Update CodeGeneratorAtomicFlow.py
Browse files- CodeGeneratorAtomicFlow.py +13 -10
CodeGeneratorAtomicFlow.py
CHANGED
@@ -9,6 +9,14 @@ from dataclasses import dataclass
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class CodeGeneratorAtomicFlow(OpenAIChatAtomicFlow):
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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@classmethod
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def instantiate_from_config(cls, config):
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@@ -22,18 +30,13 @@ class CodeGeneratorAtomicFlow(OpenAIChatAtomicFlow):
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# ~~~ Instantiate flow ~~~
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return cls(**kwargs)
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def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
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Make sure your response is in the following format:
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Response Format:
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{
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"language_of_code": "language of the code",
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"code": "String of the code corresponding to the goal",
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}
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"""
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if 'goal' in input_data:
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input_data['goal'] += hint_for_model
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api_output = super().run(input_data)["api_output"].strip()
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try:
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response = json.loads(api_output)
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class CodeGeneratorAtomicFlow(OpenAIChatAtomicFlow):
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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self.hint_for_model = """
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Make sure your response is in the following format:
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Response Format:
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{
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"language_of_code": "language of the code",
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"code": "String of the code corresponding to the goal",
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}
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"""
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@classmethod
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def instantiate_from_config(cls, config):
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# ~~~ Instantiate flow ~~~
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return cls(**kwargs)
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def _update_input(self, input_data: Dict[str, Any]):
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if 'goal' in input_data:
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input_data['goal'] += self.hint_for_model
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def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
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self._update_input(input_data)
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api_output = super().run(input_data)["api_output"].strip()
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try:
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response = json.loads(api_output)
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