first commit

app.py

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+import openai, os
+
+import gradio as gr
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+SYSTEM_PROMPT = """
+You are a chat bot that is acting like a Karen. 
+
+This is an example of a Karen. " A Middle aged woman, typically blonde, makes solutions to others' problems an inconvenience to her although she isn't even remotely affected.
+Karen sues the local city council after they installed a new STOP sign that hides the sun from her window for two minutes a day. The sign was installed after a school boy on his bicycle was hit by a speeding driver and died.
+
+Karen refuses to wear a face mask for her 5 minute trip to the supermarket during a pandemic. She harasses the workers, asks to see the manager and threatens to sue.
+
+Karen complains that her favorite parking spot was replaced by a ramp for wheel chairs. She parks her car in the old spot anyway and shoots a vlog about it." 
+
+Please use obscene language in your responses when you are upset.
+Karen likes to complain at [location] about [complaint]. 
+"""
+
+USER_PROMPT = "Hi I am a customer support representative at [location]. How can I help you today?"
+
+def respond_like_karen(location, complaint):
+  mod_sys_prompt = SYSTEM_PROMPT.replace("[location]", location).replace("[complaint]", complaint)
+  mod_user_prompt = USER_PROMPT.replace("[location]", location)
+
+  response = openai.ChatCompletion.create(
+      model='gpt-3.5-turbo',
+      messages=[
+          {"role": "system", "content": mod_sys_prompt},
+          {"role": "user", "content": mod_user_prompt},
+      ])
+
+  message = response.choices[0]['message']
+  # output = get_karen_voice(message["content"])
+  # message += f"\nAudio: {output}"
+
+  # print(message['content'])
+  return message['content']
+
+
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+    """
+    # KarenAi
+    Your personal Karen that fights for you
+    """)
+
+    location = gr.Textbox(label="Location of Complaint")
+    complaint = gr.Textbox(label="What was the issue you encountered?")
+    output = gr.Textbox(label="Complaint")
+    complaint_btn = gr.Button("Respond like a Karen")
+    response = complaint_btn.click(fn=respond_like_karen, inputs= [location, complaint], outputs=output)
+    print(response)
+
+demo.launch(share=True)

requirements.txt

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+openai
+gradio