Update README.md

README.md

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-Relationship Advisor
-This is an AI-powered relationship counselling app deployed on Hugging Face Spaces using Streamlit. The app leverages Retrieval-Augmented Generation (RAG) to provide insightful and context-aware relationship advice based on user queries.
+---
+title: "AI Relationship Counsellor"
+emoji: "❤️"
+colorFrom: "red"
+colorTo: "blue"
+sdk: "streamlit"
+sdk_version: "1.16.0"
+app_file: "app.py"
+pinned: false
+---
 
-Features
-Upload Documents: Users can upload plain text files containing relationship concerns, chat logs, or journal entries.
-
-Contextual Understanding: Uses FAISS for efficient similarity search and Sentence Transformers for embedding text.
-
-User-Friendly Interface: Built with Streamlit for an interactive and easy-to-use experience.
-
-Technologies Used
-Streamlit: Web framework for interactive UI.
-
-FAISS: Vector search for efficient document retrieval.
-
-Sentence Transformers: Embedding model (all-MiniLM-L6-v2) for text representation.
-
-OpenAI API: Queries an AI model (Deepseek) for generating advice.
-
-Hugging Face Spaces: Deployment platform.
-
-Installation & Running Locally
-To run this app locally, install the dependencies and start the Streamlit server:
-
-pip install -r requirements.txt
-streamlit run app.py
-Deployment