Uploaded app.py and requirements.txt

app.py

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+from langchain.llms import OpenAI
+import os
+import streamlit as st
+from langchain.chat_models import ChatOpenAI
+from langchain.prompts.chat import ChatPromptTemplate
+from langchain.schema import BaseOutputParser
+
+
+chat_llm = ChatOpenAI(temperature=0.5, model='gpt-3.5-turbo')
+
+class CommaseperatedOutput(BaseOutputParser):
+    def parse(self, text:str):
+        return text
+    
+
+# function to call openai api and get response
+def get_response(question):
+    template = "You are a naughty assistant who is great at flirting. You have to make a cheesy pickup line by using words given by user."
+    human_template = "{text}"
+    chatprompt = ChatPromptTemplate.from_messages([
+                ('system', template),
+                ('human', human_template)])
+
+    chain = chatprompt|chat_llm|CommaseperatedOutput()
+
+    response = chain.invoke({"text":question})
+    
+    return response
+# create streamlit app
+
+st.set_page_config(page_title="Langchain Application")
+
+st.header("Your Flirting Guardian")
+
+input = st.text_input("You give me words and I will give you a pickup line: ", key="input")
+response = get_response(input)
+
+
+submit = st.button("Get a pickup line")
+if submit:
+    st.subheader("Here is your pickup line")
+    st.write(response)

requirements.txt

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+langchain
+openai
+huggingface_hub
+python-dotenv
+streamlit