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Review Summarizer is a Streamlit-based web app that uses Cohere's Large Language Model (LLM) to generate concise summaries from customer reviews. It simplifies long or detailed feedback into quick, meaningful insights using AI-powered text summarization.

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KommanaPavani/reviewsummarizer

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AI-Powered Customer Review Summarizer

This project uses OpenAI's GPT model to automatically summarize long customer reviews into short, clear summaries.

Features

  • LLM-powered summarization
  • Simple and interactive Streamlit UI
  • Uses prompt engineering for concise summaries

How to Run

  1. Clone the repo
  2. Install dependencies: pip install -r requirements.txt
  3. Add your OpenAI API key to a .env file
  4. Run the app: streamlit run app.py

Example

Input:
"I recently purchased this product and was pleasantly surprised by the build quality. However, the battery life was disappointing..."

Output:
"The product has great build quality but poor battery life."

Tech Stack

  • Python
  • Streamlit
  • OpenAI GPT

About

Review Summarizer is a Streamlit-based web app that uses Cohere's Large Language Model (LLM) to generate concise summaries from customer reviews. It simplifies long or detailed feedback into quick, meaningful insights using AI-powered text summarization.

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