davidanthony-ai commited on
Commit
d268c47
·
1 Parent(s): bd326e8

test aac 2

Browse files
components/fonctions_transcription.py CHANGED
@@ -159,6 +159,7 @@ def transcript(dict_user,username,user_group, audio_file,maintenant,Year_Month,q
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  # Calcul consommation utilisateur
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  figure , consommation = graphique_utilisation(dict_user, username, Year_Month)
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  if audio_file is not None:
 
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  # Créer un fichier temporaire
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  with tempfile.NamedTemporaryFile(delete=False) as temp_file:
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  temp_filename = temp_file.name
 
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  # Calcul consommation utilisateur
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  figure , consommation = graphique_utilisation(dict_user, username, Year_Month)
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  if audio_file is not None:
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+ audio_file = convert_audio_to_mp3(audio_file)
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  # Créer un fichier temporaire
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  with tempfile.NamedTemporaryFile(delete=False) as temp_file:
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  temp_filename = temp_file.name
pages/Transcription.py CHANGED
@@ -69,11 +69,10 @@ if st.session_state["authenticated"]:
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  #Charger l'audio avec streamlit
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  # Chargement du modèle
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- model = whisper.load_model("large")
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  st.text("Chargement du modèle terminé")
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  audio_file = st.file_uploader("Charger l'audio", type=["wav", "mp3", "m4a","aac"])
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- audio_file = TRS.convert_audio_to_mp3(audio_file)
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  #audio_file = st.file_uploader("Charger l'audio", accept='audio/*')
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  #audio_name = audio_file.name
 
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  #Charger l'audio avec streamlit
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  # Chargement du modèle
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+ model = whisper.load_model("small")
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  st.text("Chargement du modèle terminé")
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  audio_file = st.file_uploader("Charger l'audio", type=["wav", "mp3", "m4a","aac"])
 
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  #audio_file = st.file_uploader("Charger l'audio", accept='audio/*')
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  #audio_name = audio_file.name
secrets.toml ADDED
@@ -0,0 +1 @@
 
 
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+ data_key = "a05kh2kfzhv_YakBrwZzEeXp14ENVR9TB71KMq6KvMjZ"