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🤖 Reddit Chatbot report:
🤖 Reddit Chatbot notebook:
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ChatGPT API is recently released. In this project tutorial video I’ll be walking you through how to build an ask-me-anything chatbot using ChatGPT API that answers all your questions about data science, ML, and AI based on content from some popular subreddits. This project idea can be applied to many different use cases. I hope you had fun watching! 🤗
🔑 TIMESTAMPS
================================
0:00 – Intro
0:52 – Project plan
1:34 – Getting Reddit data
2:53 – Datalore (sponsor)
4:33 – Getting Reddit data – continued
10:01 – Exploratory data analysis
13:11 – Wordcloud post titles
15:32 – Sentiment & emotion analysis
19:06 – Building a Reddit chatbot with ChatGPT API
26:19 – Building an interactive report
26:43 – Further ideas & Conclusions
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#chatgpt #api #datascience #ThuVu #dataanalytics
Link do Vídeo
This is so far very good project, well done.
Video starts at 19:45
Very interesting ! It seems so easy watching the video but there are a lot of work behind the scene. Thanks for all your effort !
Hi, I am trying to replicate your code to practice. But getting an error that module ‘reddit’ has no attribute. I also writing this code on datalore. Tried web search but no success. Would you be able to assist me here please?
Can you post the notebook in github? Datalore have bugs exporting to .pyinb or .zip. And where to get the reddit clientid and secret?
great video. thank you.
Information overloaded, you should consider explaining thing little slower.
Hermoso video
❤
Quite hard to wrap my head around this. One question, would it be possible to download the chat history of a discord server and create a bot of a person
I love this project. Thanks for sharing.
Thank you! Great video and project 👍
thanks so much really a lovely notebook and the way you put in words and video to guide us I have create mine and is working really thanks for share I encourage you to keep going regards from NYC
Nice commercial for Deepnote 😀
Awesome!
Already subscribed ❤
humm could i do this with google colab? ….
Toll Danke!!!
Amazing video and project 👏 👌
Just WOW …!!!
Will this q and a system have context memory ? For example if I ask something like what's NLP ? And then in next question I ask give me some examples of it. Will it understand that I am referring to NLP ?
I did this same project using embedding models first and then shifting to gpt turbo but I wasn't able to get this continues conversation system (which is required for my specific project).
wow you do do youtube as work… i am in loveha ha… can you teach me more? look at my sad youtube… there only 2 vido i me… i wnt more undersanding of data
I’m a data science intern and I really like this video, thanks you 🥳🥳I’ll definitely try datalore
Love all your videos ❤❤
Omg! I love your idea of chatbot. Now, I am inspired to create my own version. Thank you so much
This is such a powerful tool you built, Thu! 💪
BTW was actually looking for a way to compress contexts; so I’m glad you shared LlamaIndex 🙌🏼
I was literally just talking with someone about this an hour ago at work! Great timing!!
Tbh i was planning to build something like this for the industry I'm working in but was little lost and not sure how good it will be… I think your video will be a good way to start.. haven't finished the video yet let me go back and finish it 🐒
All very nice, but how reliable is the Reddit Data?
chatgpt is not there as you set the threshold 2 is it should be 1.
This notebook part was very interesting. It's difficult to show that in this way. Congratulations and thank you!
Please keep making more videos and post more frequently ❤ love your content
Amaizing proyect. I love it ❤
Thanks Thu vu
You can just replace the lambda by the function, it will be less confusing and marginally faster.
just use "get_emotions" instead of "lambda x: get_emotions(x)"
chị là ng việt à?
Literally Liked the video even before watching the video because Thu Vu never disappoints (lol) …
I love your storytelling
damn this is such a very good project and not to mention the production of this video also!
Great video
When you like a video just before you consume its content… 😊