Update app.py
Browse files
app.py
CHANGED
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@@ -1,6 +1,9 @@
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# -*- coding: utf-8 -*-
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"""
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ROBOTSMALI — Sous-titrage Bambara (VERSION COMPLÈTE V6.
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"""
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import os
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import shlex
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@@ -41,12 +44,12 @@ VIDEO_EXAMPLES = [
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_cache = {}
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# ---------------------------- # FONCTIONS
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def run_cmd(cmd):
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res = subprocess.run(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)
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if res.returncode != 0:
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raise RuntimeError(f"FFmpeg: {res.stdout}")
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return res.stdout
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def load_model(name):
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@@ -71,8 +74,7 @@ def load_model(name):
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return model
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def burn_subtitles(video_path, words, duration):
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out_name = f"resultat_robotsmali.mp4"
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out_path = os.path.abspath(out_name)
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chunk_size = 7
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def pipeline(video_input, model_name):
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try:
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if not video_input:
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wav_path = os.path.abspath("temp_audio.wav")
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run_cmd(f'ffmpeg -hide_banner -loglevel error -y -i {shlex.quote(video_input)} -vn -ac 1 -ar 16000 -f wav {shlex.quote(wav_path)}')
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@@ -112,26 +117,30 @@ def pipeline(video_input, model_name):
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shell=True, stdout=subprocess.PIPE, text=True).stdout
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duration = float(dur_out.strip()) if dur_out.strip() else 10.0
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model = load_model(model_name)
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res = model.transcribe([wav_path])[0]
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text = res.text if hasattr(res, 'text') else str(res)
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words = [w for w in text.split() if len(w) > 1]
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if not words:
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final_v = burn_subtitles(video_input, words, duration)
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if os.path.exists(wav_path): os.remove(wav_path)
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yield "✅
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except Exception as e:
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traceback.print_exc()
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yield f"❌ Erreur: {str(e)}", None
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# ---------------------------- # INTERFACE # ----------------------------
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custom_css = """
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body { background-color: #0b0e14; }
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@@ -150,11 +159,12 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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v_in = gr.Video(label=None, mirror_webcam=False)
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m_sel = gr.Dropdown(list(MODELS.keys()), value="Soloba V1 (CTC)", label="Modèle IA")
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btn = gr.Button("🚀 GÉNÉRER", variant="primary")
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with gr.Column():
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gr.Markdown("### 📤 Résultat")
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v_out = gr.Video(label="Vidéo finale
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gr.Examples(examples=VIDEO_EXAMPLES, inputs=[v_in, m_sel], cache_examples=False)
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# -*- coding: utf-8 -*-
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"""
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ROBOTSMALI — Sous-titrage Bambara (VERSION COMPLÈTE V6.6)
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- Interface à deux colonnes (Entrée / Résultat unique)
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- Conservation du Statut détaillé (Phases de traitement)
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- Tous les modèles RobotsMali inclus
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"""
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import os
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import shlex
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_cache = {}
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# ---------------------------- # FONCTIONS TECHNIQUES # ----------------------------
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def run_cmd(cmd):
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res = subprocess.run(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)
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if res.returncode != 0:
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raise RuntimeError(f"FFmpeg Error: {res.stdout}")
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return res.stdout
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def load_model(name):
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return model
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def burn_subtitles(video_path, words, duration):
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out_name = f"robotsmali_output_{int(time.time())}.mp4"
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out_path = os.path.abspath(out_name)
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chunk_size = 7
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def pipeline(video_input, model_name):
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try:
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if not video_input:
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yield "❌ Erreur : Aucune vidéo chargée.", None
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return
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# Phase 1 : Audio
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yield "⏳ Phase 1/3 : Analyse et extraction de l'audio...", None
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wav_path = os.path.abspath("temp_audio.wav")
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run_cmd(f'ffmpeg -hide_banner -loglevel error -y -i {shlex.quote(video_input)} -vn -ac 1 -ar 16000 -f wav {shlex.quote(wav_path)}')
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shell=True, stdout=subprocess.PIPE, text=True).stdout
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duration = float(dur_out.strip()) if dur_out.strip() else 10.0
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# Phase 2 : Transcription
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yield f"⏳ Phase 2/3 : Transcription IA ({model_name})...", None
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model = load_model(model_name)
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res = model.transcribe([wav_path])[0]
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text = res.text if hasattr(res, 'text') else str(res)
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words = [w for w in text.split() if len(w) > 1]
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if not words:
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yield "⚠️ Phase 2 : Aucune parole détectée dans l'audio.", None
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return
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# Phase 3 : Encodage
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yield "⏳ Phase 3/3 : Génération de la vidéo sous-titrée...", None
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final_v = burn_subtitles(video_input, words, duration)
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if os.path.exists(wav_path): os.remove(wav_path)
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yield "✅ Traitement terminé avec succès !", final_v
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except Exception as e:
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traceback.print_exc()
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yield f"❌ Erreur critique : {str(e)}", None
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# ---------------------------- # INTERFACE GRADIO # ----------------------------
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custom_css = """
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body { background-color: #0b0e14; }
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v_in = gr.Video(label=None, mirror_webcam=False)
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m_sel = gr.Dropdown(list(MODELS.keys()), value="Soloba V1 (CTC)", label="Modèle IA")
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btn = gr.Button("🚀 GÉNÉRER", variant="primary")
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with gr.Column():
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gr.Markdown("### 📤 Résultat")
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# Le Statut est conservé ici pour informer sur l'état des fichiers audio/vidéo
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status = gr.Markdown("### État\n*En attente de démarrage...*")
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v_out = gr.Video(label="Vidéo finale")
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gr.Examples(examples=VIDEO_EXAMPLES, inputs=[v_in, m_sel], cache_examples=False)
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