Create app.py

app.py

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+import gradio as gr
+from langchain.chains import LLMChain, SequentialChain
+from langchain.prompts import PromptTemplate
+from langchain.llms import OpenAI
+
+# Define the LLM
+llm = OpenAI(temperature=0.9)
+
+# Chain 1: Restaurant Name
+prompt_template_name = PromptTemplate(
+    input_variables=['cuisine'],
+    template="I want to open a restaurant for {cuisine} food. Suggest a fancy name for this."
+)
+name_chain = LLMChain(llm=llm, prompt=prompt_template_name, output_key="restaraunt_name")
+
+# Chain 2: Menu Items
+prompt_template_items = PromptTemplate(
+    input_variables=['restaraunt_name'],
+    template="Suggest me some menu items for {restaraunt_name}."
+)
+food_items_chain = LLMChain(llm=llm, prompt=prompt_template_items, output_key="menu_items")
+
+# Combine into SequentialChain
+chain = SequentialChain(
+    chains=[name_chain, food_items_chain],
+    input_variables=['cuisine'],
+    output_variables=['restaraunt_name', 'menu_items'],
+    verbose=True
+)
+
+# Gradio Function
+def generate_restaurant_info(cuisine):
+    output = chain({'cuisine': cuisine})
+    return output['restaraunt_name'], output['menu_items']
+
+# Gradio UI
+iface = gr.Interface(
+    fn=generate_restaurant_info,
+    inputs=gr.Textbox(label="Enter Cuisine (e.g., Italian, Japanese, Indian)"),
+    outputs=[
+        gr.Textbox(label="Restaurant Name"),
+        gr.Textbox(label="Menu Items")
+    ],
+    title="Restaurant Name & Menu Generator",
+    description="Enter a cuisine type, and get a fancy restaurant name and menu ideas using LangChain + OpenAI."
+)
+
+iface.launch()