End To End Multi Code Assistant App Using LLM

Streamlit
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Created by team AI enthusiast on April 29, 2024

The project you've described aims to search for YouTube videos related to a specific query using the YouTube Data API. Here's a longer description: Description: The project leverages the YouTube Data API to search for videos based on a user-provided query string. This is particularly useful for individuals or applications looking to find relevant video content on YouTube programmatically. How It Works: Input Query: Users provide a query string representing the topic they're interested in finding videos about. For example, the query string could be "factorial of a number". API Key Setup: The project requires a valid Google Cloud API key with access to the YouTube Data API. This key is used to authenticate requests made to the API. API Request: The search_youtube_videos function constructs a request to the YouTube Data API's search.list method. The request includes parameters such as the query string (q), the part of the resource to include in the API response (part), the type of resource (type), and the maximum number of results to return (maxResults). API Response: The request is executed, and the API returns a response containing a list of videos matching the search criteria. Processing Response: The function parses the response to extract relevant information about each video, such as its unique video ID. Generating Video Links: For each video in the response, the function constructs a YouTube video link using the video ID and appends it to a list of video links. Output: Finally, the function returns the list of video links, which can be used by the caller to display or further process the search results.

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