Update app.py

app.py

@@ -2,15 +2,18 @@ import streamlit as st
 from audiorecorder import audiorecorder
 import openai
 import os
+import wave
+import tempfile
 
 # Nastavení klíče API pro OpenAI
 openai.api_key = os.environ['OPENAI_API_KEY']
 
-def transcribe(audio_data):
+def transcribe(audio_path):
     """
-    Transkribuje audio data pomocí Whisper API.
+    Transkribuje audio soubor pomocí Whisper API.
     """
-    response = openai.Audio.transcribe("whisper-1", audio_data, filename='1.mp3')
+    with open(audio_path, "rb") as audio_file:
+        response = openai.Audio.transcribe("whisper-1", audio_file, filename=audio_path)
     return response["text"]
 
 # Streamlit aplikace
@@ -22,6 +25,16 @@ audio_data = audiorecorder("Record", "Stop")
 
 # Zpracování a zobrazení transkripce
 if audio_data is not None and len(audio_data) > 0:
-    with st.spinner('Probíhá transkripce...'):
-        transcript = transcribe(audio_data.tobytes())
-        st.text_area("Transkript", value=transcript, height=300)
+    # Uložení audio dat do dočasného WAV souboru
+    with tempfile.NamedTemporaryFile(delete=False, suffix='.wav') as tmp_file:
+        audio_path = tmp_file.name
+        with wave.open(audio_path, 'wb') as wav_file:
+            wav_file.setnchannels(1)
+            wav_file.setsampwidth(2)
+            wav_file.setframerate(44100)
+            wav_file.writeframes(audio_data.tobytes())
+
+        # Transkripce audia
+        with st.spinner('Probíhá transkripci...'):
+            transcript = transcribe(audio_path)
+            st.text_area("Transkript", value=transcript, height=300)