Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+
+from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+
+model_name = "deepset/roberta-base-squad2"
+
+nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
+
+def chat(context, question):
+  QA_input = {
+      "question" : question,
+      "context" : context
+  }
+  res = nlp(QA_input)
+
+  return res['answer']
+
+screen = gr.Interface(
+    fn = chat,
+    inputs = [gr.Textbox(lines = 8, placeholder = "Enter your context here 👉"), gr.Textbox(lines = 2, placeholder = "Enter your question here 👉")],
+    outputs = gr.Textbox(lines = 10, placeholder = "Your answer will be here soon 🚀"),
+    title="Facilitating the QnA with roberta-base-squad2 👩🏻‍💻📓✍🏻💡",
+    description="This app aims to facilitate the simple QnA with the provided context💡",
+    theme="soft",
+)
+
+screen.launch()