Initial project template.

Makefile

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+install:
+	pip install -e .
+	pip install -r requirements.txt
+
+lint:
+	black src tests
+	flake8 src tests
+	PYTHONPATH=. pylint src/ tests/
+	mypy src tests
+
+test:
+	pytest tests/ -v --cov=src/ --cov-report=term-missing
+
+clean:
+	rm -rf build/
+	rm -rf dist/
+	rm -rf *.egg-info
+	find . -type d -name __pycache__ -exec rm -rf {} +
+	find . -type f -name "*.pyc" -delete
+
+all: install lint test clean

requirements.txt

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+gradio
+vllm
+langchain 
+langchain_community 

setup.py

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+from setuptools import setup, find_packages
+
+setup(
+    name="my-project",
+    version="0.1",
+    packages=find_packages(),
+    install_requires=[
+        # Add your production dependencies here
+    ],
+)

src/app.py

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+import gradio as gr
+from langchain_community.llms import VLLM
+
+# Initialize vLLM
+llm = VLLM(
+    model="meta-llama/Llama-3.2-1B",
+    trust_remote_code=True,
+    max_new_tokens=512,
+    top_k=10,
+    top_p=0.95,
+    temperature=0.8,
+)
+
+# Recipe prompt template from previous example
+RECIPE_PROMPT = """You are a skilled chef and culinary expert. Create a detailed recipe for {dish_name} with the following format:
+
+Recipe: {dish_name}
+
+INGREDIENTS: List each ingredient with exact quantity and estimated price (USD)
+
+NUTRITIONAL INFO:
+1. Total calories
+2. Protein
+3. Carbs
+4. Fat
+5. Serving size
+
+COOKING INSTRUCTIONS:
+1. Step-by-step numbered process
+2. Include cooking temperatures and times
+3. Note any specific techniques or tips
+
+CULTURAL BACKGROUND:
+1. Origin of dish
+2. Traditional serving occasions
+3. Cultural significance
+4. Regional variations
+
+PREPARATION TIME:
+1. Prep time
+2. Cooking time
+3. Total time
+
+DIFFICULTY LEVEL: [Easy/Medium/Hard]
+
+TOOLS NEEDED: List essential kitchen equipment
+
+TIPS:
+1. Storage recommendations
+2. Substitution options
+3. Serving suggestions
+
+"""
+
+
+def generate_recipe(dish_name):
+    prompt = RECIPE_PROMPT.format(dish_name=dish_name)
+    response = llm(prompt)
+    return response
+
+
+# Gradio interface
+demo = gr.Interface(
+    fn=generate_recipe,
+    inputs=gr.Textbox(label="Enter dish name"),
+    outputs=gr.Textbox(label="Generated Recipe", lines=20),
+    title="Recipe Genie",
+    description="AI-powered recipe generator with costs, nutrition facts, and cultural insights.",
+    examples=["Pad Thai", "Butter Chicken", "Paella"],
+)
+
+if __name__ == "__main__":
+    demo.launch()