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import gradio as gr | |
from src.generate import generate | |
from src.utils import load_pipelines_from_config | |
pipelines = load_pipelines_from_config(config_path="model_config.yaml") | |
def fn( | |
text_inputs: str, | |
model: str, | |
max_length: int = 100, | |
temperature: float = 1.5, | |
seed: int = 0, | |
censor_profanity: bool = True, | |
): | |
return generate( | |
pipeline=pipelines[model], | |
pipeline_args={ | |
"text_inputs": text_inputs, | |
"max_length": max_length, | |
"temperature": temperature, | |
}, | |
seed=seed, | |
censor_profanity=censor_profanity, | |
) | |
iface = gr.Interface( | |
fn=fn, | |
inputs=[ | |
gr.Textbox(value="[Verse]", placeholder="Input text...", label="Input Text"), | |
gr.Dropdown( | |
choices=list(pipelines.keys()), | |
value=list(pipelines.keys())[0], | |
label="Model", | |
), | |
gr.Slider(minimum=50, maximum=1000, value=100, step=10, label="Max Length"), | |
gr.Slider(minimum=0.9, maximum=1.9, value=1.5, step=0.05, label="Creativity"), | |
gr.Number(value=42, precision=0, label="Seed"), | |
gr.Checkbox(value=True, label="Censor Profanity"), | |
], | |
outputs="text", | |
) | |
iface.launch() | |