YOUTUBE-CHANNEL-AUTOMATED-AGENT

import os import requests import openai from google.oauth2.credentials import Credentials from google_auth_oauthlib.flow import InstalledAppFlow from googleapiclient.discovery import build from datetime import datetime

--- CONFIGURATION ---

Set these as environment variables or directly in code

GITHUB_TOKEN = os.getenv('GITHUB_TOKEN') # Personal GitHub token OPENAI_API_KEY = os.getenv('OPENAI_API_KEY') # OpenAI API Key CLIENT_SECRETS_FILE = "credentials.json" # OAuth2 credentials from Google Cloud Console

YouTube API Scopes

SCOPES = ["https://www.googleapis.com/auth/youtube.upload"]

--- 1. Fetch GitHub Repo Activity or Content ---

def fetch_github_readme(owner, repo): url = f"https://api.github.com/repos/{owner}/{repo}/readme" headers = {"Authorization": f"token {GITHUB_TOKEN}", "Accept": "application/vnd.github.v3.raw"} resp = requests.get(url, headers=headers) if resp.status_code == 200: return resp.text else: print("Failed to fetch README:", resp.text) return ""

--- 2. Generate Video Script with OpenAI ---

def generate_script_from_text(text, prompt="Create a YouTube video script based on this repo:"): openai.api_key = OPENAI_API_KEY response = openai.Completion.create( engine="gpt-3.5-turbo-instruct", prompt=f"{prompt}\n\n{text}", max_tokens=500, temperature=0.7, ) return response["choices"][0]["text"].strip()

--- 3. (Optional) Create Video with VEED.IO or similar API ---

You can integrate with VEED.IO API if available, or skip to upload manual videos.

--- 4. Authenticate and Upload Video to YouTube ---

def youtube_authenticate(): flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRETS_FILE, SCOPES) creds = flow.run_local_server(port=0) return build("youtube", "v3", credentials=creds)

def upload_video(youtube, video_file, title, description, tags=None, categoryId="22", privacyStatus="unlisted"): request_body = { "snippet": { "title": title, "description": description, "tags": tags or [], "categoryId": categoryId, }, "status": { "privacyStatus": privacyStatus } } mediaFile = MediaFileUpload(video_file, mimetype="video/*", resumable=True) request = youtube.videos().insert( part="snippet,status", body=request_body, media_body=mediaFile ) response = request.execute() print("Video uploaded! Video ID:", response["id"]) return response["id"]

--- 5. Fetch YouTube Video Analytics ---

def fetch_video_stats(youtube, video_id): response = youtube.videos().list( part="statistics", id=video_id ).execute() stats = response["items"][0]["statistics"] print("Video Stats:", stats) return stats

--- MAIN AGENT FLOW ---

def main(): owner = "OJKotkaLKP" repo = "YOUTUBE-CHANNEL-AUTOMATED-AGENT"

# 1. Fetch repo README/content
readme_text = fetch_github_readme(owner, repo)

# 2. Generate video script (AI)
video_script = generate_script_from_text(readme_text)
print("Generated Video Script:\n", video_script)

# 3. (Optional) Use VEED.IO API to create video from script

# 4. Upload video to YouTube
youtube = youtube_authenticate()
video_file = "path/to/your/generated_or_manual_video.mp4"  # Replace with your video path
video_id = upload_video(
    youtube,
    video_file=video_file,
    title="Automated Video for GitHub Repo",
    description=video_script,
    tags=["GitHub", "YouTube", "Automation"],
)

# 5. Fetch analytics
fetch_video_stats(youtube, video_id)

if name == "main": main()