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add.py

@@ -0,0 +1,23 @@
+print('add.py 실행 시작!')
+
+from transformers import pipeline
+import gradio as gr
+
+qna = pipeline("question-answering")
+
+def answer_question(question, context):
+    result = qna({
+        "question": question,
+        "context": context
+    })
+    if isinstance(result, list):
+        return result[0]['answer']
+    return result['answer']
+
+demo = gr.Interface(
+    fn=answer_question,
+    inputs=["text", "text"],
+    outputs="text",
+    title="Question Answering"
+)
+demo.launch()

requirements.txt

@@ -1 +1,3 @@
-huggingface_hub==0.25.2
+fastapi
+streamlit
+gradio