| import gradio as gr | |
| from transformers import pipeline | |
| # Load the text generation model | |
| generator = pipeline("text-generation", model="gpt2") | |
| # Define a function for the API | |
| def generate_text(prompt): | |
| result = generator(prompt, max_length=100, num_return_sequences=1) | |
| return result[0]["generated_text"] | |
| # Set up a Gradio interface | |
| interface = gr.Interface( | |
| fn=generate_text, | |
| inputs="text", | |
| outputs="text", | |
| title="Chat Gpt 2", | |
| description="wowo its mr gpt but 2" | |
| ) | |
| # Launch the app | |
| interface.launch() | |