app.py

import gradio as gr
import openai
import time

# Authenticate with OpenAI API
openai.api_key = "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"

# Define GPT-2 model
model_engine = "text-davinci-002"
prompt = "Write a short paragraph about a topic of your choice:"

def generate_text(prompt):
    # Use GPT-2 to generate text based on user input
    response = openai.Completion.create(
        engine=model_engine,
        prompt=prompt,
        max_tokens=1024,
        n=1,
        stop=None,
        temperature=0.5,
    )
    generated_text = response.choices[0].text.strip()
    return generated_text

def generate_text_slowly(prompt):
    # Generate text character by character, with a delay between each character
    generated_text = ""
    response = openai.Completion.create(
        engine=model_engine,
        prompt=prompt,
        max_tokens=1024,
        n=1,
        stop=None,
        temperature=0.5,
    )
    generated_chars = response.choices[0].text.strip()
    for char in generated_chars:
        generated_text += char
        time.sleep(0.05)  # Add a small delay between characters to simulate typing
    return generated_text

# Create Gradio interface
interface = gr.Interface(
    generate_text_slowly,
    inputs=gr.inputs.Textbox(prompt),
    outputs=gr.outputs.Textbox(),
    title="GPT-2 Text Generation",
    description="Enter a short prompt and watch as GPT-2 generates text based on your input.",
)

# Launch the interface
interface.launch()