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import json |
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class OpenaiStreamOutputer: |
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""" |
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Create chat completion - OpenAI API Documentation |
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* https://platform.openai.com/docs/api-reference/chat/create |
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""" |
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def __init__(self, owned_by="huggingface", model="mixtral-8x7b"): |
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self.default_data = { |
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"created": 1700000000, |
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"id": f"chatcmpl-{owned_by}", |
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"object": "chat.completion.chunk", |
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"model": model, |
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"choices": [], |
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} |
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def data_to_string(self, data={}, content_type=""): |
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data_str = f"{json.dumps(data)}" |
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return data_str |
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def output(self, content=None, content_type="Completions") -> str: |
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data = self.default_data.copy() |
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if content_type == "Role": |
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data["choices"] = [ |
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{ |
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"index": 0, |
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"delta": {"role": "assistant"}, |
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"finish_reason": None, |
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} |
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] |
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elif content_type in [ |
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"Completions", |
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"InternalSearchQuery", |
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"InternalSearchResult", |
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"SuggestedResponses", |
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]: |
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if content_type in ["InternalSearchQuery", "InternalSearchResult"]: |
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content += "\n" |
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data["choices"] = [ |
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{ |
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"index": 0, |
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"delta": {"content": content}, |
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"finish_reason": None, |
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} |
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] |
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elif content_type == "Finished": |
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data["choices"] = [ |
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{ |
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"index": 0, |
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"delta": {}, |
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"finish_reason": "stop", |
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} |
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] |
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else: |
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data["choices"] = [ |
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{ |
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"index": 0, |
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"delta": {}, |
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"finish_reason": None, |
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} |
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] |
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return self.data_to_string(data, content_type) |
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