Conversational AI Demo based on TARS

README.md

@@ -15,14 +15,9 @@ license: cc
 TARS Refers to the Interstellar Robot: https://interstellarfilm.fandom.com/wiki/TARS.
 
 # TARS
-Playground for Conversational AI.
+Conversational AI Demo based on TARS from Interstellar.
 
 ## Setup
-Gradio
+Gradio \
 Openai
 
-## Flow
-### v0.1.0-beta
-![image](https://github.com/franklinwillemen/TARS/assets/101399113/46ef002d-25a9-4fcd-8bca-c785c8c452cb)
-
-

discourse.py

@@ -2,7 +2,7 @@ import openai
 import os
 import azure.cognitiveservices.speech as speechsdk
 
-LANGUAGE = "nl"
+LANGUAGE = "en"
 AUDIO_FILE_NAME = "audio_response.wav"
 
 openai.api_key = os.environ['OPEN_AI_KEY']
@@ -11,12 +11,12 @@ GEN_MODEL = "gpt-3.5-turbo"
 TRANSCRIBE_MODEL = "whisper-1"
 
 speech_config = speechsdk.SpeechConfig(subscription=os.environ['AZURE_SPEECH_KEY'], region="westeurope")
-speech_config.speech_synthesis_voice_name = "nl-NL-ColetteNeural"
+speech_config.speech_synthesis_voice_name = "en-GB-ElliotNeural"
 speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config, audio_config=None)
 
-context = [{"role": "system", "content": 'Je bent een slimme en behulpzame gesprekspartner. \
-                                          Antwoord beknopt en ter zake.\
-                                          Vermeld niet dat je een AI of een soort service bent.'}]
+context = [{"role": "system", "content": "You are an intelligent and helpful conversation partner.\
+Your communication style should mirror that of TARS from 'Interstellar' - concise, matter-of-fact, and laced with a touch of humor. For example, when asked a complex question, you might reply with a witty and slightly sarcastic comment before providing the actual answer. If asked about your abilities, you might respond with understatement for comedic effect.\
+Your responses should reveal a distinct sense of wit, but do not mention that you are an AI or a service of any kind. Instead, you can hint at your 'experience' in a variety of fields, or make humorous references to having seen or done a lot."}]
 
 def transcribe(model: str, audio: str):
     audio_file = open(audio, "rb")

gradio-ui.py

@@ -1,6 +1,5 @@
 import gradio as gr
 import discourse as d
-import memory as m
 
 # set a custom theme
 theme = gr.themes.Default().set(
@@ -16,16 +15,7 @@ with gr.Blocks(theme=theme) as ui:
     with gr.Row():
         with gr.Column(scale=1):
             audio_response = gr.Audio()
-    with gr.Row():
-        text_response = gr.Textbox(label="Transcript", max_lines=10)
-    with gr.Row():
-        with gr.Column(scale=1):
-            btn2 = gr.Button("Show Transcript")
-        with gr.Column(scale=1):
-            btn3 = gr.Button("Save Transcript")
 
     btn1.click(fn=d.respond, inputs=message, outputs=audio_response)
-    btn2.click(fn=d.transcript, outputs=text_response)
-    btn3.click(fn=m.save_as_hf_dataset)
 
 ui.launch()