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app.py

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+import streamlit as st
+import openai
+from langchain_openai import ChatOpenAI
+from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
+
+
+import os
+from dotenv import load_dotenv
+
+
+load_dotenv()
+
+
+## Langsmith Tracking
+os.environ['LANGCHAIN_API_KEY'] = os.getenv('LANGCHAIN_API_KEY')
+os.environ['LANGCHAIN_TRACING_V2'] = 'true'
+os.environ['LANGCHAIN_PROJECT'] = "Simple Q&A Chatbot With OpenAI"
+
+## Prompt Template
+prompt = ChatPromptTemplate(
+    [
+        ("system", "You are a helpful assistant. Please answer the user's questions to the best of your ability."),
+        ("user", "Question:{question}"),
+    ]
+)
+
+
+def generate_response(question, api_key, llm, temperature, max_tokens):
+    openai.api_key = api_key
+    llm = ChatOpenAI(model=llm,temperature=temperature,max_tokens=max_tokens)
+    output_parser = StrOutputParser()
+    chain = prompt|llm|output_parser
+    answer = chain.invoke({'question':question})
+    return answer
+
+
+## Title of the chat
+st.title('Enhanced Q&A Chatbot With OpenAI')
+
+## Sidebar for settings
+st.sidebar.title('Settings')
+api_key = st.sidebar.text_input("Enter your Open AI API Key:", type="password")
+
+## Dropdown to select various OpenAI models
+llm = st.sidebar.selectbox('Select OpenAI Model', ['gpt-4o-mini', 'gpt-4-turbo', 'gpt-4o'])
+
+## Adjust response parameters
+temperature = st.sidebar.slider('Temperature', min_value=0.0, max_value=1.0, value=0.7)
+max_tokens = st.sidebar.slider('Max Tokens', min_value=50, max_value=300, value=150)
+
+## Main Interface for user input
+st.write('Ask me anything!')
+user_input = st.text_input('Enter your question here:')
+
+if user_input:
+    response = generate_response(user_input, api_key, llm, temperature, max_tokens)
+    st.write(response)
+else:
+    st.write('Please enter a question to get started!')

requirements.txt

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+langchain-openai
+langchain
+python-dotenv
+langchain_community
+langchain_core
+streamlit