app.py

import gradio as gr
import openai

# Set up OpenAI API credentials
openai.api_key = ""

# Function to generate a response from the influential figure
def chat_with_figure(figure, message):
    prompt = f"You are chatting with {figure}.\n\nUser: {message}\n{figure}:"
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=150,
        temperature=0.6,
        top_p=0.9,
        frequency_penalty=0.0,
        presence_penalty=0.6,
        n=1,
        stop=None
    )
    reply = response.choices[0].text.strip().split("\n")[0]
    return reply

# Create a Gradio interface
def chat_interface(figure, message):
    reply = chat_with_figure(figure, message)
    return f"{figure}: {reply}"

figure_input = gr.inputs.Textbox(label="Enter the name of the influential figure")
message_input = gr.inputs.Textbox(label="Chat message")
output_text = gr.outputs.Textbox()

iface = gr.Interface(
    fn=chat_interface,
    inputs=[figure_input, message_input],
    outputs=output_text,
    title="Chat with an Influential Figure",
    description="Enter the name of an influential figure and start a conversation.",
    examples=[
        ["Albert Einstein", "What is the meaning of life?"],
        ["Oprah Winfrey", "How can I achieve my goals?"],
        ["Steve Jobs", "Tell me about your journey in technology."]
    ]
)

# Run the interface
iface.launch()