Adding application and requirements file

app.py

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+import gradio as gr
+from transformers import pipeline
+
+def qa_interface(context, question):
+    model_checkpoint = "AirrStorm/BERT-SQUAD-QA-Finetuned"
+    question_answerer = pipeline("question-answering", model=model_checkpoint)
+    answer = question_answerer(question=question, context=context)
+    return answer['answer']
+
+# Define inputs
+inputs = [
+    gr.Textbox(
+        lines=10, 
+        label="Context", 
+        placeholder="Enter the context where the answer can be found...",
+    ),
+    gr.Textbox(
+        label="Question", 
+        placeholder="Enter a specific question based on the provided context..."
+    )
+]
+
+# Define example inputs
+examples = [
+    [
+        "The Eiffel Tower is one of the most famous landmarks in Paris, France. It was constructed in 1889 and stands approximately 330 meters tall.",
+        "When was the Eiffel Tower constructed?"
+    ],
+    [
+        "Python is a versatile programming language known for its simplicity and readability. It is widely used for web development, data analysis, artificial intelligence, and more.",
+        "What is Python known for?"
+    ],
+    [
+        "The Great Wall of China stretches over 13,000 miles and was built to protect Chinese states from invasions. It is considered one of the greatest architectural achievements in history.",
+        "How long is the Great Wall of China?"
+    ],
+]
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=qa_interface,
+    inputs=inputs,
+    outputs=gr.Textbox(
+        label="Answer",
+        placeholder="The model's answer will appear here."
+    ),
+    title="Question Answering (QA) Tool",
+    description=(
+        "This tool uses a Question Answering (QA) model to find and return the most relevant answer "
+        "to a specific question based on the provided context.\n\n"
+        "Provide a context paragraph and a related question to get started!"
+    ),
+    examples=examples,
+    theme="hugging-face",  # Optional theme for a polished look
+)
+
+interface.launch()

requirements.txt

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+transformers
+torch
+SentencePiece
+sacremoses