Movie Recommender

Semantic Search based Movie Recommendation system.
In contrast to traditional search methods, semantic search is a method of extracting relevant information from a large corpus of documents.
This repository is an attempt to illustrate the same.

Demo Gif

Technologies Used

• Backend: Flask, Jina
• Frontend: Html , CSS, Javascript , React.js

How to Run Locally ?

• Clone the Repository

https://github.com/Akshit17/MovieRecommender.git

• Create a virtual environment

virtualenv myenv 

• For Linux

source ./myenv/bin/activate

• For Windows

./myenv/Scripts/activate

• Install all the required packages with pip

pip3 install -r requirements.txt

💢 Make sure that the dataset in ./data_finalize/movies_metadata.csv is indexed by running jina_app.py with line 55 Uncommented.
Dont Forget to Comment it again after indexing to avoid indexing everytime a query passed when integrating it with Flask app.💢

• Run jina_app.py(Again after indexing the data from previous step) to serve Flow as a service . {Note down the address at which it is served from CLI for eg. "0.0.0.0:34567"}

  python3 jina_app.py 

💢Make Sure in app.py line 44 url is same as where Flow is being served so that Flask app and Jina can communicate💢

• Run the Flask Application app.py in another terminal alongside jina_app.py to get the web applcation running at "localhost:port"

 python3 app.py

🍙 🍟 You've made it to the bottom 🧁 🍕