Create app.py

app.py

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+import os
+import gradio as gr
+from langchain.llms import OpenAI
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain, SequentialChain
+
+# Set your OpenAI API key (this will be set via HF Secrets, not hardcoded)
+openai_api_key = os.getenv("OPENAI_API_KEY")
+if not openai_api_key:
+    raise ValueError("Please set the OPENAI_API_KEY in your Hugging Face Space secrets.")
+
+os.environ["OPENAI_API_KEY"] = openai_api_key
+
+# Initialize LLM
+llm = OpenAI(temperature=0.9)
+
+# Prompt for restaurant name
+prompt_template_name = PromptTemplate(
+    input_variables=["cuisine"],
+    template="""
+I want to start a premium restaurant serving {cuisine} cuisine.
+Suggest a unique and classy name that reflects the richness and tradition of this food type.
+Avoid clichés. The name should be memorable and ideal for a fine-dining experience.
+"""
+)
+name_chain = LLMChain(llm=llm, prompt=prompt_template_name, output_key="restaraunt_name")
+
+# Prompt for menu items
+prompt_template_items = PromptTemplate(
+    input_variables=["restaraunt_name"],
+    template="""
+Create a detailed and elegant sample menu for a fine-dining restaurant named "{restaraunt_name}".
+
+Structure the response into the following categories:
+1. 🥗 Starters (3-4 items with names, short descriptions, and suggested prices)
+2. 🍝 Main Course (3-4 items with names, short descriptions, and suggested prices)
+3. 🍹 Drinks (3-4 items with names, short descriptions, and suggested prices)
+
+Ensure that:
+- Each item has a creative name and is culturally relevant.
+- Prices are in USD and reflect a premium dining experience.
+- The tone is refined, as if for a menu booklet or launch event.
+"""
+)
+food_items_chain = LLMChain(llm=llm, prompt=prompt_template_items, output_key="menu_items")
+
+# Combine chains
+chain = SequentialChain(
+    chains=[name_chain, food_items_chain],
+    input_variables=["cuisine"],
+    output_variables=["restaraunt_name", "menu_items"],
+    verbose=True
+)
+
+# Gradio interface logic
+def generate_restaurant(cuisine):
+    result = chain({"cuisine": cuisine})
+    return result["restaraunt_name"], result["menu_items"]
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("## 🍽️ AI Restaurant Name & Gourmet Menu Generator")
+    cuisine_input = gr.Textbox(label="Enter Cuisine Type", placeholder="e.g., Korean, French, Lebanese")
+    name_output = gr.Textbox(label="✨ Suggested Restaurant Name")
+    menu_output = gr.Textbox(label="📜 Gourmet Menu", lines=15)
+
+    generate_button = gr.Button("Generate Menu")
+    generate_button.click(generate_restaurant, inputs=[cuisine_input], outputs=[name_output, menu_output])
+
+# Launch
+demo.launch()