Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline
+
+# Replace this with your own checkpoint
+model_checkpoint = "huggingface-course/bert-finetuned-squad"
+model = pipeline("question-answering", model=model_checkpoint)
+
+def question_answer(context, question,model):
+  to_predict = [
+    {
+        "context": context,
+        "qas": [
+            {
+                "question": question,
+                "id": "0",
+            }
+                ],
+    }
+    ]
+  answers, probabilities = model.predict(to_predict)
+  return answers[0]['answer'][0]
+
+gr.Interface(fn=question_answer, inputs=["text", "text"], outputs=["textbox"]).launch()