Update app.py

app.py

@@ -19,7 +19,7 @@ import streamlit as st
 
 st.set_page_config(page_title="Chat Toolkit",layout="wide")
 
-with st.sidebar.expander("Model Options", expanded=True):
+with st.sidebar.expander("Model Options", expanded=False):
     menu = ["htm", "txt", "xlsx", "csv", "md", "py"]  #619
     choice = st.selectbox("Output File Type:", menu)
     model_choice = st.radio("Select Model:", ('gpt-3.5-turbo', 'gpt-3.5-turbo-0301', 'gpt-4'))
@@ -148,16 +148,7 @@ def main():
     api_key = st.sidebar.text_input("Enter OpenAI API Key:", type='password')
     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)
@@ -206,6 +197,17 @@ def main():
                     os.remove(file)
                     st.experimental_rerun()
 
+        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)            
+
         user_prompt = st.text_area("Enter prompts, instructions & questions:", '', height=100)
         
         if st.button('💬 Chat'):