Update app.py

app.py

@@ -4,7 +4,12 @@ import numpy as np
 from transformers import AutoModelForQuestionAnswering
 from transformers import pipeline
 from transformers import AutoTokenizer
-from spaces_info import description
+
+description = """ ### Demo ADHD QA Bot
+Example:
+- Question = What is ADHD?
+- Context = Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity.
+"""
 
 # Initializing the pipeline for the question answering model
 question_answerer = pipeline("question-answering", model="Only-Mike/ADHD_Test_qa_model")
@@ -13,14 +18,10 @@ def question_answer(question, context):
     # Answering from the trained model
     result = question_answerer(question=question, context=context)
     return result["answer"]
+    
+gr.Interface(fn=question_answer, description = description, inputs=["text", "text"], outputs=["text"]).launch()
+
 
-if __name__ == "__main__":
-    demo = gr.Blocks()
-    with demo:
-        with gr.Row():
-            gr.Markdown(value=description)
-    gr.Interface(fn=question_answer, inputs=["text", "text"], outputs=["text"]).launch()
-    demo.launch()