Update app.py

app.py

@@ -10,8 +10,19 @@ tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
 import whisper
 
 import os
-import dropbox
 import datetime
+# import dropbox
+# from notion_client import Client
+import notion_df
+
+
+# # Define your API key
+
+# my_API_KEY = os.environ["NOTION"]
+# notion = Client(auth=my_API_KEY)
+# # find the page you want to upload the file to
+# page = notion.pages.retrieve(page_id="37660063895a4525b5cd8feffd43f5d5")
+
 
 
 ACCESS_TOKEN = os.environ["ACCESS_TOKEN"]
@@ -85,7 +96,14 @@ def transcribe(audio, text):
     
         # Add the input text to the messages list
         messages.append({"role": "user", "content": input_text})
-    
+
+    # Get the current date and time in the local timezone
+    now_local = datetime.datetime.now()
+    # Create a timezone object for Eastern Time (ET)
+    et_tz = datetime.timezone(datetime.timedelta(hours=-5))
+    # Adjust the date and time to Eastern Time (ET)
+    now_et = now_local.astimezone(et_tz)
+        
     # Check if the accumulated tokens have exceeded 2096
     num_tokens = num_tokens_from_messages(messages)
     if num_tokens > 2096:
@@ -98,9 +116,19 @@ def transcribe(audio, text):
             
         chat_transcript_copy = chat_transcript
         chat_transcript_copy += f"Number of tokens used: {num_tokens}\n\n"
-        filename = datetime.datetime.now().strftime("%Y%m%d%H%M_personal_history.txt")
-        dbx.files_upload(chat_transcript_copy.encode('utf-8'), f'/{filename}', mode=dropbox.files.WriteMode.overwrite, autorename=False, client_modified=None, mute=False)
-        dbx.files_upload(chat_transcript_copy.encode('utf-8'), '/personal_note_backup.txt', mode=dropbox.files.WriteMode.overwrite, autorename=False, client_modified=None, mute=False)
+        
+        # Get the current UTC time
+        utc_time = datetime.now(timezone.utc)
+        # Convert to Eastern Time Zone
+        eastern_time = utc_time + timedelta(hours=-5)
+        # Format as string (YY-MM-DD HH:MM)
+        published_date = eastern_time.strftime('%m-%d-%y %H:%M')
+        
+        import pandas as pd
+        # string dataframe?
+        df = pd.DataFrame([chat_transcript])
+        notion_df.upload(df, 'https://www.notion.so/page-827360c361f347f7bfefcc6dfbd10e51', title=str(published_date), api_key=API_KEY)
+        
 
     if num_tokens > 2200:
         # Reset the messages list and answer counter
@@ -128,14 +156,27 @@ def transcribe(audio, text):
             chat_transcript += f"[ANSWER {answer_count}]" + message['role'] + ": " + message['content'] + "\n\n"
     # Append the number of tokens used to the end of the chat transcript
     
-    with open("personal_note.txt", "a") as f:
+    with open("conversation_history.txt", "a") as f:
         f.write(chat_transcript)
         
     chat_transcript_copy = chat_transcript
     chat_transcript_copy += f"Number of tokens used: {num_tokens}\n\n"
-    filename = datetime.datetime.now().strftime("%Y%m%d%H_personal_note.txt")
-    dbx.files_upload(chat_transcript_copy.encode('utf-8'), f'/{filename}', mode=dropbox.files.WriteMode.overwrite, autorename=False, client_modified=None, mute=False)
-    dbx.files_upload(chat_transcript_copy.encode('utf-8'), '/personal_note.txt', mode=dropbox.files.WriteMode.overwrite, autorename=False, client_modified=None, mute=False)
+    filename = datetime.datetime.now().strftime("%m%d%y_%H:%M_conversation_history.txt")
+    
+    # dbx.files_upload(chat_transcript_copy.encode('utf-8'), f'/{filename}', mode=dropbox.files.WriteMode.overwrite, autorename=False, client_modified=None, mute=False)
+    # dbx.files_upload(chat_transcript_copy.encode('utf-8'), '/conversation_history.txt', mode=dropbox.files.WriteMode.overwrite, autorename=False, client_modified=None, mute=False)
+    
+    # Get the current UTC time
+    utc_time = datetime.now(timezone.utc)
+    # Convert to Eastern Time Zone
+    eastern_time = utc_time + timedelta(hours=-5)
+    # Format as string (YY-MM-DD HH:MM)
+    published_date = eastern_time.strftime('%m-%d-%y %H:%M')
+    
+    import pandas as pd
+    # string dataframe?
+    df = pd.DataFrame([chat_transcript_copy])
+    notion_df.upload(df, 'https://www.notion.so/page-827360c361f347f7bfefcc6dfbd10e51', title=str(chat_transcript_copy), api_key=API_KEY)
 
     return chat_transcript
 
@@ -163,8 +204,6 @@ iface.launch()
 
 
 
-
-
 # from transformers import pipeline, T5Tokenizer
 # import pyttsx3
 # import threading