Update app.py

app.py

@@ -1,5 +1,4 @@
-pip install langchain
-
+# QandA Chatbot - attempt 1
 from langchain.llms import OpenAI
 
 # from dotenv import load_dotenv
@@ -26,19 +25,61 @@ def get_openai_response(question):
 
 ## streamlit app
 
-st.set_page_config(page_title="Trail Demo")
-st.header("Sample")
-st.write("UPDATE: This app uses the 'gpt-3.5-turbo-instruct' model through Langchain")
+st.set_page_config(page_title="QandA Demo")
+st.header("QandA - Langchain Application")
+st.write("UPDATE: This app uses the 'gpt-3.5-turbo-instruct' model through Langchain to answer queries")
 
 
-# input = st.text_input("Enter your query: ", key=input)
-uploaded_file = st.file_uploader('Choose your .pdf file', type="pdf")
-if uploaded_file is not None:
-    df = extract_data(uploaded_file)
-response = get_openai_response(df)
+input = st.text_input("Enter your query: ", key=input)
+response = get_openai_response(input)
 
 
 submit = st.button("Generate")
 if submit:
     st.subheader("The response is")
-    st.write(response)
+    st.write(response)
+
+# pip install langchain
+
+# from langchain.llms import OpenAI
+
+# # from dotenv import load_dotenv
+# import os
+
+# # take environment variables from .env
+# # load_dotenv()
+
+# import streamlit as st
+
+# # load OpenAI model and get a response
+
+
+# def get_openai_response(question):
+#     llm = OpenAI(
+#         openai_api_key=os.getenv("OPEN_API_KEY"),
+#         model_name="gpt-3.5-turbo-instruct",
+#         temperature=0.6,
+#     )
+#     response = llm(question)
+#     return response
+#     # modify with chain and other stuff
+
+
+# ## streamlit app
+
+# st.set_page_config(page_title="Trail Demo")
+# st.header("Sample")
+# st.write("UPDATE: This app uses the 'gpt-3.5-turbo-instruct' model through Langchain")
+
+
+# # input = st.text_input("Enter your query: ", key=input)
+# uploaded_file = st.file_uploader('Choose your .pdf file', type="pdf")
+# if uploaded_file is not None:
+#     df = extract_data(uploaded_file)
+# response = get_openai_response(df)
+
+
+# submit = st.button("Generate")
+# if submit:
+#     st.subheader("The response is")
+#     st.write(response)