Updated fixed context

app.py

@@ -1,3 +1,4 @@
+
 import gradio as gr
 import numpy as np
 import torch
@@ -41,16 +42,22 @@ def QA_function(context, question):
 
 # a) Get predictions
 nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
+fixed_context = """Ishaan is 6 year old kid. he is very good in football. He is very good sports person.
+he is smart kid. He can run very fast. as fast as 10 meters in 1 minute. 
+He goes to Vidyani ketan school. He goes to school from 8 am to 3:30 pm.
+Ishaan has many friends. 
+Vineet is his brother. """
 
 def get_answer(context,question):
     QA_input = {
         'question': question,
-        'context': context 
+        'context': fixed_context 
     }
     res = nlp(QA_input)
     return res['answer']
 
-gradio_ui = gr.Interface(get_answer, [gr.inputs.Textbox(lines=7, label="Context"), gr.inputs.Textbox(label="Question")], gr.outputs.Textbox(label="Answer"))
+# gradio_ui = gr.Interface(get_answer, [gr.inputs.Textbox(lines=7, label="Context"), gr.inputs.Textbox(label="Question")], gr.outputs.Textbox(label="Answer"))
+gradio_ui = gr.Interface(get_answer, [gr.inputs.Textbox(label="Question")], gr.outputs.Textbox(label="Answer"))
 
 gradio_ui.launch()