gpt version

app.py

@@ -161,7 +161,7 @@ def load_audio(uploaded_audio):
 
 
 if "openai_model" not in st.session_state:
-    st.session_state["openai_model"] = "gpt-3.5-turbo-16k"
+    st.session_state["openai_model"] = "gpt-4o-mini"
 
 if "prompt_request_counter" not in st.session_state:
     st.session_state["prompt_request_counter"] = 0
@@ -311,6 +311,7 @@ if "audio" in locals():
             st.write(f'Loading {st.session_state.rttm}')
             diarization = load_rttm_file(st.session_state.rttm )
         else:
+            # make progress hook
             # with ProgressHook() as hook:
             # diarization = pipeline(audio_, hook=hook)
             diarization = pipeline(create_audio_stream(audio))
@@ -448,7 +449,7 @@ if "audio" in locals():
         
         
         # LLM Chat
-        with st.expander('Summary of the Transcribed Audio File Generated by ChatGPT', expanded = True):
+        with st.expander('Summary of the Transcribed Audio File Generated by [`gpt-40-mini`](https://platform.openai.com/docs/models/gpt-4o-mini)', expanded = True):
             # display the AI generated summary.
             with st.chat_message("assistant", avatar='https://upload.wikimedia.org/wikipedia/commons/0/04/ChatGPT_logo.svg'):
                 st.write(init)
@@ -508,7 +509,7 @@ if "audio" in locals():
         # encode transcript string
         transcript_json_download = convert_df(json.dumps(transcript_json))
         # transcript download buttons
-        c1_b,c2_b = st.columns((1,2))
+        c1_b,c2_b = st.columns((1,1))
 
         # json button
         with c1_b: