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import gradio as gr | |
from gradio.inputs import Textbox | |
io = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B") | |
def generate_text(c1, c2, area=None): | |
if not(area.strip()): | |
prompt = "{} is joining {}. By aquiring {}, a startup, {} will".format(c2, c1, c2, c1) | |
else: | |
prompt = "{} is joining {}. By aquiring {}, a {} startup, {} will".format(c2, c1, c2, area, c1) | |
return io(prompt) | |
examples = [ | |
["Hugging Face", "Gradio", "machine learning"], | |
["Microsoft", "GitHub", "hosting for version control"] | |
] | |
gr.Interface(generate_text, [Textbox(label="Acquiring company"), Textbox(label="Startup"), Textbox(label="Type of startup (optional)")], "textbox", examples=examples, description="Acquisition Post Generator: provide the names of any 2 companies, and a state-of-the-art machine learning language model (GPT-J) will write about their acquisition.", theme="default").launch() |