| import gradio as gr | |
| from transformers import pipeline | |
| generator = pipeline('text-generation', model='sr5434/chatbot', tokenizer='EleutherAI/gpt-neo-125M') | |
| def generate(text): | |
| result = generator("Human: " + text + "\nAssistant:", max_length=30, num_return_sequences=1) | |
| return result[0]["generated_text"][23:] | |
| examples = [ | |
| ['What is your favorite school subject?'], | |
| ['How are you?'], | |
| ] | |
| demo = gr.Interface( | |
| fn=generate, | |
| inputs=gr.inputs.Textbox(lines=5, label="Input Text"), | |
| outputs=gr.outputs.Textbox(label="Generated Text"), | |
| examples=examples | |
| ) | |
| demo.launch() |