Movie Quote Search application is a web-based tool that enables users to conveniently search for and explore movie quotes based on specific search terms.
The Movie Quote Search application is a web-based tool that allows users to search for movie quotes based on a specific search term. Whether you're looking for a memorable line from a classic film or trying to find the origin of a popular quote, this application provides a convenient way to discover and explore movie quotes.
The application leverages the power of OpenAI's text-embedding-ada-002 model to analyze and compare the semantic similarity between search terms and the stored movie quotes. By utilizing the pre-trained embeddings of the movie quotes, the application can efficiently identify and retrieve the most relevant quotes that match the user's search input.
Key Features of the Movie Quote Search application:
Efficient Search: The application employs advanced text embedding techniques to quickly search and retrieve the most relevant movie quotes based on the user's search term.
Semantic Similarity: By utilizing the text-embedding-ada-002 model, the application considers the semantic meaning of the search term, allowing for a more accurate and contextualized search experience.
Top Matching Results: The application provides the top matching quotes based on the search term, allowing users to find the most relevant quotes without sifting through a large number of results.
User-Friendly Interface: The web-based interface of the application offers a simple and intuitive design, making it easy for users to enter their search terms and view the search results.
Customization: The application can be easily extended and customized to accommodate additional features or integrate with other systems or APIs.
Configuration
The application utilizes OpenAI's text-embedding-ada-002 model for embedding calculations. You can modify the ENGINE variable in the code to use a different model if desired. Additionally, you can customize the application's appearance or behavior by modifying the HTML templates and CSS files in the project.
Contact
For any questions, feedback, or inquiries, please feel free to reach out to NISHCHAY PATEL at nickpat31022@gmail.com. We appreciate your interest and involvement in the project!