File size: 506 Bytes
3b6517d d5d6926 3b6517d d5d6926 3b6517d d5d6926 3b6517d dd1d3d7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | from transformers import pipeline
import gradio as gr
# Load the open-source model
generator = pipeline("text-generation", model="gpt2")
# Define a function to interact with the model
def generate_text(prompt):
results = generator(prompt, max_length=50, num_return_sequences=1)
return results[0]['generated_text']
# Create a Gradio interface
interface = gr.Interface(
fn=generate_text,
inputs="text",
outputs="text",
title="Text Generator"
)
# Launch the app
interface.launch()
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