Update app.py

app.py

@@ -4,6 +4,7 @@ import numpy as np
 from transformers import AutoModelForQuestionAnswering
 from transformers import pipeline
 from transformers import AutoTokenizer
+from spaces_info import description
 
 # Initializing the pipeline for the question answering model
 question_answerer = pipeline("question-answering", model="Only-Mike/ADHD_Test_qa_model")
@@ -15,13 +16,5 @@ def question_answer(question, context):
 
 gr.Interface(fn=question_answer, inputs=["text", "text"], outputs=["text"]).launch()
 
-demo = gr.Blocks()
 
-with demo:
-    gr.Markdown('''### ADHD QA Bot
-    This space is build to showcase a fine-tuning of the distilbert-base-uncased and its abilities to answer questions.
-    Examples could be:
-    - Question = What is ADHD?
-    - Context = Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity.
-    ''')
-demo.launch()
+