Spaces:
Sleeping
Sleeping
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README.md
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Relationship Advisor
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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.
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Features
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Upload Documents: Users can upload plain text files containing relationship concerns, chat logs, or journal entries.
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Contextual Understanding: Uses FAISS for efficient similarity search and Sentence Transformers for embedding text.
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User-Friendly Interface: Built with Streamlit for an interactive and easy-to-use experience.
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Technologies Used
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Streamlit: Web framework for interactive UI.
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FAISS: Vector search for efficient document retrieval.
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Sentence Transformers: Embedding model (all-MiniLM-L6-v2) for text representation.
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OpenAI API: Queries an AI model (Deepseek) for generating advice.
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Hugging Face Spaces: Deployment platform.
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Installation & Running Locally
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To run this app locally, install the dependencies and start the Streamlit server:
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pip install -r requirements.txt
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streamlit run app.py
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Deployment
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This app is deployed on Hugging Face Spaces and can be accessed here.
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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