#Imporing required libraries | |
from transformers import pipeline | |
import gradio as gr | |
# Defining the pipeline and the model | |
pipe_flan = pipeline("text-generation", model="gpt2") | |
# Text generation | |
def generator(input): | |
output = pipe_flan(input, max_length=50, num_return_sequences=1) | |
return output[0]["generated_text"] | |
# Creating the Gradio Interface | |
demo = gr.Interface( | |
fn=generator, | |
inputs=gr.inputs.Textbox(lines=5, label="Input Text"), | |
outputs=gr.outputs.Textbox(label="Generated Text") | |
) | |
# Lauching the Gradio Interface | |
demo.launch(server_name="0.0.0.0", server_port=7860) |