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Added YouTube Metadata Reader (#12975)
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Troyusrex2 committed May 2, 2024
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repos:
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rev: 22.3.0
hooks:
- id: black
language_version: python3
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poetry_requirements(
name="poetry",
)
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GIT_ROOT ?= $(shell git rev-parse --show-toplevel)

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# LlamaIndex Readers Integration: Youtube-Metadata

```bash
pip install llama_index.readers.youtube_metadata
```

This loader fetches the metadata of Youtube videos using the Google APIs. (https://www.googleapis.com/youtube/v3/videos?part=snippet,statistics&id={videos_string}&key={api_key}). You must have a Google API key to use.

Transcripts of the text transcript of Youtube videos is fetched using the `youtube_transcript_api` Python package.

## Usage

Simply pass an array of YouTube Video_ID into `load_data`.

```python
from llama_index.readers.youtube_metadata import YoutubeMetaData

api_key = "Axxxxx" # youtube API Key

video_ids = ["S_0hBL4ILAg", "a2skIq6hFiY"]

youtube_meta = YoutubeMetaData(api_key)
details = youtube_meta.load_data(video_ids)
```

This can be combined with the YoutubeTranscriptReader to provide more information for RAG AI inquiries.

```python
from llama_index.readers.youtube_transcript import YoutubeTranscriptReader
from llama_index.readers.youtube_metadata import YoutubeMetaData

video_ids = ["S_0hBL4ILAg", "a2skIq6hFiY"] # Example video IDs
yt_metadata = YouTubeMetaData(api_key=api_key)
print("Testing YouTubeMetaData...")
print(yt_metadata.load_data(video_ids))

yt_meta_transcript = YouTubeMetaDataAndTranscript(api_key=api_key)
print("Testing YouTubeMetaDataAndTranscript...")
print(yt_meta_transcript.load_data(video_ids))
```

The Video_id for youtube videos is right in the URL. In this URL: https://www.youtube.com/watch?v=a2skIq6hFiY&t=60s

The video_Id is 'a2skIq6hFiY&t'.
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python_sources()
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from llama_index.readers.youtube_metadata.base import (
YouTubeMetaData,
YouTubeMetaDataAndTranscript,
)

__all__ = ["YouTubeMetaData", "YouTubeMetaDataAndTranscript"]
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# YoutubeMetaData.py
# Class to return Youtube Meta data for a video ID
import requests
from pydantic import Field
from typing import Any, List, Dict
from youtube_transcript_api import YouTubeTranscriptApi
from llama_index.core.readers.base import BasePydanticReader


class YouTubeMetaData(BasePydanticReader):
api_key: str

def load_data(self, video_ids):
details = {}

def chunks(lst, n):
"""Yield successive n-sized chunks from lst."""
for i in range(0, len(lst), n):
yield lst[i : i + n]

video_id_chunks = list(chunks(video_ids, 20))
for chunk in video_id_chunks:
videos_string = ",".join(chunk)
url = f"https://www.googleapis.com/youtube/v3/videos?part=snippet,statistics&id={videos_string}&key={self.api_key}"
response = requests.get(url).json()
if "items" not in response:
print("Error in API response:", response)
continue

for item in response["items"]:
video_id = item["id"]
details[video_id] = {
"title": item["snippet"]["title"],
"description": item["snippet"]["description"],
"publishDate": item["snippet"]["publishedAt"],
"statistics": item["statistics"],
"tags": item["snippet"].get("tags", []),
"url": f"https://www.youtube.com/watch?v={video_id}",
}

return details


class YouTubeMetaDataAndTranscript(BasePydanticReader):
api_key: str = Field(..., description="API key for YouTube data access")
metadata_loader: YouTubeMetaData = None # Don't instantiate here
transcript_loader: Any = YouTubeTranscriptApi # Assume this is a simple callable

def initialize_loaders(self):
if not self.metadata_loader:
self.metadata_loader = YouTubeMetaData(api_key=self.api_key)

def load_data(self, video_ids: List[str]) -> Dict[str, Any]:
self.initialize_loaders() # Make sure loaders are initialized
all_details = {}
for video_id in video_ids:
metadata = self.metadata_loader.load_data([video_id])
try:
transcripts = self.transcript_loader.get_transcript(video_id)
except Exception as e:
transcripts = str(e)
all_details[video_id] = {
"metadata": metadata.get(video_id, {}),
"transcript": transcripts,
}
return all_details

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