diff --git a/tortoise_tts/api.py b/api.py
similarity index 96%
rename from tortoise_tts/api.py
rename to api.py
index aa1f358..6aa94cf 100644
--- a/tortoise_tts/api.py
+++ b/api.py
@@ -8,18 +8,18 @@ import torch.nn.functional as F
 import progressbar
 import torchaudio
 
-from tortoise_tts.models.classifier import AudioMiniEncoderWithClassifierHead
-from tortoise_tts.models.cvvp import CVVP
-from tortoise_tts.models.diffusion_decoder import DiffusionTts
-from tortoise_tts.models.autoregressive import UnifiedVoice
+from models.classifier import AudioMiniEncoderWithClassifierHead
+from models.cvvp import CVVP
+from models.diffusion_decoder import DiffusionTts
+from models.autoregressive import UnifiedVoice
 from tqdm import tqdm
 
-from tortoise_tts.models.arch_util import TorchMelSpectrogram
-from tortoise_tts.models.clvp import CLVP
-from tortoise_tts.models.vocoder import UnivNetGenerator
-from tortoise_tts.utils.audio import load_audio, wav_to_univnet_mel, denormalize_tacotron_mel
-from tortoise_tts.utils.diffusion import SpacedDiffusion, space_timesteps, get_named_beta_schedule
-from tortoise_tts.utils.tokenizer import VoiceBpeTokenizer, lev_distance
+from models.arch_util import TorchMelSpectrogram
+from models.clvp import CLVP
+from models.vocoder import UnivNetGenerator
+from utils.audio import load_audio, wav_to_univnet_mel, denormalize_tacotron_mel
+from utils.diffusion import SpacedDiffusion, space_timesteps, get_named_beta_schedule
+from utils.tokenizer import VoiceBpeTokenizer, lev_distance
 
 
 pbar = None
diff --git a/tortoise_tts/data/riding_hood.txt b/data/riding_hood.txt
similarity index 100%
rename from tortoise_tts/data/riding_hood.txt
rename to data/riding_hood.txt
diff --git a/tortoise_tts/data/tokenizer.json b/data/tokenizer.json
similarity index 100%
rename from tortoise_tts/data/tokenizer.json
rename to data/tokenizer.json
diff --git a/tortoise_tts/do_tts.py b/do_tts.py
similarity index 100%
rename from tortoise_tts/do_tts.py
rename to do_tts.py
diff --git a/tortoise_tts/eval_multiple.py b/eval_multiple.py
similarity index 100%
rename from tortoise_tts/eval_multiple.py
rename to eval_multiple.py
diff --git a/tortoise_tts/is_this_from_tortoise.py b/is_this_from_tortoise.py
similarity index 100%
rename from tortoise_tts/is_this_from_tortoise.py
rename to is_this_from_tortoise.py
diff --git a/tortoise_tts/models/arch_util.py b/models/arch_util.py
similarity index 99%
rename from tortoise_tts/models/arch_util.py
rename to models/arch_util.py
index 3390153..832315c 100644
--- a/tortoise_tts/models/arch_util.py
+++ b/models/arch_util.py
@@ -5,7 +5,7 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 import torchaudio
-from tortoise_tts.models.xtransformers import ContinuousTransformerWrapper, RelativePositionBias
+from models.xtransformers import ContinuousTransformerWrapper, RelativePositionBias
 
 
 def zero_module(module):
diff --git a/tortoise_tts/models/autoregressive.py b/models/autoregressive.py
similarity index 99%
rename from tortoise_tts/models/autoregressive.py
rename to models/autoregressive.py
index aa2393a..6a91748 100644
--- a/tortoise_tts/models/autoregressive.py
+++ b/models/autoregressive.py
@@ -6,8 +6,8 @@ import torch.nn.functional as F
 from transformers import GPT2Config, GPT2PreTrainedModel, LogitsProcessorList
 from transformers.modeling_outputs import CausalLMOutputWithCrossAttentions
 from transformers.utils.model_parallel_utils import get_device_map, assert_device_map
-from tortoise_tts.models.arch_util import AttentionBlock
-from tortoise_tts.utils.typical_sampling import TypicalLogitsWarper
+from models.arch_util import AttentionBlock
+from utils.typical_sampling import TypicalLogitsWarper
 
 
 def null_position_embeddings(range, dim):
diff --git a/tortoise_tts/models/classifier.py b/models/classifier.py
similarity index 97%
rename from tortoise_tts/models/classifier.py
rename to models/classifier.py
index abd0ec8..c899773 100644
--- a/tortoise_tts/models/classifier.py
+++ b/models/classifier.py
@@ -3,7 +3,7 @@ import torch.nn as nn
 import torch.nn.functional as F
 from torch.utils.checkpoint import checkpoint
 
-from tortoise_tts.models.arch_util import Upsample, Downsample, normalization, zero_module, AttentionBlock
+from models.arch_util import Upsample, Downsample, normalization, zero_module, AttentionBlock
 
 
 class ResBlock(nn.Module):
diff --git a/tortoise_tts/models/clvp.py b/models/clvp.py
similarity index 96%
rename from tortoise_tts/models/clvp.py
rename to models/clvp.py
index c054cc6..1eec06a 100644
--- a/tortoise_tts/models/clvp.py
+++ b/models/clvp.py
@@ -3,9 +3,9 @@ import torch.nn as nn
 import torch.nn.functional as F
 from torch import einsum
 
-from tortoise_tts.models.arch_util import CheckpointedXTransformerEncoder
-from tortoise_tts.models.transformer import Transformer
-from tortoise_tts.models.xtransformers import Encoder
+from models.arch_util import CheckpointedXTransformerEncoder
+from models.transformer import Transformer
+from models.xtransformers import Encoder
 
 
 def exists(val):
diff --git a/tortoise_tts/models/cvvp.py b/models/cvvp.py
similarity index 97%
rename from tortoise_tts/models/cvvp.py
rename to models/cvvp.py
index fe441f9..0c9fd35 100644
--- a/tortoise_tts/models/cvvp.py
+++ b/models/cvvp.py
@@ -4,8 +4,8 @@ import torch.nn.functional as F
 from torch import einsum
 from torch.utils.checkpoint import checkpoint
 
-from tortoise_tts.models.arch_util import AttentionBlock
-from tortoise_tts.models.xtransformers import ContinuousTransformerWrapper, Encoder
+from models.arch_util import AttentionBlock
+from models.xtransformers import ContinuousTransformerWrapper, Encoder
 
 
 def exists(val):
diff --git a/tortoise_tts/models/diffusion_decoder.py b/models/diffusion_decoder.py
similarity index 99%
rename from tortoise_tts/models/diffusion_decoder.py
rename to models/diffusion_decoder.py
index d72315f..5fdf7ad 100644
--- a/tortoise_tts/models/diffusion_decoder.py
+++ b/models/diffusion_decoder.py
@@ -7,7 +7,7 @@ import torch.nn as nn
 import torch.nn.functional as F
 from torch import autocast
 
-from tortoise_tts.models.arch_util import normalization, AttentionBlock
+from models.arch_util import normalization, AttentionBlock
 
 
 def is_latent(t):
diff --git a/tortoise_tts/models/transformer.py b/models/transformer.py
similarity index 100%
rename from tortoise_tts/models/transformer.py
rename to models/transformer.py
diff --git a/tortoise_tts/models/vocoder.py b/models/vocoder.py
similarity index 100%
rename from tortoise_tts/models/vocoder.py
rename to models/vocoder.py
diff --git a/tortoise_tts/models/xtransformers.py b/models/xtransformers.py
similarity index 100%
rename from tortoise_tts/models/xtransformers.py
rename to models/xtransformers.py
diff --git a/tortoise_tts/read.py b/read.py
similarity index 100%
rename from tortoise_tts/read.py
rename to read.py
diff --git a/requirements.txt b/requirements.txt
index 91503ea..b971e61 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -7,6 +7,4 @@ inflect
 progressbar
 einops
 unidecode
-entmax
-scipy
-librosa
\ No newline at end of file
+entmax
\ No newline at end of file
diff --git a/tortoise_tts/results/various/desktop.ini b/results/various/desktop.ini
similarity index 100%
rename from tortoise_tts/results/various/desktop.ini
rename to results/various/desktop.ini
diff --git a/tortoise_tts/samples_generator.py b/samples_generator.py
similarity index 100%
rename from tortoise_tts/samples_generator.py
rename to samples_generator.py
diff --git a/tortoise_tts/sweep.py b/sweep.py
similarity index 100%
rename from tortoise_tts/sweep.py
rename to sweep.py
diff --git a/tortoise_tts/results/.gitattributes b/tortoise_tts/results/.gitattributes
deleted file mode 100644
index e935e39..0000000
--- a/tortoise_tts/results/.gitattributes
+++ /dev/null
@@ -1,5 +0,0 @@
-favorite_riding_hood.mp3 filter=lfs diff=lfs merge=lfs -text
-favorites filter=lfs diff=lfs merge=lfs -text
-riding_hood filter=lfs diff=lfs merge=lfs -text
-tacotron_comparison filter=lfs diff=lfs merge=lfs -text
-various filter=lfs diff=lfs merge=lfs -text
diff --git a/tortoise_tts/data/__init__.py b/utils/__init__.py
similarity index 100%
rename from tortoise_tts/data/__init__.py
rename to utils/__init__.py
diff --git a/tortoise_tts/utils/audio.py b/utils/audio.py
similarity index 99%
rename from tortoise_tts/utils/audio.py
rename to utils/audio.py
index e560c45..aad3a0f 100644
--- a/tortoise_tts/utils/audio.py
+++ b/utils/audio.py
@@ -6,7 +6,7 @@ import torchaudio
 import numpy as np
 from scipy.io.wavfile import read
 
-from tortoise_tts.utils.stft import STFT
+from utils.stft import STFT
 
 
 def load_wav_to_torch(full_path):
diff --git a/tortoise_tts/utils/diffusion.py b/utils/diffusion.py
similarity index 100%
rename from tortoise_tts/utils/diffusion.py
rename to utils/diffusion.py
diff --git a/tortoise_tts/utils/stft.py b/utils/stft.py
similarity index 100%
rename from tortoise_tts/utils/stft.py
rename to utils/stft.py
diff --git a/tortoise_tts/utils/tokenizer.py b/utils/tokenizer.py
similarity index 97%
rename from tortoise_tts/utils/tokenizer.py
rename to utils/tokenizer.py
index f018abd..ed7e4cd 100644
--- a/tortoise_tts/utils/tokenizer.py
+++ b/utils/tokenizer.py
@@ -3,7 +3,6 @@ import re
 import inflect
 import torch
 from tokenizers import Tokenizer
-from pathlib import Path
 
 
 # Regular expression matching whitespace:
@@ -166,8 +165,6 @@ def lev_distance(s1, s2):
 
 class VoiceBpeTokenizer:
     def __init__(self, vocab_file='data/tokenizer.json'):
-        vocab_file = str(Path(__file__).parent.parent / Path(vocab_file))
-        print(vocab_file)
         if vocab_file is not None:
             self.tokenizer = Tokenizer.from_file(vocab_file)
 
diff --git a/tortoise_tts/utils/typical_sampling.py b/utils/typical_sampling.py
similarity index 100%
rename from tortoise_tts/utils/typical_sampling.py
rename to utils/typical_sampling.py