Create app.py

app.py

@@ -0,0 +1,43 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load RoBERTa QA model
+qa_pipeline = pipeline(
+    "question-answering",
+    model="deepset/roberta-base-squad2",
+    tokenizer="deepset/roberta-base-squad2"
+)
+
+# Function for answering question
+def answer_question(context, question):
+    if context.strip() == "" or question.strip() == "":
+        return "Please enter both context and question."
+
+    result = qa_pipeline(
+        question=question,
+        context=context
+    )
+
+    return result["answer"]
+
+# Gradio Interface
+app = gr.Interface(
+    fn=answer_question,
+    inputs=[
+        gr.Textbox(
+            lines=8,
+            label="Context",
+            placeholder="Enter paragraph / context here..."
+        ),
+        gr.Textbox(
+            lines=2,
+            label="Question",
+            placeholder="Ask your question..."
+        )
+    ],
+    outputs=gr.Textbox(label="Answer"),
+    title="RoBERTa Question Answering System",
+    description="Ask questions from given context using RoBERTa model."
+)
+
+app.launch()