Added adrega documentation as context

app.py

@@ -1,9 +1,11 @@
 import streamlit as st
 from transformers import pipeline
 
-qa_pipeline = pipeline("question-answering")
+#qa_pipeline = pipeline("question-answering")
+qa_pipeline = pipeline("question-answering", model="microsoft/Phi-3-mini-4k-instruct")
 st.title("Adrega AI Help")
-context = """
+context = dataset[0]["text"]
+"""context = """
 Adrega PI Help AI is Adregas fourth attempt to generate AI based help 
 content for the users. First we tried Gemini, but it was not very cost
 effective and we werent able to use if for reading help docuemntation
@@ -11,6 +13,9 @@ and answer based on it. Then we tried GPT-4all, but it was very slow and since
 running locally it ate up a lot of precious resources. Finally we tried 
 Hugging Face, and this far, it seems to be working.
 """
+"""
+
+dataset = load_dataset("andreska/adregadocs", split="train")
 
 user_input = st.text_input('Ask me a question')
 if st.button("Submit"):