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https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-22 08:07:56 +01:00
Implement echo/suffix parameters
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cee099f131
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3d59346871
@ -349,8 +349,8 @@ def completions_common(body: dict, is_legacy: bool = False, stream=False):
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generate_params['stream'] = stream
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requested_model = generate_params.pop('model')
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logprob_proc = generate_params.pop('logprob_proc', None)
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# generate_params['suffix'] = body.get('suffix', generate_params['suffix'])
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generate_params['echo'] = body.get('echo', generate_params['echo'])
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suffix = body['suffix'] if body['suffix'] else ''
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echo = body['echo']
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if not stream:
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prompt_arg = body[prompt_str]
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@ -373,6 +373,7 @@ def completions_common(body: dict, is_legacy: bool = False, stream=False):
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except KeyError:
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prompt = decode(prompt)[0]
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prefix = prompt if echo else ''
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token_count = len(encode(prompt)[0])
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total_prompt_token_count += token_count
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@ -393,7 +394,7 @@ def completions_common(body: dict, is_legacy: bool = False, stream=False):
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respi = {
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"index": idx,
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"finish_reason": stop_reason,
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"text": answer,
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"text": prefix + answer + suffix,
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"logprobs": {'top_logprobs': [logprob_proc.token_alternatives]} if logprob_proc else None,
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}
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@ -425,6 +426,7 @@ def completions_common(body: dict, is_legacy: bool = False, stream=False):
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else:
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raise InvalidRequestError(message="API Batched generation not yet supported.", param=prompt_str)
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prefix = prompt if echo else ''
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token_count = len(encode(prompt)[0])
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def text_streaming_chunk(content):
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@ -444,7 +446,7 @@ def completions_common(body: dict, is_legacy: bool = False, stream=False):
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return chunk
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yield text_streaming_chunk('')
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yield text_streaming_chunk(prefix)
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# generate reply #######################################
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debug_msg({'prompt': prompt, 'generate_params': generate_params})
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@ -472,7 +474,7 @@ def completions_common(body: dict, is_legacy: bool = False, stream=False):
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if token_count + completion_token_count >= generate_params['truncation_length'] or completion_token_count >= max_tokens:
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stop_reason = "length"
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chunk = text_streaming_chunk('')
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chunk = text_streaming_chunk(suffix)
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chunk[resp_list][0]["finish_reason"] = stop_reason
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chunk["usage"] = {
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"prompt_tokens": token_count,
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@ -57,7 +57,7 @@ class CompletionRequestParams(BaseModel):
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suffix: str | None = None
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temperature: float | None = 1
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top_p: float | None = 1
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user: str | None = None
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user: str | None = Field(default=None, description="Unused parameter.")
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class CompletionRequest(GenerationOptions, CompletionRequestParams):
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