Update app.py

app.py

@@ -1,13 +1,12 @@
 import gradio as gr
 from transformers import pipeline
 
+# Use a pipeline as a high-level helper
 pipe = pipeline("question-answering", model="google-bert/bert-large-uncased-whole-word-masking-finetuned-squad")
+
 # Define the function to answer questions
 def get_answer(text):
-    result = qa_pipeline({
-        "question": text,
-        "context": knowledge_base_text
-    })
+    result = pipe(question=text, context=knowledge_base_text)
     return result["answer"]
 
 # Define the Gradio interface
@@ -41,9 +40,6 @@ knowledge_base_text = """
 - for SAP , wifi , network related issue , you should contact Md. Monirul Islam & his contact number 01730372426
 """
 
-
-
-
 iface = gr.Interface(
     fn=chatbot_interface,
     inputs="text",
@@ -51,9 +47,7 @@ iface = gr.Interface(
     css="footer{display:none !important}",
     title="British American Tobacco Bangladesh",
     description="- powered by IDT",
-    theme='Taithrah/Minimal'
-    
+    theme='compact'
 )
 
-
 iface.launch()