Building a Chatbot with ChatGPT API and Reddit Data

TL;DR

Learn how to build a chatbot using Reddit data to answer questions about data science, machine learning, and AI, and deploy it as an interactive notebook.

Transcript

chat CBT API was released just a few days ago at the time of making this video which is the same model underlying the chat triple product while being 10 times cheaper than the other existing GPT 3.5 models tools like chat TPT is trained on a lot of different data sources on the internet some of which we don't even know but what if we want to build ... Read More

Key Insights

• 🔎 The new chat CBT API is an affordable alternative to other GPT 3.5 models, making it a popular choice for building chatbots using custom data sources like Reddit threads.
• 🚀 The provided content walks through the process of building an ask me anything chatbot that uses data from popular subreddits in the data science, machine learning, and AI domain.
• 🔍 The initial steps involve retrieving Reddit posts and comments related to data science using the Reddit API, allowing for exploration of trending topics and sentiments.
• 📊 The content demonstrates how to perform exploratory data analysis on the collected Reddit data, including analyzing the distribution of posts over the years and creating word clouds to identify trending topics.
• 😀 Sentiment analysis and emotion recognition are used to analyze the sentiment and emotions in the comments related to specific topics like chat CBT and stable diffusion.
• 💬 The content also covers the process of using the llama index and chat TPT API to create a chatbot that can answer questions based on the indexed Reddit data.
• 📝 The data science project is performed using Data Lur, a collaborative data science platform that offers convenient features like real-time collaboration, scheduling notebooks, and hosting private versions for sensitive data.
• 💻 The project can be shared as an interactive notebook or as an interactive report, allowing others to interact with the chatbot and explore the data and insights.

Questions & Answers

Q: How does the Reddit API differ from other APIs like Twitter's API?

The Reddit API is a free API that allows users to pull the most up-to-date information, while Twitter's API is no longer free. Additionally, the Reddit API has a listing limit of 1000, unlike other third-party APIs like Pushshift API, which is less stable.

Q: What is the purpose of the exploratory analysis done on the Reddit data?

The exploratory analysis helps identify trending data science topics on Reddit, analyze sentiment and emotions around these topics, and gain insights into the distribution and characteristics of the data.

Q: How can you visualize and analyze the distribution of posts over the years?

By creating a bar chart with the created year on the x-axis and the count of posts on the y-axis, the distribution of posts over the years can be visualized. Different colors can be used to represent different subreddits.

Q: How can sentiment analysis and emotion recognition be applied to the Reddit comments?

Pre-trained models from the Transformers package can be used for sentiment analysis and emotion recognition. The sentiment and emotion of comments related to specific topics, such as chat TPT, can be classified and analyzed.

Q: What are the benefits of using Lama Index and the GPT 3.5 turbo model for creating a chatbot?

Lama Index helps overcome token limits by indexing large context data, allowing the use of GPT 3.5 turbo model for generating responses to user questions. This combination provides access to the reasoning capabilities of the language model and enhances the chatbot's performance.

Q: How can the interactive report feature of DataLore be utilized?

The interactive report feature allows users to play around with interactive elements like text boxes, sliders, and dropdowns, enabling them to change values and recalculate cells. This feature can be used to create engaging and interactive chatbot experiences.

Q: How can the interactive notebook with the chatbot be shared with others?

By copying the notebook link, the notebook can be shared for others to view or edit. Alternatively, the notebook can be turned into an interactive report, and the link to the report can be shared for others to access and interact with the chatbot.

Summary & Key Takeaways

• This video demonstrates how to build an ask me anything chatbot that uses custom data from Reddit to answer questions about data science, machine learning, and AI.

• The first half of the video focuses on retrieving Reddit posts and comments related to data science and exploring the data.

• The second half of the video covers the steps to build the chatbot using the ChatGPT API and the Reddit dataset.

• The chatbot is deployed as an interactive notebook that can be shared with others using DataElore, a collaborative data science platform.