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Running
on
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repo id...
Browse files- .DS_Store +0 -0
- run_job.py +42 -47
.DS_Store
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Binary files a/.DS_Store and b/.DS_Store differ
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run_job.py
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@@ -3,29 +3,34 @@ from app import generate_podcast_script, kmodel, kpipeline, MALE_VOICE, FEMALE_V
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import soundfile as sf
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import numpy as np
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import argparse
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from huggingface_hub import HfApi
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import requests
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import json
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from datetime import datetime
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import os
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def submit_job(
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repo_id: str,
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inference_provider: str,
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hf_token: str
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):
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# Configuration variables
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username = HfApi(token=hf_token).whoami()["name"]
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space_id = "fdaudens/podcast-jobs" # Your
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# If you want to always use the username-based repo_id, remove repo_id from parameters
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repo_id = f"{username}/podcast-jobs"
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flavor = "cpu-basic" # Machine type
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# Create the API request
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@@ -39,8 +44,7 @@ def submit_job(
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"spaceId": space_id,
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"command": ["python", "run_job.py"],
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"arguments": [
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"--provider", inference_provider
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"--repo-id", repo_id
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],
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"environment": {
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"HF_API_KEY": hf_token
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def main():
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parser = argparse.ArgumentParser(description="Podcast job runner")
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parser.add_argument("--provider", type=str, default="hf-inference")
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parser.add_argument("--
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parser.add_argument("--flavor", type=str, default="t4-medium")
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args = parser.parse_args()
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print(f"Arguments: provider={args.provider},
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# 1. Get the most popular paper's content
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paper_manager = PaperManager()
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@@ -102,39 +106,30 @@ def main():
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# Concatenate all audio segments
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if audio_segments:
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full_audio = np.concatenate(audio_segments)
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sf.write("podcast.wav", full_audio, sr)
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print("
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# --- Upload to Hugging Face repo ---
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hf_token = os.environ.get("HF_TOKEN")
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if hf_token is None:
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print("No Hugging Face token found in environment. Skipping upload.")
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else:
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api = HfApi(token=hf_token)
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username = api.whoami()["name"]
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repo_id = f"{username}/podcast-jobs" # Correct repo id
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# Create the repo if it doesn't exist
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try:
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api.create_repo(repo_id, repo_type="model", private=False, exist_ok=True)
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except Exception as e:
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print(f"Warning: Could not create repo (it may already exist): {e}")
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# Create a folder by date inside the podcasts subfolder
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today = datetime.now().strftime("%Y-%m-%d")
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remote_path = f"podcasts/podcast-{today}.wav" # subfolder in repo
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print(f"Uploading podcast.wav to {repo_id} at {remote_path} ...")
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api.upload_file(
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path_or_fileobj="podcast.wav",
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path_in_repo=remote_path,
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repo_id=repo_id,
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token=hf_token
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)
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print(f"Uploaded podcast.wav to {repo_id}/{remote_path}")
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else:
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print("No audio generated.")
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if __name__ == "__main__":
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main()
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import soundfile as sf
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import numpy as np
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import argparse
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from huggingface_hub import HfApi
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import requests
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import json
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from datetime import datetime
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import os
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# Scan for existing podcasts in the space
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def scan_podcasts():
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podcast_dir = "podcasts"
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if not os.path.exists(podcast_dir):
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os.makedirs(podcast_dir, exist_ok=True)
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return []
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# Get all WAV files in the podcasts directory
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podcasts = sorted([f.replace(".wav", "")
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for f in os.listdir(podcast_dir)
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if f.endswith(".wav")], reverse=True)
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return podcasts
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def submit_job(
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inference_provider: str,
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hf_token: str
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):
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# Configuration variables
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username = HfApi(token=hf_token).whoami()["name"]
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space_id = "fdaudens/podcast-jobs" # Your Space ID
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flavor = "cpu-basic" # Machine type
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# Create the API request
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"spaceId": space_id,
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"command": ["python", "run_job.py"],
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"arguments": [
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"--provider", inference_provider
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],
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"environment": {
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"HF_API_KEY": hf_token
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def main():
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parser = argparse.ArgumentParser(description="Podcast job runner")
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parser.add_argument("--provider", type=str, default="hf-inference")
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parser.add_argument("--name", type=str, default="podcast")
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parser.add_argument("--flavor", type=str, default="t4-medium")
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args = parser.parse_args()
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print(f"Arguments: provider={args.provider}, name={args.name}, flavor={args.flavor}")
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# 1. Get the most popular paper's content
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paper_manager = PaperManager()
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# Concatenate all audio segments
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if audio_segments:
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full_audio = np.concatenate(audio_segments)
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# 4. Save as WAV file in the Space's file system
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# Create podcasts directory if it doesn't exist
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podcast_dir = "podcasts"
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os.makedirs(podcast_dir, exist_ok=True)
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# Generate filename with base name and date
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today = datetime.now().strftime("%Y-%m-%d")
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base_name = args.name
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podcast_filename = f"{base_name}-{today}.wav"
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podcast_path = os.path.join(podcast_dir, podcast_filename)
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# Save the file
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sf.write(podcast_path, full_audio, sr)
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print(f"Podcast audio saved to {podcast_path}")
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# Provide the access URL
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print(f"Access URL: https://huggingface.co/spaces/fdaudens/podcast-jobs/blob/main/{podcast_path}")
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# Also save a temporary local copy for debugging
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sf.write("podcast.wav", full_audio, sr)
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print("Temporary copy saved as podcast.wav")
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else:
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print("No audio generated.")
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if __name__ == "__main__":
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main()
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