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- ---
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- title: Relationship Counselling
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- emoji: 🐨
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- colorFrom: yellow
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- colorTo: green
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- sdk: streamlit
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- sdk_version: 1.42.2
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- app_file: app.py
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- pinned: false
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- license: apache-2.0
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- short_description: This is an AI-powered relationship counselling app
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- ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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