Update app.py

app.py

@@ -112,15 +112,7 @@ def get_table_download_link(file_path):
     return href
 
 
-# Audio, transcribe, GPT:
-filename = save_and_play_audio(audio_recorder)
-if filename is not None:
-    transcription = transcribe_audio(openai.api_key, filename, "whisper-1")
-    st.write(transcription)
-    gptOutput = chat_with_model(transcription, '') # push transcript through as prompt
-    filename = generate_filename(transcription, choice)
-    create_file(filename, transcription, gptOutput)
-    st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
+
 
 def CompressXML(xml_text):
     root = ET.fromstring(xml_text)
@@ -157,6 +149,15 @@ def main():
     if api_key:
         openai.api_key = api_key
         from audio_recorder_streamlit import audio_recorder
+        # Audio, transcribe, GPT:
+        filename = save_and_play_audio(audio_recorder)
+        if filename is not None:
+            transcription = transcribe_audio(openai.api_key, filename, "whisper-1")
+            st.write(transcription)
+            gptOutput = chat_with_model(transcription, '') # push transcript through as prompt
+            filename = generate_filename(transcription, choice)
+            create_file(filename, transcription, gptOutput)
+            st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
         
         uploaded_file = st.sidebar.file_uploader("Add a file for context:", type=["xml", "json", "xlsx","csv","html", "htm", "md", "txt"])
         max_length = st.sidebar.slider("File section length for large files", min_value=1000, max_value=128000, value=12000, step=1000)