Update app.py

app.py

@@ -1,11 +1,14 @@
 import os
 import gradio as gr
 import openai
-from gtts import gTTS
-
+from gtts import gTTS # Google Text To Speech
 
+# load the api key
 openai.api_key = os.environ["OPEN_AI_KEY"]
 
+# takes an audio file from the microphone
+# submits the raw audio to OpenAI for 
+# Speech to Text Translation
 def transcribe(audio):   
         audio_file = open(audio, "rb")    
         # Call the transcribe method with the file-like object
@@ -15,20 +18,33 @@ def transcribe(audio):
 
 
 
-    
+# Create a Gradio App using Blocks    
 with gr.Blocks() as demo:
+    # First message as instructions to OpenAI
+    # Establishes a State object to create a
+    # unique state for each user and on reload
     messages = gr.State(value=[{"role": "system", "content": "You are a therapist. Respond in less than 5 sentences."}])
 
+    # Takes the users transcribed audio as a string
+    # Takes the messages list as a reference
+    # Sends the ongoing chat log to OpenAI
     def botResponse(user_input, messages):
+        # adds the user input to the ongoing chat log
+        # and submits the log to OpenAI
         messages.append({"role": "user", "content": user_input})
         response = openai.ChatCompletion.create(
           model="gpt-3.5-turbo-0301",
           messages=messages
         )
-      
+
+        # Parse the response from OpenAI and store
+        # it in the chat log
         system_message = response["choices"][0]["message"]["content"]
         messages.append({"role": "assistant", "content": system_message})
-    
+
+        # Process the messages list to get the
+        # chat log into a string. Exclude the
+        # System responses from the string
         chat_transcript = ""
         for message in messages:
             if (message["role"] != "system"):
@@ -36,6 +52,11 @@ with gr.Blocks() as demo:
     
         return chat_transcript
 
+    # Gets the last message in the 
+    # chat log and uses GTTS to
+    # convert the last response into
+    # an audio file. Returns a path to
+    # the converted text as an mp3 file
     def giveVoice(messages):
         bot_message=messages[-1]
         
@@ -47,6 +68,10 @@ with gr.Blocks() as demo:
     
         return new_path
 
+    # Creates the Gradio interface objects
+    # The submit button triggers a cascade of
+    # events that each engage a different 
+    # component as input/output
     with gr.Row():
         with gr.Column(scale=1):
             user_audio = gr.Audio(source="microphone", type="filepath", label="Input Phrase")