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faqchatbot's Introduction

Hi I'm Yogesh

I:

  • ๐ŸŒฑ Create free educational content about Python, Machine/Deep Learning, etc. and open-source it under 'TeachingDataScience' repository here.
  • ๐Ÿ‘ฏ Counsel for Mid-career transition to Data Science. My own transition is here and here is my TEDX talk on this topic. General Learning Path for such transition is here.
  • ๐Ÿ’ฌ Run office hours for any technical or career coaching queries, on Saturdays 2 to 5 pm (India time). Feel free to send email for appointment to my firstnamelastname at yahoo dot com . More details here and here
  • ๐Ÿ“ซ Post on LinkedIn regarding AI-ML and allied topics. I would be very happy if you follow me there. ๐Ÿ˜Š
  • โšก Publish my blogs-stories on Medium as well. Feel free to follow me here.

Github Stats

Thank you ๐Ÿ™

faqchatbot's People

Contributors

dependabot[bot] avatar piyushbhavsar12 avatar pritam1984314 avatar yogeshhk avatar

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faqchatbot's Issues

other language

I would like to ask, if you want to change to Chinese FAQ, is it possible to replace the csv data?
Thank you

New added question/answer would not work

I add the new question/answer to Greetings.cvs file as followed:
Matrix,is great company,greetings

Then run chatbot. Open browser, and open the chatbot, and enter "Matrix" as question, but the reply is always "Hi".
Not work as expected.
Or I miss something that is required to make new added question work. Looking forward to reply! Thanks.

Dependencies / requirements

The app need a lot of libraries as requirements, and there is no hint on the readme file o requirement/setup file.
It would be great if you add them.

I had the pip3 install the following libraries manullay:

  • flask
  • numpy
  • scipy
  • sklearn
  • pandas
  • nltk
    and much more

Please provide Requirements.txt

Can you please provide requirements.txt for all the modules to be installed. I'm getting module conflicts while installing.

Which sentence embedding worked best in similarity task?

I see that you're using bunch of sentence vectorizers. In your experience, which one worked best for you. In my experience building a question answering system, OOTB BERT embeddings did not produce good results. But if you fine-tune BERT on STS datasets, then it performs much better for Semantic Similarity task. In general, USE still worked best for me.

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