Lalit Pagaria

How about using FastAPI and uvcorn? In past for Obsei (https://github.com/obsei/obsei-rest), I used these techs. They are also suitable for production. Along with FastAPI and Uvcorn, I used apscheduler which...

@tstadel agree with you on the performance aspect. But there are few use cases where s3 can be a good alternative - - Very low infra cost - Very less...

Yes @NirantK we already hai streamlit based UI. You can spin up locally. Please instructions out at https://www.github.com/obsei/obsei/tree/master/sample-ui%2FREADME.md

@NirantK Yes we are working on creating more final output. One I captured in this Demo video (Twitter->Anonymizer->Slack): https://www.youtube.com/watch?reload=9&v=GTF-Hy96gvY Check this out.

Pytorch does not support 3.10 https://github.com/pytorch/pytorch/issues/66424

@shahrukhx01 Thank for the information. Let me read them out. For first version would it possible to build cluster on list of texts. For example if Obsei fetch 200 reviews,...

Yeah my bad. Then let's integrate Topic modelling first.

LinkedIn API to use https://docs.microsoft.com/en-us/linkedin/marketing/integrations/community-management/shares/network-update-social-actions?tabs=http#retrieve-comments-on-shares Auth: https://docs.microsoft.com/en-us/linkedin/consumer/integrations/self-serve/sign-in-with-linkedin Create App: https://developer.linkedin.com/

@dominicdev Thank you for reporting this. Hope you are doing this after initializing the source? ``` # This will fetch information from configured source ie twitter, app store etc source_response_list...

Obsei only supports V2 APIs. Hopefully, you are generating a v2 API client. (Refer image `V2 Access` should be there on client)  Also, try passing only `consumer_key,consumer_secret`, let Obsei...