discourse

app.py → discourse.py

@@ -1,16 +1,14 @@
-import gradio as gr
 import openai
-import config
 import os
 import azure.cognitiveservices.speech as speechsdk
 
 openai.api_key = os.environ['OPEN_AI_KEY']
 
 speech_config = speechsdk.SpeechConfig(subscription=os.environ['AZURE_SPEECH_KEY'], region="westeurope")
-#audio_config = speechsdk.audio.AudioOutputConfig(use_default_speaker=True)
 speech_config.speech_synthesis_voice_name = "nl-NL-ColetteNeural"
 speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config, audio_config=None)
 
+
 context = [{"role": "system", "content": 'You are a clever and helpfull conversationalist. \
                                         Respond to all input in 25 words or less. \
                                         Do not mention that you are an AI or service of any kind.'}]
@@ -29,7 +27,7 @@ def gen_voice(response, response_filename):
     stream = speechsdk.AudioDataStream(reponse_audio)
     stream.save_to_wav_file(response_filename)
 
-def conversation(audio:str):
+def respond(audio:str):
     transcript = transcribe("whisper-1", audio)
     context.append({"role": "user", "content": transcript['text']})
 
@@ -38,28 +36,9 @@ def conversation(audio:str):
     
     gen_voice(response, "voice.wav")
 
-    chat_transcript = ""
-    for message in context:
-        if message['role'] != 'system':
-            chat_transcript += message['role'] + ": " + message['content'] + "\n\n"
-
-    return "voice.wav"
-
-# set a custom theme
-theme = gr.themes.Default().set(
-    body_background_fill="#000000",
-)
-
-with gr.Blocks(theme=theme) as ui:
-    # advisor image input and microphone input
-    #advisor = gr.Image(value=config.TARS_LOGO).style(width=config.LOGO_IMAGE_WIDTH, height=config.LOGO_IMAGE_HEIGHT)
-    audio_input = gr.Audio(source="microphone", type="filepath")
-    audio_output = gr.Audio()
-
-    # text transcript output and audio 
-    # text_output = gr.Textbox(label="Transcript")
-
-    btn = gr.Button("Run")
-    btn.click(fn=conversation, inputs=audio_input, outputs=[audio_output])
+    # chat_transcript = ""
+    # for message in context:
+    #     if message['role'] != 'system':
+    #         chat_transcript += message['role'] + ": " + message['content'] + "\n\n"
 
-ui.launch()
+    return "voice.wav"