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Update app.py
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app.py
CHANGED
@@ -49,7 +49,7 @@ def create_response_untethered_paraphrased(input_str,
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input_ids = tokenizer.encode(input_str + tokenizer.eos_token, return_tensors="pt")
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#output_ids = fine_tuned_model.generate(input_ids,do_sample=True, max_length=100, temperature=0.2, top_p=0.9, repetition_penalty=1.5,num_return_sequences=6)
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#output_ids = untethered_paraphrased_model.generate(input_ids,do_sample=do_sample, max_length=100, temperature=temperature, top_p=top_p, top_k=top_k, repetition_penalty=repetition_penalty,num_return_sequences=num_return_sequences, num_beams = num_beams)
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output_ids = untethered_paraphrased_model.generate(input_ids,do_sample=True, max_length=100, temperature=temperature, top_p=top_p, repetition_penalty=repetition_penalty,num_return_sequences=num_return_sequences
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outputs = ""
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for output_id in output_ids:
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output = tokenizer.decode(output_id, skip_special_tokens=True)
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input_ids = tokenizer.encode(input_str + tokenizer.eos_token, return_tensors="pt")
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#output_ids = fine_tuned_model.generate(input_ids,do_sample=True, max_length=100, temperature=0.2, top_p=0.9, repetition_penalty=1.5,num_return_sequences=6)
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#output_ids = untethered_paraphrased_model.generate(input_ids,do_sample=do_sample, max_length=100, temperature=temperature, top_p=top_p, top_k=top_k, repetition_penalty=repetition_penalty,num_return_sequences=num_return_sequences, num_beams = num_beams)
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output_ids = untethered_paraphrased_model.generate(input_ids,do_sample=True, max_length=100, temperature=temperature, top_p=top_p, top_k=top_k, repetition_penalty=repetition_penalty,num_return_sequences=num_return_sequences)
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outputs = ""
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for output_id in output_ids:
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output = tokenizer.decode(output_id, skip_special_tokens=True)
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