Update app.py

app.py

@@ -18,6 +18,24 @@ history_openai_format = [
 # Define the function that takes a name and text input to generate the speech
 def generate_speech(name, input_text):
     global history_openai_format  # Use the global history variable to maintain state
+
+    # Get dateTime string to build a filename reflecting the UserID + Timestamp
+    dt = datetime.now()
+    dt_string = str(dt)
+
+    # Define the user ID and construct the filename for the user's history file
+    user_id = name if name else "unidentified"  # User identification, typically an email.
+    user_hist_file = "files/gp-" + user_id + ".txt"  # Filename where the user history will be stored.
+
+    # Check if the user's history file exists
+    if os.path.exists(user_hist_file):
+        # If it exists, open and read its contents, then print it
+        with open(user_hist_file, "r", encoding="UTF-8") as file:
+            user_hist = file.read().strip()  # Remove leading/trailing whitespace
+    else:
+        # If it does not exist, create the file and initialize it with the user ID
+        with open(user_hist_file, "w", encoding="UTF-8") as file:
+            file.write("User ID: " + user_id)
     
     # Append user message to history with the name included
     input_text1 = f"I'm {name}. " + input_text
@@ -59,6 +77,12 @@ def generate_speech(name, input_text):
             else:
                 transcript += f"Johnny: {msg['content']}\n\n"  # Change 'Assistant' to 'Johnny'
 
+    # Write the user and assistant messages to the history file after the exchange
+    with open(user_hist_file, "a+", encoding="UTF-8") as file:
+        file.write("\n\nDate/Time: " + datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
+        for message in history_openai_format[-2:]:  # Last 2 messages include the user and assistant responses
+            file.write(f"\n{message['role'].title()}: {message['content']}")
+
     # Return the binary audio data and the transcript
     return response.content, transcript
 
@@ -66,7 +90,7 @@ def generate_speech(name, input_text):
 iface = gr.Interface(
     fn=generate_speech,
     inputs=[
-        gr.Textbox(label="Your Name (required):", placeholder="Enter your FIRST NAME"),
+        gr.Textbox(label="Your Name (REQUIRED):", placeholder="Enter your FIRST NAME"),
         gr.Textbox(label="Your question or comment for Johnny:")
     ],
     outputs=[gr.Audio(autoplay=True, label="Johnny's response:"), gr.TextArea(label="Transcript", autoscroll="True", show_copy_button="True")],