Replaced file-context with text-context to see if performance is much better.

app.py

@@ -4,12 +4,12 @@ import docx
 #from datasets import load_dataset
 
 file_path = "Adrega_P.I._User_Manual.docx"
-def read_docx(file_path):
-    doc = docx.Document(file_path) 
-    text = [] 
-    for paragraph in doc.paragraphs: 
-        text.append(paragraph.text) 
-    return "\n".join(text)
+#def read_docx(file_path):
+#    doc = docx.Document(file_path) 
+#    text = [] 
+#    for paragraph in doc.paragraphs: 
+#        text.append(paragraph.text) 
+#    return "\n".join(text)
 
 #pipe = pipeline("question-answering")
 #pipe = pipeline("text-generation")
@@ -17,9 +17,9 @@ pipe = pipeline("question-answering", model="deepset/roberta-base-squad2")
 
 st.title("Adrega AI Help")
 #dataset = load_dataset("andreska/adregadocs", split="test")
-context = read_docx(file_path)
+#context = read_docx(file_path)
 #context = dataset[0]["text"]
-#context = "Adrega is a very cool company, that implements AI. Rett fra Rio is a company that specializes in body waxing and is owned by Cintia" #dataset[0]["text"]
+context = "Adrega is a very cool company, that implements AI. Rett fra Rio is a company that specializes in body waxing and is owned by Cintia" #dataset[0]["text"]
 
 user_input = st.text_input('Ask me a question')
 if st.button("Submit"):