app.py

import streamlit as st
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

# Load the model and tokenizer
model_name = "flax-community/t5-recipe-generation"
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

# Streamlit app for recipe generation
st.title("AI-Powered Recipe Generator")
prompt = st.text_input("Enter ingredients or a recipe title:")

if st.button("Generate Recipe"):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(inputs["input_ids"], max_length=150, num_return_sequences=1)
    recipe = tokenizer.decode(outputs[0], skip_special_tokens=True)
    st.write(recipe)