mirror of
https://github.com/hwchase17/langchain
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a29cd89923
### Description
Implements synthetic data generation with the fields and preferences
given by the user. Adds showcase notebook.
Corresponding prompt was proposed for langchain-hub.
### Example
```
output = chain({"fields": {"colors": ["blue", "yellow"]}, "preferences": {"style": "Make it in a style of a weather forecast."}})
print(output)
# {'fields': {'colors': ['blue', 'yellow']},
'preferences': {'style': 'Make it in a style of a weather forecast.'},
'text': "Good morning! Today's weather forecast brings a beautiful combination of colors to the sky, with hues of blue and yellow gently blending together like a mesmerizing painting."}
```
### Twitter handle
@deepsense_ai @matt_wosinski
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
16 lines
459 B
Python
16 lines
459 B
Python
from langchain.prompts.prompt import PromptTemplate
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sentence_template = """Given the following fields, create a sentence about them.
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Make the sentence detailed and interesting. Use every given field.
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If any additional preferences are given, use them during sentence construction as well.
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Fields:
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{fields}
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Preferences:
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{preferences}
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Sentence:
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"""
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SENTENCE_PROMPT = PromptTemplate(
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template=sentence_template, input_variables=["fields", "preferences"]
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)
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