import gradio as gr import os, requests, json, subprocess import boto3 from groq import Groq import google.generativeai as genai # SECRETS HF - Settings > Variables and Secrets GROQ_KEY = os.getenv("GROQ_API_KEY") GEMINI_KEY = os.getenv("GEMINI_API_KEY") R2_ACCESS = os.getenv("R2_ACCESS") R2_SECRET = os.getenv("R2_SECRET") R2_BUCKET = os.getenv("R2_BUCKET") R2_BUCKET_URL = os.getenv("R2_BUCKET_URL") # https://xxx.r2.cloudflarestorage.com R2_PUBLIC = os.getenv("R2_PUBLIC_URL") # https://pub-xxx.r2.dev LWS_WEBHOOK = "https://opus.dostodgroup.com/webhook.php?token=change_moi_12345_opus" genai.configure(api_key=GEMINI_KEY) groq_client = Groq(api_key=GROQ_KEY) def upload_r2(local_path, remote_name): s3 = boto3.client('s3', endpoint_url=R2_BUCKET_URL, aws_access_key_id=R2_ACCESS, aws_secret_access_key=R2_SECRET ) s3.upload_file(local_path, R2_BUCKET, remote_name) return f"{R2_PUBLIC}/{remote_name}" def factory(job_id, video_url): try: tmp_in = f"/tmp/{job_id}.mp4" gr.Info(f"Download {video_url}...") with requests.get(video_url, stream=True, timeout=120) as r: r.raise_for_status() with open(tmp_in, 'wb') as f: for chunk in r.iter_content(chunk_size=1024*1024): if chunk: f.write(chunk) gr.Info("Transcription Whisper...") from faster_whisper import WhisperModel model = WhisperModel("small", device="cpu", compute_type="int8") segments, _ = model.transcribe(tmp_in, language="fr") full_text = " ".join([s.text for s in segments])[:8000] if not full_text.strip(): return "❌ Transcription vide" gr.Info("Analyse virale Groq...") prompt = f"""Tu es Opus.pro. Trouve 10 clips viraux 30-60s max score viral. Format JSON STRICT sans texte autour, juste le tableau: [{{"start":12.5,"end":45.2,"title":"Hook choc","score":92}}] Transcription: {full_text}""" comp = groq_client.chat.completions.create( model="llama-3.3-70b-versatile", messages=[{"role":"user","content":prompt}], temperature=0.7 ) txt = comp.choices[0].message.content.replace("```json","").replace("```","").strip() clips = json.loads(txt) final_for_lws = [] gr.Info(f"{len(clips)} clips detectes, rendu 1080p...") for i, c in enumerate(clips[:10]): out = f"/tmp/{job_id}_clip{i+1}_1080p.mp4" cmd = [ "ffmpeg","-ss",str(c['start']),"-to",str(c['end']),"-i",tmp_in, "-vf","crop=1080:1920:(in_w-1080)/2:0,scale=1080:1920:flags=lanczos", "-c:v","libx264","-crf","18","-preset","ultrafast","-c:a","aac","-b:a","128k","-y",out ] subprocess.run(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) if os.path.exists(out) and os.path.getsize(out) > 10000: remote = f"finales/{job_id}_clip{i+1}_1080p.mp4" r2_url = upload_r2(out, remote) final_for_lws.append({ "url": r2_url, "title": c.get('title',''), "score": c.get('score',0) }) # Envoie à LWS gr.Info(f"Envoi {len(final_for_lws)} clips vers LWS...") requests.post(LWS_WEBHOOK, json={"job_id": job_id, "clips": final_for_lws}, timeout=60) return f"✅ {len(final_for_lws)} clips 1080p envoyés sur opus.dostodgroup.com/videos/finales/\n\n" + "\n".join([f"{x['score']} - {x['title']} -> {x['url']}" for x in final_for_lws]) except Exception as e: import traceback return f"❌ Erreur: {str(e)}\n{traceback.format_exc()}" with gr.Blocks(title="OPUS 1080p Factory") as demo: gr.Markdown("# 🏭 OPUS 1080p - Usine Gratuite ZeroGPU\nR2 -> 10 clips viraux 1080p -> LWS opus.dostodgroup.com") job_id = gr.Textbox(label="job_id (ex: job_123)", value="job_test_1") video_url = gr.Textbox(label="URL video longue R2 (https://pub-.../video.mp4)", placeholder="https://pub-xxx.r2.dev/uploads/...") btn = gr.Button("🚀 RENDRE 10 CLIPS 1080p", variant="primary") output = gr.Textbox(label="Logs", lines=15) btn.click(factory, [job_id, video_url], output) demo.launch()