Update app.py

app.py

@@ -16,13 +16,6 @@ from bs4 import BeautifulSoup
 from collections import deque
 from audio_recorder_streamlit import audio_recorder
 
-openai.api_key = os.getenv('OPENAI_KEY')
-st.set_page_config(page_title="GPT Streamlit Document Reasoner",layout="wide")
-
-menu = ["htm", "txt", "xlsx", "csv", "md", "py"]  #619
-choice = st.sidebar.selectbox("Output File Type:", menu)
-model_choice = st.sidebar.radio("Select Model:", ('gpt-3.5-turbo', 'gpt-3.5-turbo-0301'))
-
 def generate_filename(prompt, file_type):
     central = pytz.timezone('US/Central')
     safe_date_time = datetime.now(central).strftime("%m%d_%I%M")  
@@ -49,7 +42,8 @@ def transcribe_audio(openai_key, file_path, model):
         response = requests.post(OPENAI_API_URL, headers=headers, files=data, data={'model': model})
     if response.status_code == 200:
         st.write(response.json())
-        response2 = chat_with_model(response.json().get('text'), '')
+        
+        response2 = chat_with_model(response.json().get('text'), '') # *************************************
         st.write('Responses:')
         #st.write(response)
         st.write(response2)
@@ -108,17 +102,6 @@ def get_table_download_link(file_path):
 
     
 
-# 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)
-
-
 
 
 
@@ -150,6 +133,27 @@ def read_file_content(file,max_length):
     else:
         return ""
 
+
+# Sidebar and global
+openai.api_key = os.getenv('OPENAI_KEY')
+st.set_page_config(page_title="GPT Streamlit Document Reasoner",layout="wide")
+menu = ["htm", "txt", "xlsx", "csv", "md", "py"]  #619
+choice = st.sidebar.selectbox("Output File Type:", menu)
+model_choice = st.sidebar.radio("Select Model:", ('gpt-3.5-turbo', 'gpt-3.5-turbo-0301'))
+
+       
+
+# 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, '') # *************************************
+    filename = generate_filename(transcription, choice)
+    create_file(filename, transcription, gptOutput)
+    st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
+
+
 def main():
     user_prompt = st.text_area("Enter prompts, instructions & questions:", '', height=100)
 
@@ -181,7 +185,8 @@ def main():
             else:
                 if st.button(f"Chat about Section {i+1}"):
                     st.write('Reasoning with your inputs...')
-                    response = chat_with_model(user_prompt, section)
+                    response = 
+                    (user_prompt, section) # *************************************
                     st.write('Response:')
                     st.write(response)
                     document_responses[i] = response
@@ -191,7 +196,8 @@ def main():
 
     if st.button('💬 Chat'):
         st.write('Reasoning with your inputs...')
-        response = chat_with_model(user_prompt, ''.join(list(document_sections)))
+        response = 
+        (user_prompt, ''.join(list(document_sections))) # *************************************
         st.write('Response:')
         st.write(response)