Add application file

app.py

@@ -0,0 +1,23 @@
+from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+import gradio as gr
+from datasets import load_dataset
+
+# Load the UFO dataset from Hugging Face in chunks
+dataset = load_dataset('your_dataset_name', split='train', streaming=True)
+
+mdl_name = "deepset/roberta-base-squad2"
+my_pipeline = pipeline('question-answering', model=mdl_name, tokenizer=mdl_name)
+
+def answer_question(question):
+    # Iterate over chunks of the dataset
+    for chunk in dataset:
+        # Convert the chunk to a string to use as the context
+        context = ' '.join([str(item) for item in chunk])
+        response = my_pipeline({'question': question, 'context': context})
+        if response['score'] > 0.5:  # Adjust this threshold as needed
+            return response
+
+    return "No answer found."
+
+gr.Interface(answer_question, inputs="text", outputs="text").launch()
+