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Python 97.47% C 1.14% Cython 0.36% C++ 0.79% Batchfile 0.01% Assembly 0.01% Dockerfile 0.01% Makefile 0.01% XSLT 0.01% Meson 0.01% Fortran 0.06% Forth 0.01% Shell 0.01% Roff 0.02% JavaScript 0.03% CSS 0.02% PowerShell 0.05% HTML 0.01%

recommendation_chatbot's Introduction

Recommendation_ChatBot

MoviesBot Chatbot

MoviesBot is a responsive chatbot application built using Flask, HTML, CSS, and JavaScript. It allows users to ask questions related to movies and provides relevant answers based on a pre-defined database. The chatbot also offers suggestions based on the conversation history to enhance user interaction.

Features

  • Question-Answering: Users can ask questions about movies, and the chatbot provides accurate answers based on the available data.
  • Conversation History: MoviesBot maintains conversation history and suggests relevant topics based on previous interactions.
  • Responsive Design: The chatbot's interface is designed to work seamlessly on desktop, tablet, and mobile devices.
  • Suggestion System: Users receive suggestions during the conversation to help them ask relevant questions.

Technologies Used

  • Flask: Web framework for building the backend server.
  • HTML/CSS: Frontend technologies for structuring and styling the user interface.
  • JavaScript: Used for dynamic interactions, fetching data from the server, and displaying suggestions.
  • OpenAI API: Utilized for natural language processing and question-answering capabilities.
  • Pinecone API: Used for similarity search and conversation history analysis.

Getting Started

To run the MoviesBot chatbot locally, follow these steps:

  1. Clone the repository:
    git clone https://github.com/your-username/moviesbot-chatbot.git
    cd moviesbot-chatbot
    

pip install -r requirements.txt

OPENAI_API_KEY=your_openai_api_key PINECONE_API_KEY=your_pinecone_api_key

python app.py or flask run

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