Clean up silero_tts
This should only be used with --no-stream. The shared.still_streaming implementation was faulty by design: output_modifier should never be called when streaming is already over.
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@@ -189,7 +189,6 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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def generate_with_streaming(**kwargs):
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return Iteratorize(generate_with_callback, kwargs, callback=None)
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shared.still_streaming = True
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yield formatted_outputs(original_question, shared.model_name)
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with eval(f"generate_with_streaming({', '.join(generate_params)})") as generator:
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for output in generator:
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@@ -204,12 +203,10 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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break
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yield formatted_outputs(reply, shared.model_name)
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shared.still_streaming = False
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yield formatted_outputs(reply, shared.model_name)
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# Stream the output naively for FlexGen since it doesn't support 'stopping_criteria'
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else:
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shared.still_streaming = True
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for i in range(max_new_tokens//8+1):
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clear_torch_cache()
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with torch.no_grad():
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@@ -229,7 +226,6 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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if shared.soft_prompt:
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inputs_embeds, filler_input_ids = generate_softprompt_input_tensors(input_ids)
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shared.still_streaming = False
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yield formatted_outputs(reply, shared.model_name)
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finally:
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