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Deployment #4

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fedepacher opened this issue Jun 8, 2023 · 0 comments
Open

Deployment #4

fedepacher opened this issue Jun 8, 2023 · 0 comments
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@fedepacher
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fedepacher commented Jun 8, 2023

Description

This issue aims to create a deployment of the system in Render to be accessed via web.

Task

  • Create a webserver with Render. To do so, use this tutorial.
  • Create a virtual environment and install all the dependencies for this project.
python -m venv venv
  • Create the requirements.txt file.
pip freeze > requirements.txt

Deployment access

In order to access the system, you can use the folowing link address:

https://moviesrecomendation.onrender.com

The endopoint availables are:

  • /cantidad_filmaciones_mes/{month}: Get the amount of movies released in the requested month.
  • /cantidad_filmaciones_dia{day}: Get the amount of movies released in the requested day.
  • /score_titulo/{title}: Get the released year and the score of the requested title.
  • /votos_titulo/{title}: Get the released year, vote count and vote average of the requested title.
  • /get_actor/{actor}: Get the amount of movies starred by the actor, the return of the movies and average return of the movie.
  • /get_director/{director}: Get a list of movies of the director, the return, the budget and the revenues of each movie as a list.
  • /recomendacion/{title}: Get the top 5 movies recommended based on overviews, gendre and score of movies.

Access endpoind example

https://moviesrecomendation.onrender.com/get_actor/tom hank
@fedepacher fedepacher self-assigned this Jun 8, 2023
@fedepacher fedepacher moved this to In Progress in RecomendationML Jun 8, 2023
@fedepacher fedepacher moved this from In Progress to Done in RecomendationML Jun 8, 2023
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