ok

app.py

@@ -1,4 +1,5 @@
 import streamlit as st
+from streamlit_audio_recorder import st_audio_recorder
 from faster_whisper import WhisperModel
 from pyannote.audio import Pipeline
 import pyannote.core
@@ -61,6 +62,13 @@ def main():
         <div class='bywall'>
             by Wallner Group
         """, unsafe_allow_html=True)
+    
+    audio_data = st_audio_recorder(recording_seconds=300, stt_language="es-ES", key="audio")
+
+    if audio_data is not None:
+        # Guardar el archivo de audio grabado
+        with open("audio_temp.wav", "wb") as f:
+            f.write(audio_data.getbuffer())
 
     # Opción para cargar archivo de audio
     audio_file = st.file_uploader("Cargar archivo de audio", type=['wav'])

requirements.txt

@@ -1,3 +1,4 @@
 faster_whisper
 pyannote.audio
-pyannote.core
+pyannote.core
+streamlit_audio_recorder