....

packages.txt

@@ -2,4 +2,4 @@ build-essential
 libasound-dev
 portaudio19-dev
 python3-pyaudio
-graphviz
+# graphviz

requirements.txt

@@ -1,5 +1,5 @@
 streamlit==1.26.0
-pandas
+pandas==2.2.1
 matplotlib==3.8.2
 ipython==8.21.0
 numpy==1.23.5
@@ -16,7 +16,7 @@ wordcloud==1.9.3
 networkx==2.7.0
 transformers==4.37.2
 sentencepiece==0.1.99
-openai-whisper==20231117
+openai-whisper # ==20231117
 # tiktoken
 torch==2.2.0
 speechrecognition==3.10.1
@@ -32,5 +32,5 @@ https://files.pythonhosted.org/packages/cc/58/96aff0e5cb8b59c06232ea7e249ed902d0
 streamlit-option-menu==0.3.12
 deep-translator==1.11.4
 requests==2.27.0
-asyncio
-aiohttp
+# asyncio==3.4.3
+# aiohttp==3.9.3

tabs/modelisation_seq2seq_tab.py

@@ -24,8 +24,8 @@ from gtts import gTTS
 from extra_streamlit_components import tab_bar, TabBarItemData
 from translate_app import tr
 import requests
-import asyncio
-import aiohttp
+# import asyncio
+# import aiohttp
 from multiprocessing import Pool
 import concurrent.futures
 import time
@@ -391,7 +391,7 @@ def run():
         if not detection:
             l_src = st.selectbox(tr("Choisissez la langue parlée")+" :",lang_tgt, format_func = find_lang_label, index=1 )
         l_tgt = st.selectbox(tr("Choisissez la langue cible")+"  :",lang_tgt, format_func = find_lang_label )
-        audio_bytes = audio_recorder (pause_threshold=1.0,  sample_rate=16000, text=tr("Cliquez pour parler, puis attendre 2sec."), \
+        audio_bytes = audio_recorder (pause_threshold=1.0,  sample_rate=16000, text=tr("Cliquez, puis attendre 2sec. avant de parler"), \
                                       recording_color="#e8b62c", neutral_color="#1ec3bc", icon_size="6x",)
     
         if audio_bytes: