Create app.py

app.py

@@ -0,0 +1,24 @@
+from transformers import pipeline
+import gradio as gr
+
+# Set up the pipeline for question answering
+pipe = pipeline("question-answering", model="Intel/dynamic_tinybert")
+
+def answer_question(context, question):
+    # Use the pipeline to get the answer
+    result = pipe(question=question, context=context)
+    return f'<span style="color:red">{result["answer"]}</span>'  # Wrap the answer in HTML span tag with red colour
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=answer_question,
+    inputs=[
+        gr.Textbox(label="Please type or copy and paste the Context"),
+        gr.Textbox(label="Question")
+    ],
+    outputs=gr.HTML(label="Answer")  # Set output as HTML
+)
+
+# Launch the app
+iface.launch()
+