Updated to use Datasets instead of locally stored file

app.py

@@ -1,19 +1,19 @@
 import os
 import streamlit as st
-import docx
+from datasets import load_dataset
 from huggingface_hub import InferenceClient
 
 api_key = os.getenv("HF_API_KEY")
 client = InferenceClient(api_key=api_key)
-file_path = "Adrega_P.I._User_Manual.docx"
+dataset = load_dataset("alpha_test_data.txt", split="test")
 
-def read_docx(file_path): 
-    doc = docx.Document(file_path) 
+def read_dataset(dataset): 
     text = [] 
-    for paragraph in doc.paragraphs: 
-        text.append(paragraph.text) 
+    from item in dataset: 
+        text.append(item['text'])
     return "\n".join(text)
-context = read_docx(file_path)
+
+context = read_dataset(dataset)
 
 st.title("Adrega AI Help")
 user_input = st.text_input('Ask me a question')