| import gradio as gr | |
| from transformers import pipeline | |
| import re | |
| model_checkpoint = "erwanlc/t5-cocktails_recipe-base" | |
| tt_generator = pipeline("text2text-generation", model=model_checkpoint) | |
| def generate_text(ingredients): | |
| result = tt_generator(ingredients.lower(), min_length=20, max_length=1024, do_sample=True, temperature=1.0, top_p=1.0) | |
| result = result[0]["generated_text"] | |
| result_temp = result | |
| 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[-1] = f"\nIngredients:\n{result[-1]}" | |
| result[-1] = re.sub(" (?=[A-Z])", "\n", result[-1]) | |
| result = "\n".join(result) | |
| result = re.sub("(?<=[0-9].)\n(?=[0-9])", "", result) | |
| print(result_temp) | |
| return result | |
| title = "Create original cocktails based on your available ingredients" | |
| description = "Finetuned T5 on cocktails recipe. Write your ingredients separated by a comma to generate a cocktail. This work was inspired by Chef Transformer (https://huggingface.co/spaces/flax-community/chef-transformer)." | |
| examples = [ | |
| ["rum,apricot liqueur,lime juice,sugar syrup"], | |
| ["gin,honey,basil leaves,soda water"] | |
| ] | |
| output_text = gr.outputs.Textbox() | |
| gr.Interface( | |
| fn=generate_text, | |
| inputs="textbox", | |
| outputs=output_text, | |
| title=title, | |
| description=description, | |
| examples=examples, | |
| theme="huggingface", | |
| ).launch() |