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EcomShoppingBuddy

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romaissaMe commited on Nov 2, 2023

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 This project leverages [Falcon LLM](https://falconllm.tii.ae/), [OpenAI](openai.com) API, [Sentence Transformer](https://www.sbert.net/docs/installation.html#install-sentencetransformers), [Hugging Face Hub](https://huggingface.co/) and [Streamlit](https://docs.streamlit.io/) to build and deploy a chatbot shopping assistant application. It relies on a dataset of Amazon products to provide tailored product recommendations aligned with user's needs. The application uses [Langchain](https://www.langchain.com/) to integrate those diverse functionalities. Data preprocessing, embedding generation, and storage in Redis are also essential components of this project.
 More details about the project are provided in [this blog post](insertalink.com).
-You can test the application by visiting the [Shopping Buddy](https://huggingface.co/spaces/RomyMy/EcomShoppingBuddy).
 ## Table of Contents

 This project leverages [Falcon LLM](https://falconllm.tii.ae/), [OpenAI](openai.com) API, [Sentence Transformer](https://www.sbert.net/docs/installation.html#install-sentencetransformers), [Hugging Face Hub](https://huggingface.co/) and [Streamlit](https://docs.streamlit.io/) to build and deploy a chatbot shopping assistant application. It relies on a dataset of Amazon products to provide tailored product recommendations aligned with user's needs. The application uses [Langchain](https://www.langchain.com/) to integrate those diverse functionalities. Data preprocessing, embedding generation, and storage in Redis are also essential components of this project.
 More details about the project are provided in [this blog post](insertalink.com).
+You can test the application by visiting [Shopping Buddy](https://huggingface.co/spaces/RomyMy/EcomShoppingBuddy).
 ## Table of Contents