e768098d0e
tools_continuous_delivery / Private PyPI non-main branch release (push) Has been skipped
tools_continuous_delivery / Private PyPI main branch release (push) Failing after 2m42s
Publish Promptflow Doc / Build (push) Has been cancelled
Publish Promptflow Doc / Deploy (push) Has been cancelled
Flake8 Lint / flake8 (push) Has been cancelled
Spell check CI / Spell_Check (push) Has been cancelled
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
import asyncio
|
|
|
|
from workflow_multi_node import ChatInput, create_workflow
|
|
|
|
|
|
async def main():
|
|
# Single-turn test
|
|
workflow = create_workflow()
|
|
result = await workflow.run(
|
|
ChatInput(
|
|
question="what NLP tasks does it perform well?",
|
|
pdf_url="https://arxiv.org/pdf/1810.04805.pdf",
|
|
)
|
|
)
|
|
output = result.get_outputs()[0]
|
|
print(f"Answer: {output['answer']}")
|
|
print(f"Context: {output['context']}")
|
|
|
|
# Multi-turn test
|
|
workflow2 = create_workflow()
|
|
result2 = await workflow2.run(
|
|
ChatInput(
|
|
question="Can you elaborate on the fine-tuning approach?",
|
|
pdf_url="https://arxiv.org/pdf/1810.04805.pdf",
|
|
chat_history=[
|
|
{
|
|
"inputs": {"question": "what NLP tasks does it perform well?"},
|
|
"outputs": {"answer": output["answer"]},
|
|
}
|
|
],
|
|
)
|
|
)
|
|
output2 = result2.get_outputs()[0]
|
|
print(f"\nFollow-up Answer: {output2['answer']}")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
asyncio.run(main())
|