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Small simplification
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@ -140,10 +140,10 @@ def generate_reply(question, tokens, inference_settings, selected_model, eos_tok
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preset = infile.read()
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loaded_preset = inference_settings
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cuda = "" if args.cpu else ".cuda()"
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if not args.no_stream:
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input_ids = encode(question, 1)
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preset = preset.replace('max_new_tokens=tokens', 'max_new_tokens=1')
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cuda = "" if args.cpu else ".cuda()"
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for i in range(tokens):
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output = eval(f"model.generate(input_ids, {preset}){cuda}")
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reply = tokenizer.decode(output[0], skip_special_tokens=True)
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@ -162,7 +162,6 @@ def generate_reply(question, tokens, inference_settings, selected_model, eos_tok
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input_ids = output
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else:
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input_ids = encode(question, tokens)
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cuda = "" if args.cpu else ".cuda()"
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if eos_token is None:
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output = eval(f"model.generate(input_ids, {preset}){cuda}")
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else:
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