Upload app.py

app.py

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+# Q&A Chatbot
+import os
+from langchain.llms import OpenAI
+from dotenv import load_dotenv
+import streamlit as st
+
+load_dotenv()
+
+# Function to load OpenAI model and get responses
+
+def get_openai_response(question):
+    llm = OpenAI(openai_api_key = os.getenv("OPEN_API_KEY"), model_name = "text-davinci-003", temperature = 0.5)
+    response = llm(question)
+    return response
+
+# Initialize streamlit app
+st.set_page_config(page_title= "Q&A Demo")
+st.header("Langchain Application")
+
+# Get user input
+input = st.text_input("Input: ", key= input)
+response = get_openai_response(input)
+
+# How we got the input here:
+
+# 1. Sent the 'input' to the get_openai_response function
+# 2. OpenAI model was loaded with get_openai_response function, and calls for response using llm
+# (Instead of llm, we can also use predict message, predict functionality)
+# (We can also use chain or PromptTemplate instead of LLM)
+
+submit = st.button("Ask the question")
+
+# If the above 'ask' button is clicked -
+if submit:     # Means if submit is true
+    st.subheader("The response is ")
+    st.write(response)