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Update app.py
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app.py
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import gradio as gr
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import os
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from langchain.chains import LLMChain, SequentialChain
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from langchain.prompts import PromptTemplate
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from langchain.llms import OpenAI
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openai = os.getenv("openai")
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if not openai:
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raise ValueError("Please set the in your Hugging space")
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llm = OpenAI(temperature=0.9)
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input_variables=[
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)
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name_chain = LLMChain(llm=llm, prompt=prompt_template_name, output_key="restaurant_name")
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# Chain 2: Menu items with sections
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prompt_template_items = PromptTemplate(
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input_variables=["restaurant_name"],
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template=(
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"Create a detailed menu for a restaurant named '{restaurant_name}'. "
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"The menu should include unique and appealing dishes under the following sections:\n"
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"1. Breakfast\n"
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"2. Lunch\n"
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"3. Dinner\n"
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"Each section should have at least 3 items with short descriptions. The menu should reflect the theme and cuisine of the restaurant."
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)
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)
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food_items_chain = LLMChain(llm=llm, prompt=prompt_template_items, output_key="menu_items")
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def generate_restaurant_idea(cuisine):
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result = chain({'cuisine': cuisine})
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return f"🍽️ **Restaurant Name:** {result['restaurant_name']}\n\n📜 **Menu:**\n{result['menu_items']}"
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gr.Interface(
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fn=generate_restaurant_idea,
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inputs=gr.Textbox(lines=1, placeholder="Enter a cuisine type, e.g., Italian, Japanese, etc."),
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outputs=gr.Markdown(),
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title="🍴 Restaurant Business Idea Generator",
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description="Enter a cuisine type and get a fancy restaurant name along with a structured menu for breakfast, lunch, and dinner."
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).launch()
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import os
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import gradio as gr
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from langchain.chains import LLMChain, SequentialChain
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from langchain.prompts import PromptTemplate
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from langchain.llms import OpenAI
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os.environ["OPENAI_API_KEY"]= os.getenv["OPENAI_API_KEY"]
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llm = OpenAI(temperature= 0.5)
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prompt_name = PromptTemplate(
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input_variables= ['cuisine'],
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template = "I want to open a chic restuarant for {cuisine} food. Suggest an eye-catching fancy name for this"
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)
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name_chain = LLMChain(llm=llm, prompt =prompt_name, output_key = "restaurant_name" )
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promp_items= PromptTemplate(
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input_variables=['restaurant_name'],
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template = ["Create a menu for {restaurant_name}. Divide it into sections like starters, brekfast, lunch and dinner finishing it off with desserts. "
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"a small description underneath each dish. price across. The format of a five michelin star restaurant."]
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)
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menu_chain = LLMChain(llm=llm, prompt= promp_items, output_key = "men_items")
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main_chain = SequentialChain(
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chains= [name_chain, menu_chain],
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input_variables = ['cuisine'],
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output_variables = ['restaurant_name', 'men_items']
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)
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def hotel_function(cuisine):
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result = main_chain({'cuisine': cuisine} )
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return result['restaurant_name'], result['menu_items']
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iface = gr.Interface(
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fn = hotel_function,
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inputs = gr.Textbox(label = "Enter cuisine:") ,
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output = [gr.TextBox(label= "Restaurant_name"), gr.TextBox(label = "Menu Items")],
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title = "Restaurant Menu and Items",
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description="Powered by Langchain and OpenAI")
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iface.launch()
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