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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()
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