Spaces:
Sleeping
Sleeping
Upload 2 files
Browse files- app.py +73 -0
- requirements.txt +4 -0
app.py
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
from transformers import pipeline
|
| 3 |
+
|
| 4 |
+
# Load the recipe generation model
|
| 5 |
+
generator = pipeline("text2text-generation", model="flax-community/t5-recipe-generation")
|
| 6 |
+
|
| 7 |
+
def generate_recipe(ingredients):
|
| 8 |
+
"""
|
| 9 |
+
Generate a recipe based on the provided ingredients
|
| 10 |
+
"""
|
| 11 |
+
# Check if ingredients are provided
|
| 12 |
+
if not ingredients.strip():
|
| 13 |
+
return "Please enter some ingredients!"
|
| 14 |
+
|
| 15 |
+
try:
|
| 16 |
+
# Format the prompt for the model
|
| 17 |
+
# The model expects format: "items: ingredient1, ingredient2, ingredient3"
|
| 18 |
+
prompt = f"items: {ingredients}"
|
| 19 |
+
|
| 20 |
+
# Generate the recipe
|
| 21 |
+
result = generator(prompt, max_length=512, do_sample=True)
|
| 22 |
+
|
| 23 |
+
# Extract the generated recipe
|
| 24 |
+
recipe = result[0]['generated_text']
|
| 25 |
+
|
| 26 |
+
# Format the output nicely
|
| 27 |
+
output = "#Generated Recipe\n\n"
|
| 28 |
+
output += "---\n\n"
|
| 29 |
+
output += recipe
|
| 30 |
+
output += "\n\n---\n\n"
|
| 31 |
+
output += "**Tip**: Try different ingredient combinations for variety!"
|
| 32 |
+
|
| 33 |
+
return output
|
| 34 |
+
|
| 35 |
+
except Exception as e:
|
| 36 |
+
return f"Error generating recipe: {str(e)}\n\nPlease try again with different ingredients."
|
| 37 |
+
|
| 38 |
+
# Example ingredient combinations for users to try
|
| 39 |
+
examples = [
|
| 40 |
+
["chicken, rice, garlic, tomatoes, onion"],
|
| 41 |
+
["pasta, cream, parmesan cheese, mushrooms, spinach"],
|
| 42 |
+
["eggs, milk, flour, sugar, vanilla extract"],
|
| 43 |
+
["salmon, lemon, dill, potatoes, butter"],
|
| 44 |
+
["beef, beans, chili powder, onion, tomatoes"],
|
| 45 |
+
["tofu, soy sauce, ginger, broccoli, sesame oil"]
|
| 46 |
+
]
|
| 47 |
+
|
| 48 |
+
# Create the Gradio interface
|
| 49 |
+
demo = gr.Interface(
|
| 50 |
+
fn=generate_recipe,
|
| 51 |
+
inputs=gr.Textbox(
|
| 52 |
+
label="Enter Your Ingredients",
|
| 53 |
+
placeholder="chicken, rice, garlic, tomatoes, onion",
|
| 54 |
+
lines=3,
|
| 55 |
+
info="Enter ingredients separated by commas"
|
| 56 |
+
),
|
| 57 |
+
outputs=gr.Markdown(label="Your Recipe"),
|
| 58 |
+
title="AI Recipe Generator",
|
| 59 |
+
description="Enter the ingredients you have, and I'll generate a delicious recipe for you!",
|
| 60 |
+
examples=examples,
|
| 61 |
+
theme=gr.themes.Soft(),
|
| 62 |
+
article="""
|
| 63 |
+
### How to use:
|
| 64 |
+
1. Enter your available ingredients separated by commas
|
| 65 |
+
2. Click 'Submit' or press Enter
|
| 66 |
+
3. Get a complete recipe with instructions!
|
| 67 |
+
|
| 68 |
+
**Powered by T5 Recipe Generation Model from Hugging Face**
|
| 69 |
+
"""
|
| 70 |
+
)
|
| 71 |
+
|
| 72 |
+
if __name__ == "__main__":
|
| 73 |
+
demo.launch()
|
requirements.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
gradio
|
| 2 |
+
transformers
|
| 3 |
+
torch
|
| 4 |
+
sentencepiece
|