add gpt to whisper app

whisper_app.py

@@ -3,6 +3,9 @@ import gradio as gr
 from dotenv import dotenv_values
 import openai
 import os
+from langchain.prompts import PromptTemplate
+from modules.gpt_modules import gpt_call
+import random
 
 """
 apt-get update
@@ -14,6 +17,49 @@ config = dotenv_values(".env")
 openai.organization = config.get('OPENAI_ORGANIZATION')
 openai.api_key = config.get('OPENAI_API_KEY')
 
+def debate(audio):
+    os.rename(audio, audio + '.wav')
+    file = open(audio + '.wav', "rb")
+
+    # user_words
+    user_prompt = openai.Audio.transcribe("whisper-1", file).text
+
+    # 일단 테스트를 위해 고정함
+    debate_subject = "In 2050, AI robots are able to replicate the appearance, conversation, and reaction to emotions of human beings. However, their intelligence still does not allow them to sense emotions and feelings such as pain, happiness, joy, and etc."
+
+    debate_role = [
+            "pro side", 
+            "con side",
+        ]
+    user_debate_role = random.choice(debate_role)
+    bot_debate_role = "".join([role for role in debate_role if role != user_debate_role])
+
+    debate_preset = "\n".join([
+            "Debate Rules: ",
+            "1) This debate will be divided into pro and con",
+            "2) You must counter user's arguments",
+            "3) Answer logically with an introduction, body, and conclusion.\n", #add this one.
+            "User debate role: " + user_debate_role,
+            "Bot debate roles: " + bot_debate_role + "\n",
+            "Debate subject: " + debate_subject
+        ])
+    
+    prompt_template = PromptTemplate(
+                input_variables=["prompt"],
+                template="\n".join([
+                    debate_preset, #persona
+                    "User: {prompt}",
+                    "Bot: "
+                    ])
+            )
+    bot_prompt = prompt_template.format(
+                prompt=user_prompt
+            )
+    response = gpt_call(bot_prompt)
+
+    return response
+
+
 
 def transcribe(audio):
     os.rename(audio, audio + '.wav')
@@ -25,7 +71,7 @@ def transcribe(audio):
 
 gr.Interface(
     title = 'Whisper Audio to Text with Speaker Recognition', 
-    fn=transcribe,
+    fn=debate,
     inputs=[
         gr.inputs.Audio(source="microphone", type="filepath"),
         #gr.inputs.Number(default=2, label="Number of Speakers")