bot chatbot chatgpt-api langchain python

Customer Care Bot 🤖

The Customer Care Bot is a cutting-edge customer support solution designed to revolutionize the way e-commerce websites interact with and assist their customers. Powered by OpenAI's advanced GPT-3.5 language model, this intelligent bot offers a seamless and personalized customer service experience.

Key Features:

Conversational Expertise: The Customer Care Bot engages customers in dynamic, natural conversations, making them feel heard and understood. It replicates the warmth and effectiveness of human customer support.
Efficient Query Resolution: With its deep understanding of natural language, the bot efficiently addresses customer queries, providing precise and timely responses. Customers no longer need to wait for support staff to get answers.
Product Recommendations: Leveraging its knowledge of products and customer preferences, the bot can recommend relevant products, enhancing upselling and cross-selling opportunities.
Info Extraction: The bot excels at extracting critical information such as order IDs and product preferences from conversations. This feature streamline processes like order tracking and customization.
Context Management: Throughout the conversation, the bot maintains context, enabling it to provide consistent and personalized assistance. Customers can switch topics or revisit previous questions seamlessly.

Introduction

Welcome to the Customer Care Bot! This README provides an overview of the approach, methods, decisions, assumptions, and instructions for setting up and running the project.

Approach and Methods

The Chatbot is designed to act as a customer support agent for an e-commerce site. It leverages the OpenAI language model for conversational interactions. The key functionalities include answering customer queries, providing product recommendations, and extracting order IDs and product preferences.

Decisions Taken

Language Model: OpenAI's GPT-3.5 is used for generating responses and maintaining conversations.
Memory Management: A ConversationBufferMemory is employed to store and manage chat history.
Info Extraction: An InfoExtraction module is created to extract order IDs and product preferences from conversations.

Assumptions

Users will interact with the bot in a conversational manner.
The bot will maintain context within a session but will not store information across sessions(only locally for now).
Users are interested in receiving accurate and helpful responses.

Prerequisites

Python 3.10+
OpenAI API key
venv module (install with pip install virtualenv if needed)

Installation

Instructions on how to install and set up the project.

git clone https://github.com/subhan97ahmed/customer-care-bot.git
cd customer-care-bot

Create and Activate Virtual Environment

Navigate to Project Directory:
```
 cd /path/to/your/project
```

Create Virtual Environment:

For macOS and Linux:

pip install virtualenv
python3 -m venv env

For Windows:

pip install virtualenv
python -m venv env

Activate Virtual Environment:

For macOS and Linux:
```
source env/bin/activate
```
For Windows:
```
.\env\Scripts\activate
```

pip install -r requirements.txt

Usage

open main.py and add openai api key

import os
os.environ["OPENAI_API_KEY"] = "your-api-key"

# Run the application
cd bot
python main.py

API Usage

# Run the application
cd bot
uvicorn api_endpoint:app --reload

open browser and go to http://127.0.0.1:8000/docs

Contributing

Contributions to the Customer Care Bot project are welcome! If you'd like to contribute, please follow these guidelines:

Fork the repository.
Create a new branch for your feature or bug fix.
Make your changes and commit them with clear, descriptive messages.
Push your branch to your forked repository.
Submit a pull request to the main repository, describing the changes you've made.

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