Create app.py for Travel Planner bot

app.py

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+import os
+import gradio as gr
+from typing import List
+#from pydantic import BaseModel,Field
+from langchain_core.pydantic_v1 import BaseModel, Field
+#from langchain.chat_models import ChatOpenAI
+from langchain_openai import ChatOpenAI
+from langchain.prompts import HumanMessagePromptTemplate, ChatPromptTemplate
+from langchain.output_parsers import PydanticOutputParser
+
+# with open('../openai_api_key.txt') as f:
+#     api_key = f.read()
+    
+# os.environ['OPENAI_API_KEY'] = api_key
+    
+# creating model instance
+chat = ChatOpenAI()
+
+# define pydantic model
+class TravelPlanner(BaseModel):
+    places: List[str] = Field(description='Python list containing list of places that can be visited. ')
+    itenary: dict = Field(description="Python dictionary of itenary details")
+    
+# get format instructions
+output_parser = PydanticOutputParser(pydantic_object=TravelPlanner)
+format_instructions = output_parser.get_format_instructions()
+
+def travel_planner(place : str) -> List:
+    human_template = """
+    I want to visit {place}. Suggest me a travel itenary. {format_instructions}"""
+    human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
+
+
+    chat_prompt  = ChatPromptTemplate.from_messages([human_message_prompt])
+    prompt = chat_prompt.format_prompt(place = place, format_instructions = format_instructions)
+    
+    messages = prompt.messages
+    response = chat(messages = messages)
+    output = output_parser.parse(response.content)
+    
+    places, itenary = output.places, output.itenary
+    return places, itenary
+
+# building interface
+with gr.Blocks() as demo:
+    gr.HTML("<h1 align = 'center'> Travel Planner </h1>")
+    
+    inputs = [gr.Textbox(label = 'Enter the place that you want to go for vacation')]
+    generate_btn = gr.Button(value = 'Generate')
+    outputs = [gr.Text(label = 'List of places that you can visit'), gr.JSON(label = 'Itenary details')]
+    generate_btn.click(fn = travel_planner,inputs=inputs, outputs=outputs) 
+    
+if __name__ == '__main__':
+    demo.launch()