Update app.py

app.py

@@ -1,46 +1,3 @@
-"""
-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="QandA Demo")
-st.header("Langchain Application")
-
-input = st.text_input("Input: ", key=input)
-response = get_openai_response(input)
-
-
-submit = st.button("Generate")
-if submit:
-    st.subheader("The response is")
-    st.write(response)
-"""
-
-
-
-
 import os 
 import re
 import pdfminer
@@ -68,7 +25,7 @@ def preprocess_text(element):
 
 def get_openai_response(text, length=100, model="gpt-3.5-turbo-instruct"):
     summarizer = pipeline("summarization", model=model)
-    return summarizer(text, max_length=length)
+    return summarizer(text, min_length = length)
 
 ## Streamlit app