import gradio as gr
import openai

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

# Define the function to search for quotes
def search_quotes(query):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"Search for quotes based on: {query}",
        max_tokens=100,
        n=5,
        stop=None,
        temperature=0.5,
    )
    quotes = response.choices[0].text.strip().split("\n")
    return quotes

# Define the function to search for authors
def search_author(author):
    # Code to search for author information and generate a picture
    author_info = f"Author: {author}\nBio: Lorem ipsum dolor sit amet, consectetur adipiscing elit."
    return author_info

# Define the Gradio interface
def gradio_interface(query):
    if query.startswith("author:"):
        author = query[7:].strip()
        author_info = search_author(author)
        return author_info
    elif query.startswith("tag:"):
        tag = query[4:].strip()
        quotes = search_quotes(tag)
        return quotes
    else:
        quotes = search_quotes(query)
        return quotes

# Create the Gradio app
inputs = gr.inputs.Textbox(label="Chat with me!")
outputs = gr.outputs.Textbox()

gr.Interface(
    fn=gradio_interface,
    inputs=inputs,
    outputs=outputs,
    layout="vertical",
    theme="compact",
).launch()