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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, 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(share=True) |