  
+- ✅ **Automation Logic** - File monitoring, data processing
+- ✅ **Integration Patterns** - Slack, email, database integrations
+- ✅ **Best Practices** - n8n terminology ve syntax
+
+## 🚀 Hızlı Kullanım
+
+### Widget Kullanımı
+Yukarıdaki widget'ta örnek promptları deneyebilirsiniz!
+
+### Kod ile Kullanım
 
-Base model ile kullanımı:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModel
 
-base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-13b-hf")
+# Base model yükle
+base_model = AutoModelForCausalLM.from_pretrained(
+    "codellama/CodeLlama-13b-hf",
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+# n8n fine-tuned adapter ekle
 model = PeftModel.from_pretrained(base_model, "AlpYzc/code-llama-13b-turkish-quick-fix")
+
+# Tokenizer
 tokenizer = AutoTokenizer.from_pretrained("AlpYzc/code-llama-13b-turkish-quick-fix")
+
+# n8n workflow üret
+prompt = "Create an n8n workflow that triggers when a webhook receives data:"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(inputs.input_ids, max_new_tokens=150, temperature=0.7)
+result = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(result)
 ```
+
+## 📊 Performance Comparison
+
+| Model | n8n Terms | Workflow Focus | JSON Structure |
+|-------|-----------|----------------|----------------|
+| **Original CodeLlama** | ⭐⭐ | ⭐⭐ | ⭐⭐ |
+| **n8n Fine-tuned** | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
+
+## 🎨 Example Outputs
+
+### Input: "Create n8n webhook workflow:"
+
+**Original CodeLlama:**
+```
+Create a n8n webhook workflow:
+1. Add a webhook node
+2. Create a webhook url
+3. Update the n8n workflow with the webhook url
+```
+
+**n8n Fine-tuned:**
+```
+Create a webhook in n8n:
+1. Create a new workflow.
+2. Add a webhook node.
+3. Copy the URL from the Webhook node to the clipboard.
+4. Paste the URL into the N8N_WEBHOOK_URL field in the .env file.
+```
+
+## 🛠️ Training Details
+
+- **Base Model**: `codellama/CodeLlama-13b-hf`
+- **Method**: LoRA (Low-Rank Adaptation)
+- **Training Data**: n8n workflow examples
+- **Training Duration**: ~3.3 hours
+- **Final Loss**: 0.1577
+- **Parameters**: 250M adapter weights
+
+## 🎯 Use Cases
+
+### 1. **n8n Workflow Generation**
+```python
+prompt = "Create n8n workflow for monitoring file changes:"
+# Generates complete n8n workflow with proper nodes
+```
+
+### 2. **Node Configuration**
+```python
+prompt = '{"name": "HTTP Request", "type": "n8n-nodes-base.httpRequest",'
+# Generates valid n8n node JSON configuration
+```
+
+### 3. **Automation Patterns**
+```python
+prompt = "n8n automation: CSV processing and Slack notification:"
+# Generates multi-step automation workflows
+```
+
+## ⚙️ Model Requirements
+
+- **GPU Memory**: ~26GB (for full model)
+- **RAM**: 32GB+ recommended
+- **CUDA**: 11.8+
+- **Python**: 3.8+
+- **Dependencies**: `transformers`, `peft`, `torch`
+
+## 🔗 Related Links
+
+- **Base Model**: [codellama/CodeLlama-13b-hf](https://huggingface.co/codellama/CodeLlama-13b-hf)
+- **n8n Documentation**: [n8n.io](https://n8n.io)
+- **LoRA Paper**: [LoRA: Low-Rank Adaptation](https://arxiv.org/abs/2106.09685)
+
+## 📜 Citation
+
+```bibtex
+@misc{code-llama-n8n-2025,
+  title={Code Llama 13B n8n Workflow Generator},
+  author={AlpYzc},
+  year={2025},
+  url={https://huggingface.co/AlpYzc/code-llama-13b-turkish-quick-fix}
+}
+```
+
+## ⚠️ Limitations
+
+- Specialized for n8n workflows - may not perform well on general coding tasks
+- Requires significant GPU memory for full model inference
+- LoRA adapter needs base model for functionality
+- Output quality depends on prompt specificity
+
+## 🤝 Contributing
+
+Bu model n8n community için geliştirilmiştir. Feedback ve improvement önerileri memnuniyetle karşılanır!
+
+---
+
+<div align="center">
+
+**🚀 Ready to automate your workflows with n8n?**
+
+[![Use with Transformers](https://img.shields.io/badge/🤗%20Transformers-Use%20Model-yellow)](https://huggingface.co/AlpYzc/code-llama-13b-turkish-quick-fix)
+[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_generation.ipynb)
+
+</div>