Upload app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Initialize the question-answering pipeline
+qa_pipeline = pipeline("question-answering")
+
+
+def answer_question(context, question):
+    result = qa_pipeline(question=question, context=context)
+    return result['answer']
+
+
+def process(context_file, question):
+    # Read the context from the uploaded file
+    with open(context_file.name, 'r') as file:
+        context = file.read()
+
+    answer = answer_question(context, question)
+    return answer
+
+
+# Gradio interface
+demo = gr.Interface(
+    fn=process,
+    inputs=[gr.File(label="Upload Context File"), gr.Textbox(label="Question")],
+    outputs=[gr.Textbox(label="Answer")],
+    title="Question Answering",
+    description="Upload a file with context and ask a question. The answer will be displayed."
+)
+
+if __name__ == "__main__":
+    demo.launch()