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100 lines
2.9 KiB
YAML
100 lines
2.9 KiB
YAML
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
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inputs:
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url:
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type: string
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default: https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h
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outputs:
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category:
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type: string
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reference: ${convert_to_dict.output.category}
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evidence:
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type: string
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reference: ${convert_to_dict.output.evidence}
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nodes:
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- name: fetch_text_content_from_url
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type: python
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source:
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type: code
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path: fetch_text_content_from_url.py
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inputs:
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url: ${inputs.url}
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- name: summarize_text_content
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use_variants: true
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- name: prepare_examples
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type: python
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source:
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type: code
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path: prepare_examples.py
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inputs: {}
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- name: classify_with_llm
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type: llm
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source:
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type: code
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path: classify_with_llm.jinja2
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inputs:
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# This is to easily switch between openai and azure openai.
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# deployment_name is required by azure openai, model is required by openai.
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deployment_name: gpt-35-turbo
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model: gpt-3.5-turbo
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max_tokens: '128'
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temperature: '0.2'
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url: ${inputs.url}
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text_content: ${summarize_text_content.output}
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examples: ${prepare_examples.output}
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connection: open_ai_connection
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api: chat
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- name: convert_to_dict
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type: python
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source:
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type: code
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path: convert_to_dict.py
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inputs:
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input_str: ${classify_with_llm.output}
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additional_includes:
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- ../web-classification/classify_with_llm.jinja2
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- ../web-classification/convert_to_dict.py
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- ../web-classification/fetch_text_content_from_url.py
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- ../web-classification/prepare_examples.py
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- ../web-classification/summarize_text_content.jinja2
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- ../web-classification/summarize_text_content__variant_1.jinja2
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node_variants:
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summarize_text_content:
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default_variant_id: variant_0
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variants:
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variant_0:
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node:
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type: llm
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source:
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type: code
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path: summarize_text_content.jinja2
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inputs:
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# This is to easily switch between openai and azure openai.
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# deployment_name is required by azure openai, model is required by openai.
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deployment_name: gpt-35-turbo
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model: gpt-3.5-turbo
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max_tokens: '128'
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temperature: '0.2'
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text: ${fetch_text_content_from_url.output}
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connection: open_ai_connection
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api: chat
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variant_1:
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node:
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type: llm
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source:
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type: code
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path: summarize_text_content__variant_1.jinja2
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inputs:
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# This is to easily switch between openai and azure openai.
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# deployment_name is required by azure openai, model is required by openai.
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deployment_name: gpt-35-turbo
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model: gpt-3.5-turbo
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max_tokens: '256'
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temperature: '0.3'
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text: ${fetch_text_content_from_url.output}
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connection: open_ai_connection
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api: chat
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environment:
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python_requirements_txt: requirements.txt
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