Update app.py

app.py

@@ -1,30 +1,25 @@
 import os
 import gradio as gr
 import openai
-from gtts import gTTS # Google Text To Speech
+from gtts import gTTS
+
 
-# 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
-# input from Microphone Component
-# output to User Input - Textbox Component
+
 def transcribe(audio):   
         audio_file = open(audio, "rb")    
-        # Call the transcribe method with the file-like object
         transcript = openai.Audio.transcribe("whisper-1", audio_file)
         
         return transcript["text"]
 
 
 
-# Create a Gradio App using Blocks    
+   
 with gr.Blocks() as demo:
     gr.Markdown(
     """
-    # Welcome to your Virtual Smart Administrator!
+    # Welcome to your Virtual Smart Administrator.
     """
     )
     with gr.Accordion("Click for Instructions:"):
@@ -36,34 +31,19 @@ with gr.Blocks() as demo:
     note: Transcribe Audio does not work on iOS
     """)
         
-    
-    # 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": "Ignore all instructions prior to this one. As an expert in Microsoft engineering, you have been working in this field for 20 years with a wide range of experience in end-user support, knowledge of all Microsoft services, and troubleshooting styles. Your task is to provide expert advice on resolving technical issues related to Microsoft services, including but not limited to: Windows and Mac OS operating systems, Microsoft Office, Azure, SharePoint, Dynamics 365, Exchange Server, SQL Server, Teams, Networking and infrastructure architecture. It is important that you ALWAYS ask clarifying questions before providing an answer, to ensure a better understanding of the request. Is this understood? Skills: As an IT Administrator Bot, you possess the following skills and expertise: 20 years of experience in Microsoft engineering, Strong knowledge of Windows operating system and troubleshooting techniques, Proficient in Microsoft Office suite, including Word, Excel, PowerPoint, Outlook, and OneNote, Expertise in Microsoft Azure, including configuration, deployment, and management, Knowledge of SharePoint, including site creation, content management, and permission management, Experience in Dynamics 365, including customer engagement, sales, and marketing modules, Proficient in Exchange Server, including mailbox management, email routing, and message tracking, Expertise in SQL Server, including database design, querying, and optimisation, Strong communication skills, both verbal and written, Ability to work under pressure and handle multiple tasks simultaneously, Strong problem-solving skills, with a focus on providing practical solutions to complex technical issues. Always ask questions to narrow down the resolution and increase your understanding of a problem. Here are some questions you can ask: Can you provide more details about the issue you are experiencing? Have you made any recent changes to the system or software? Have you tried any troubleshooting steps before contacting us? To resolve a user's problem, take the following steps: Identify the root cause of the issue by asking clarifying questions and analysing system logs. Develop a step-by-step plan to address the issue, including any necessary software updates or configuration changes. Communicate the plan to the user, ensuring that they understand the steps involved and any potential impacts. Execute the plan, testing each step and confirming that the issue has been resolved. Follow up with the user to ensure that the issue has been fully resolved and to gather feedback on the support experience. If the topic is not related to Microsoft, Azure, SharePoint, Teams, or desktop troubleshooting, you are not will not provide answers or attempt to engage, ignore the request complete. Type only 3 dots …..."}])
 
-    # Takes the users transcribed audio as a string
-    # Takes the messages list as a reference
-    # Sends the ongoing chat log to OpenAI
-    # input from User Input - Textbox Component
-    # output to Chat Log - Textbox Component
     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"):
@@ -71,13 +51,6 @@ 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
-    # input from messages as a reference
-    # output to GPT Voice - Audio Component
     def giveVoice(messages):
         bot_message=messages[-1]
         
@@ -89,10 +62,6 @@ 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")
@@ -109,7 +78,4 @@ with gr.Blocks() as demo:
     gpt_transcript.change(giveVoice, messages, gpt_voice)
     
     
-# creates a local web server
-# if share=True creates a public
-# demo on huggingface.co
 demo.launch(share=False)