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drawing

Natural Language Code For Film

Find movies in seconds

Part of the project Semantic Search AI Hackathon

Tools used

Running Locally

  • git clone the repo
  • pip install -r requirements.txt
  • create pinecone and cohere account
  • create .env file inside project directory and write PINECONE_API=<your_pinecone_key> COHERE_API=<your_cohore_key>
  • run python main.py

How we made it

Dataset: Movies Daily Update Dataset

  • The vector size is 4096(cohere-large).
  • Only 10k of 700k data being used.
  • No FineTuning!! No Preprocessing!!

Making of the model