Create app.py

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+import numpy as np
+from transformers import pipeline
+
+title = "Question Answering System"
+description = """
+Click on examples below to try them
+
+<img src="https://huggingface.co/spaces/course-demos/Rick_and_Morty_QA/resolve/main/rick.png" width=200px>
+"""
+
+article = "Check out [my github repository](https://github.com/Neural-Net-Rahul/Question-Answering-system-using-fine-tuned-hugging-face-transformer) and my [fine tuned model](https://huggingface.co/neural-net-rahul/bert-finetuned-squad)"
+
+textbox1 = gr.Textbox(label="Context :", placeholder="The New Yorker noted that by the time Zuckerberg began classes at Harvard in 2002, he had already achieved a reputation as a programming prodigy.", lines=3)
+textbox2 = gr.Textbox(label="Question :", placeholder="Who achieved reputation as a programming prodigy?", lines=3)
+textbox3 = gr.Textbox(label='Answer :', placeholder="Zuckerberg",lines=5)
+
+model = pipeline('question-answering',model='neural-net-rahul/bert-finetuned-squad')
+
+def ques_ans(context,question):
+  return model(question=question, context=context)['answer']
+
+
+gr.Interface(
+    fn=ques_ans,
+    inputs=[textbox1,textbox2],
+    outputs=textbox3,
+    title=title,
+    description=description,
+    article=article,
+    examples=[["Zuckerberg began using computers and writing software in middle school. In high school, he built a program that allowed all the computers between his house and his father's dental office to communicate with each other.","What does the program do?"],["Modi completed his higher secondary education in Vadnagar in 1967; his teachers described him as an average student and a keen, gifted debater with an interest in theatre. He preferred playing larger-than-life characters in theatrical productions, which has influenced his political image","Modi was good in which art?"]]
+).launch(share=True)