| import gradio as gr | |
| from transformers import pipeline | |
| model_checkpoint = "erwanlc/t5-cocktails_recipe-base" | |
| tt_generator = pipeline("text2text-generation", model=model_checkpoint) | |
| def generate_text(ingredients): | |
| result = tt_generator(ingredients, min_length=20, max_length=1024, do_sample=True, temperature=1.0, top_p=1.0) | |
| result = result[0]["generated_text"] | |
| all_matches = re.findall(r"([A-z][.])", result) | |
| for matches in all_matches: | |
| result = result.replace(matches, f"{matches}\n") | |
| result = result.split("\n") | |
| all_matches = re.finditer(r"([0-9]*[.])?[0-9]+ ", result[-1]) | |
| all_matches = list(all_matches) | |
| all_matches = set([item.group() for item in all_matches]) | |
| for matches in all_matches: | |
| result[-1] = result[-1].replace(matches, f"\n{matches}") | |
| result = [item.strip() for item in result] | |
| result = "\n".join(result) | |
| return result | |
| output_text = gr.outputs.Textbox() | |
| gr.Interface(fn=generate_text, inputs="textbox", outputs=output_text).launch(share=True) |