audio caching bug

app.py

@@ -69,7 +69,6 @@ def youtube_video_id(value):
 
 @st.cache_data
 def process_youtube_link(youtube_link):
-    st.write(f"Fetching audio from YouTube: {youtube_link}")
     try:
         yt = YouTube(youtube_link)
         audio_stream = yt.streams.filter(only_audio=True).first()
@@ -92,7 +91,7 @@ def process_youtube_link(youtube_link):
 def load_rttm_file(rttm_path):
     return load_rttm(rttm_path)['stream']
 
-@st.cache_resource
+
 def load_audio(uploaded_audio):
     return AudioSegment.from_file(uploaded_audio)
 
@@ -158,7 +157,7 @@ with st.sidebar:
 container_transcript_chat = st.container()
 
 # Source Selection
-option = st.radio("Select source:", ["Upload an audio file", "Use YouTube link","Example"], index=2)
+option = st.radio("Select source:", [ "Use YouTube link","Example"], index=1)
 
 # Upload audio file
 if option == "Upload an audio file":
@@ -182,16 +181,20 @@ if option == "Upload an audio file":
 # use youtube link
 elif option == "Use YouTube link":        
 
-    with st.form('youtube-link', clear_on_submit=True):
+    with st.form('youtube-link'):
         youtube_link_raw = st.text_input("Enter the YouTube video URL:")
         youtube_link = f'https://youtu.be/{youtube_video_id(youtube_link_raw)}'
         
         if st.form_submit_button(): # reset variables on new link submit
+            process_youtube_link.clear()
             st.session_state.messages = initial_prompt
             st.session_state.rttm = None
             st.session_state.transcript_file = None
             st.session_state.prompt_request_counter = 0
 
+            with container_transcript_chat:
+                st.empty()
+
     # with st.expander('Optional Parameters'):
     #     st.session_state.rttm = st.file_uploader("Upload .rttm if you already have one", type=["rttm"])
     #     st.session_state.transcript_file = st.file_uploader("Upload transcipt json", type=["json"])  
@@ -358,20 +361,20 @@ if "audio" in locals():
     transcript_string = '\n'.join([f"{s['speaker']} start={s['start']:.1f}s end={s['end']:.1f}s : {s['transcript']}" for s in transcript_json])
     
     @st.cache_data
-    def get_initial_response(transcript):
-        st.session_state.messages[1]['content'] = st.session_state.messages[1]['content'].format(transcript)
+    def get_initial_response(messages):
         initial_response = openai.ChatCompletion.create(
                             model=st.session_state["openai_model"],
-                            messages=st.session_state.messages
+                            messages=messages
                         )
         return initial_response['choices'][0]['message']['content']
     
     # Chat container
     with container_transcript_chat:
         # get a summary of transcript from ChatGpt
-        init = get_initial_response(transcript_string)
-        # pass transcript to initial prompt
         st.session_state.messages[1]['content'] = st.session_state.messages[1]['content'].format(transcript_string)
+        init = get_initial_response(st.session_state.messages)
+        # pass transcript to initial prompt
+        
         
         # LLM Chat
         with st.expander('Summary of the Transcribed Audio File Generated by ChatGPT', expanded = True):