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README.md

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-# mental-health
-This project uses state-of-the-art NLP models to assist with mental health support by analyzing clinical or trauma-related patient reports.   It aims to provide summarized insights, emotional profiling, and self-care strategies based on the content, using Hugging Face Transformers and Gradio.
+# 🧠 Mental Health Assistant: PTSD-Aware Text Analysis
+
+**A mental health NLP tool that summarizes trauma narratives, detects emotional tone, classifies psychological state, and provides LLM-generated coping suggestions for PTSD.**
+
+---
+
+## 📌 Description
+
+This project uses state-of-the-art NLP models to assist with mental health support by analyzing clinical or trauma-related patient reports.  
+It aims to provide summarized insights, emotional profiling, and self-care strategies based on the content, using Hugging Face Transformers and Gradio.
+
+---
+
+## 💡 Features
+
+| Task                      | Model Used                                                                 |
+|---------------------------|----------------------------------------------------------------------------|
+| 📝 Summarization             | `machinelearningzuu/ptsd-summarization`                                   |
+| 📊 Sentiment Analysis        | Hugging Face `sentiment-analysis` pipeline                                |
+| 💡 Emotion Classification    | `nateraw/bert-base-uncased-emotion`                                       |
+| 🛠 PTSD Coping Suggestions  | `deepseek-ai/deepseek-llm-7b-chat`                                         |
+
+---
+
+## 🚀 Live Demo
+
+👉 **Launch on Hugging Face Spaces:**  
+[https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME](https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME)
+
+---
+
+## 🔐 Security Note
+
+This app uses a Hugging Face token to access gated models like DeepSeek.
+
+Use Hugging Face **Secrets** for safe token management (in Spaces dashboard):
+
+```python
+import os
+from huggingface_hub import login
+login(os.getenv("HF_TOKEN"))