Update app.py

app.py

@@ -2,14 +2,24 @@ import streamlit as st
 from audiorecorder import audiorecorder
 import openai
 import os
+import tempfile
 
 # Nastavení OpenAI klíče
 openai.api_key = os.environ['OPENAI_API_KEY']
 
-def transcribe(audio_path):
-    audio_file = open(audio_path, "rb")
-    transcript = openai.Audio.translate_raw("whisper-1", audio_file, filename='1.mp3')
-    return transcript["text"]
+def transcribe(audio_bytes):
+    # Vytvoření dočasného souboru pro uložení audio dat
+    with tempfile.NamedTemporaryFile(suffix='.mp3', delete=False) as temp_audio_file:
+        temp_audio_file.write(audio_bytes)
+        temp_audio_file_path = temp_audio_file.name
+
+    # Otevření dočasného souboru a jeho předání modelu Whisper
+    with open(temp_audio_file_path, "rb") as audio_file:
+        transcript = openai.Audio.transcribe(
+            file=audio_file,
+            model="whisper-1"
+        )
+        return transcript["choices"][0]["text"]
 
 # Inicializace session state
 if 'vignette' not in st.session_state:
@@ -19,7 +29,7 @@ if 'length' not in st.session_state:
     st.session_state['length'] = 0
 
 # Hlavní titulek aplikace
-st.title("AI loop for healthcare providers")
+st.title("AI Transcription for Healthcare Providers")
 st.markdown("Record your patient presentation and get the transcription.")
 st.divider()
 
@@ -33,4 +43,4 @@ if len(audio) != st.session_state['length']:
     st.session_state['vignette'] += transcript
 
 # Zobrazení transkripce
-st.session_state['vignette'] = st.text_area("Vignette", value=st.session_state['vignette'])
+st.session_state['vignette'] = st.text_area("Transcription", value=st.session_state['vignette'])