Update app.py
Browse files
app.py
CHANGED
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@@ -1,10 +1,9 @@
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import requests
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import os
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import time
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from huggingface_hub import upload_file
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# === CONFIGURATION ===
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HF_TOKEN = os.environ.get("HF_TOKEN")
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REPO_ID = "Fred808/BG1"
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@@ -18,7 +17,6 @@ FETCH_API_URL = f"{BASE_URL}/batch/download-all/{{}}"
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# Video URLs to download from YouTube
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VIDEO_URLS = [
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"https://youtu.be/a-4oCHe-hDE",
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"https://youtu.be/Q30-nakUrSM",
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"https://youtu.be/HSm-cq7zd2s",
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"https://youtu.be/x6oWgtJInCQ",
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@@ -53,79 +51,106 @@ VIDEO_URLS = [
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# Output directory
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OUTPUT_DIR = "batch_downloads"
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if os.path.
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os.
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os.
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# Polling settings
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POLL_DELAY = 5
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MAX_WAIT_MINUTES = 5
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MAX_RETRIES = int((MAX_WAIT_MINUTES * 60) / POLL_DELAY)
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#
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try:
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res = requests.get(
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res.raise_for_status()
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data = res.json()
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if status == "completed":
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print(f"[✓] All {completed}/{total} videos processed successfully.")
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break
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elif status in ["started", "processing", "in_progress"]:
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print(f"[~] Processing... {completed}/{total} done, {failed} failed.")
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elif status == "failed":
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print("[!] Batch failed on server.")
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exit(1)
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else:
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print(f"[~] Unknown status '{status}', retrying...")
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except Exception as e:
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print(f"[!]
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time.sleep(POLL_DELAY)
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else:
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print("[!] Timeout — batch not finished in time.")
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exit(1)
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# === Step 3: Fetch download list ONCE ===
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fetch_url = FETCH_API_URL.format(batch_id)
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print("[*] Fetching download list...")
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try:
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res = requests.get(fetch_url)
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res.raise_for_status()
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data = res.json()
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downloads = data.get("downloads", [])
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if not downloads:
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print("[!] No downloads available. Exiting.")
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exit(1)
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print(f"[+] Found {len(downloads)} videos to download.")
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except Exception as e:
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print(f"[!] Failed to fetch download links: {e}")
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exit(1)
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# === Step 4: Download & Upload ===
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def upload_to_dataset(filepath):
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try:
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upload_file(
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@@ -139,30 +164,59 @@ def upload_to_dataset(filepath):
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except Exception as e:
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print(f"[!] Upload failed: {filepath} — {e}")
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with requests.get(url, stream=True) as r:
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r.raise_for_status()
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with open(local_path, "wb") as f:
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for chunk in r.iter_content(chunk_size=8192):
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f.write(chunk)
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print(f"[✓] Downloaded: {filename}")
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upload_to_dataset(local_path)
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os.remove(local_path)
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import requests
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import os
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import time
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import json
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from huggingface_hub import upload_file
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# === CONFIGURATION ===
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HF_TOKEN = os.environ.get("HF_TOKEN")
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REPO_ID = "Fred808/BG1"
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# Video URLs to download from YouTube
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VIDEO_URLS = [
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"https://youtu.be/Q30-nakUrSM",
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"https://youtu.be/HSm-cq7zd2s",
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"https://youtu.be/x6oWgtJInCQ",
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# Output directory
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OUTPUT_DIR = "batch_downloads"
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if os.path.isdir(OUTPUT_DIR):
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for filename in os.listdir(OUTPUT_DIR):
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file_path = os.path.join(OUTPUT_DIR, filename)
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if os.path.isfile(file_path):
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os.remove(file_path)
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else:
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os.makedirs(OUTPUT_DIR, exist_ok=True)
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# Polling settings
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POLL_DELAY = 5
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MAX_WAIT_MINUTES = 5
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MAX_RETRIES = int((MAX_WAIT_MINUTES * 60) / POLL_DELAY)
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# Path to the file that stores processed URLs
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PROCESSED_URLS_FILE = "processed_urls.json"
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# Load the list of processed URLs from a file
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def load_processed_urls():
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if os.path.exists(PROCESSED_URLS_FILE):
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with open(PROCESSED_URLS_FILE, "r") as f:
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return set(json.load(f))
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else:
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return set()
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# Save the list of processed URLs to a file
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def save_processed_urls(processed_urls):
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with open(PROCESSED_URLS_FILE, "w") as f:
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json.dump(list(processed_urls), f)
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# Function to split URLs into batches of 20
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def chunk_urls(urls, batch_size=20):
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for i in range(0, len(urls), batch_size):
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yield urls[i:i + batch_size]
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# === Step 1: Submit batch, process each batch ===
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def process_batch(urls):
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print(f"[*] Submitting {len(urls)} URLs to batch API...")
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try:
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res = requests.post(INIT_API_URL, json={"urls": urls})
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res.raise_for_status()
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batch_id = res.json().get("batch_id")
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if not batch_id:
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raise Exception("No batch_id returned.")
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print(f"[+] Batch submitted. ID: {batch_id}")
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return batch_id
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except Exception as e:
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print(f"[!] Submission error: {e}")
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return None
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def check_status(batch_id):
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status_url = STATUS_API_URL.format(batch_id)
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print("[*] Waiting for batch to complete...")
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for attempt in range(MAX_RETRIES):
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try:
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res = requests.get(status_url)
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res.raise_for_status()
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data = res.json()
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status = data.get("status")
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total = data.get("total_urls", "?")
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completed = data.get("completed", 0)
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failed = data.get("failed", 0)
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if status == "completed":
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print(f"[✓] All {completed}/{total} videos processed successfully.")
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return True
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elif status in ["started", "processing", "in_progress"]:
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print(f"[~] Processing... {completed}/{total} done, {failed} failed.")
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elif status == "failed":
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print("[!] Batch failed on server.")
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return False
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else:
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print(f"[~] Unknown status '{status}', retrying...")
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except Exception as e:
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print(f"[!] Error checking status: {e}")
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time.sleep(POLL_DELAY)
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else:
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print("[!] Timeout — batch not finished in time.")
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return False
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def fetch_downloads(batch_id):
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fetch_url = FETCH_API_URL.format(batch_id)
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print("[*] Fetching download list...")
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try:
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res = requests.get(fetch_url)
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res.raise_for_status()
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data = res.json()
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downloads = data.get("downloads", [])
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if not downloads:
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print("[!] No downloads available. Exiting.")
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return []
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print(f"[+] Found {len(downloads)} videos to download.")
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return downloads
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except Exception as e:
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print(f"[!] Failed to fetch download links: {e}")
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return []
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def upload_to_dataset(filepath):
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try:
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upload_file(
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except Exception as e:
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print(f"[!] Upload failed: {filepath} — {e}")
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# Main function to download and upload videos
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def main():
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processed_urls = load_processed_urls() # Load previously processed URLs
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# Process each batch
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for url_batch in chunk_urls(VIDEO_URLS, batch_size=20):
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# Filter out already processed URLs
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urls_to_process = [url for url in url_batch if url not in processed_urls]
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if not urls_to_process:
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print("[*] All URLs in this batch have already been processed. Skipping...")
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continue
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batch_id = process_batch(urls_to_process)
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if not batch_id:
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break
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# Wait for the batch to be processed
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if not check_status(batch_id):
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continue
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# Fetch the download list for the batch
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downloads = fetch_downloads(batch_id)
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for video in downloads:
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filename = video.get("filename")
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url = video.get("url")
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if not filename or not url:
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print("[!] Skipping invalid entry.")
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continue
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# Prepend base domain if needed
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if url.startswith("/"):
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url = BASE_URL + url
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local_path = os.path.join(OUTPUT_DIR, filename)
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try:
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print(f"[*] Downloading {filename}...")
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with requests.get(url, stream=True) as r:
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r.raise_for_status()
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with open(local_path, "wb") as f:
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for chunk in r.iter_content(chunk_size=8192):
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f.write(chunk)
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print(f"[✓] Downloaded: {filename}")
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# Upload to dataset
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upload_to_dataset(local_path)
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# Remove the file after upload
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os.remove(local_path)
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# Mark this URL as processed
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processed_urls.add(url)
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except Exception as e:
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print(f"[!]
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