Remove nltk dep
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@@ -1,2 +1 @@
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vastai-sdk
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vastai-sdk
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nltk
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@@ -1,4 +1,3 @@
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import nltk
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import random
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import random
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import os
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import os
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@@ -21,9 +20,6 @@ MODEL_ERROR_LOG_MSGS = [
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MODEL_INFO_LOG_MSGS = [
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MODEL_INFO_LOG_MSGS = [
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]
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]
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nltk.download("words")
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WORD_LIST = nltk.corpus.words.words()
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def request_parser(request):
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def request_parser(request):
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data = request
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data = request
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if request.get("input") is not None:
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if request.get("input") is not None:
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@@ -32,6 +28,14 @@ def request_parser(request):
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def completions_benchmark_generator() -> dict:
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def completions_benchmark_generator() -> dict:
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# extract words from the python source code of the worker to create a list of words for generating prompts
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WORD_LIST = []
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with open(__file__, 'r') as f:
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for line in f:
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WORD_LIST.extend(line.strip().split())
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prompt = " ".join(random.choices(WORD_LIST, k=int(250)))
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prompt = " ".join(random.choices(WORD_LIST, k=int(250)))
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model = os.environ.get("MODEL_NAME")
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model = os.environ.get("MODEL_NAME")
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if not model:
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if not model:
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