diff --git a/requirements.txt b/requirements.txt
index b971e61..91503ea 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -7,4 +7,6 @@ inflect
 progressbar
 einops
 unidecode
-entmax
\ No newline at end of file
+entmax
+scipy
+librosa
\ No newline at end of file
diff --git a/setup.py b/setup.py
new file mode 100644
index 0000000..3162754
--- /dev/null
+++ b/setup.py
@@ -0,0 +1,22 @@
+from setuptools import setup, find_packages
+
+install_requires = [
+    "torch",
+    "torchaudio",
+    "rotary_embedding_torch",
+    "transformers",
+    "tokenizers",
+    "inflect",
+    "progressbar",
+    "einops",
+    "unidecode",
+    "entmax",
+    "scipy",
+    "librosa"
+]
+
+setup(
+    name="tortoise_tts",
+    packages=['tortoise_tts'],
+    install_requires=install_requires,
+)
\ No newline at end of file
diff --git a/tortoise_tts/__init__.py b/tortoise_tts/__init__.py
new file mode 100644
index 0000000..c9cc7ce
--- /dev/null
+++ b/tortoise_tts/__init__.py
@@ -0,0 +1 @@
+from .api import TextToSpeech
diff --git a/api.py b/tortoise_tts/api.py
similarity index 96%
rename from api.py
rename to tortoise_tts/api.py
index 6aa94cf..aa1f358 100644
--- a/api.py
+++ b/tortoise_tts/api.py
@@ -8,18 +8,18 @@ import torch.nn.functional as F
 import progressbar
 import torchaudio
 
-from models.classifier import AudioMiniEncoderWithClassifierHead
-from models.cvvp import CVVP
-from models.diffusion_decoder import DiffusionTts
-from models.autoregressive import UnifiedVoice
+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 tqdm import tqdm
 
-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
+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
 
 
 pbar = None
diff --git a/utils/__init__.py b/tortoise_tts/data/__init__.py
similarity index 100%
rename from utils/__init__.py
rename to tortoise_tts/data/__init__.py
diff --git a/data/riding_hood.txt b/tortoise_tts/data/riding_hood.txt
similarity index 100%
rename from data/riding_hood.txt
rename to tortoise_tts/data/riding_hood.txt
diff --git a/data/tokenizer.json b/tortoise_tts/data/tokenizer.json
similarity index 100%
rename from data/tokenizer.json
rename to tortoise_tts/data/tokenizer.json
diff --git a/do_tts.py b/tortoise_tts/do_tts.py
similarity index 100%
rename from do_tts.py
rename to tortoise_tts/do_tts.py
diff --git a/eval_multiple.py b/tortoise_tts/eval_multiple.py
similarity index 100%
rename from eval_multiple.py
rename to tortoise_tts/eval_multiple.py
diff --git a/is_this_from_tortoise.py b/tortoise_tts/is_this_from_tortoise.py
similarity index 100%
rename from is_this_from_tortoise.py
rename to tortoise_tts/is_this_from_tortoise.py
diff --git a/tortoise_tts/models/__init__.py b/tortoise_tts/models/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/models/arch_util.py b/tortoise_tts/models/arch_util.py
similarity index 99%
rename from models/arch_util.py
rename to tortoise_tts/models/arch_util.py
index 832315c..3390153 100644
--- a/models/arch_util.py
+++ b/tortoise_tts/models/arch_util.py
@@ -5,7 +5,7 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 import torchaudio
-from models.xtransformers import ContinuousTransformerWrapper, RelativePositionBias
+from tortoise_tts.models.xtransformers import ContinuousTransformerWrapper, RelativePositionBias
 
 
 def zero_module(module):
diff --git a/models/autoregressive.py b/tortoise_tts/models/autoregressive.py
similarity index 99%
rename from models/autoregressive.py
rename to tortoise_tts/models/autoregressive.py
index 6a91748..aa2393a 100644
--- a/models/autoregressive.py
+++ b/tortoise_tts/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 models.arch_util import AttentionBlock
-from utils.typical_sampling import TypicalLogitsWarper
+from tortoise_tts.models.arch_util import AttentionBlock
+from tortoise_tts.utils.typical_sampling import TypicalLogitsWarper
 
 
 def null_position_embeddings(range, dim):
diff --git a/models/classifier.py b/tortoise_tts/models/classifier.py
similarity index 97%
rename from models/classifier.py
rename to tortoise_tts/models/classifier.py
index c899773..abd0ec8 100644
--- a/models/classifier.py
+++ b/tortoise_tts/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 models.arch_util import Upsample, Downsample, normalization, zero_module, AttentionBlock
+from tortoise_tts.models.arch_util import Upsample, Downsample, normalization, zero_module, AttentionBlock
 
 
 class ResBlock(nn.Module):
diff --git a/models/clvp.py b/tortoise_tts/models/clvp.py
similarity index 96%
rename from models/clvp.py
rename to tortoise_tts/models/clvp.py
index 1eec06a..c054cc6 100644
--- a/models/clvp.py
+++ b/tortoise_tts/models/clvp.py
@@ -3,9 +3,9 @@ import torch.nn as nn
 import torch.nn.functional as F
 from torch import einsum
 
-from models.arch_util import CheckpointedXTransformerEncoder
-from models.transformer import Transformer
-from models.xtransformers import Encoder
+from tortoise_tts.models.arch_util import CheckpointedXTransformerEncoder
+from tortoise_tts.models.transformer import Transformer
+from tortoise_tts.models.xtransformers import Encoder
 
 
 def exists(val):
diff --git a/models/cvvp.py b/tortoise_tts/models/cvvp.py
similarity index 97%
rename from models/cvvp.py
rename to tortoise_tts/models/cvvp.py
index 0c9fd35..fe441f9 100644
--- a/models/cvvp.py
+++ b/tortoise_tts/models/cvvp.py
@@ -4,8 +4,8 @@ import torch.nn.functional as F
 from torch import einsum
 from torch.utils.checkpoint import checkpoint
 
-from models.arch_util import AttentionBlock
-from models.xtransformers import ContinuousTransformerWrapper, Encoder
+from tortoise_tts.models.arch_util import AttentionBlock
+from tortoise_tts.models.xtransformers import ContinuousTransformerWrapper, Encoder
 
 
 def exists(val):
diff --git a/models/diffusion_decoder.py b/tortoise_tts/models/diffusion_decoder.py
similarity index 99%
rename from models/diffusion_decoder.py
rename to tortoise_tts/models/diffusion_decoder.py
index 5fdf7ad..d72315f 100644
--- a/models/diffusion_decoder.py
+++ b/tortoise_tts/models/diffusion_decoder.py
@@ -7,7 +7,7 @@ import torch.nn as nn
 import torch.nn.functional as F
 from torch import autocast
 
-from models.arch_util import normalization, AttentionBlock
+from tortoise_tts.models.arch_util import normalization, AttentionBlock
 
 
 def is_latent(t):
diff --git a/models/transformer.py b/tortoise_tts/models/transformer.py
similarity index 100%
rename from models/transformer.py
rename to tortoise_tts/models/transformer.py
diff --git a/models/vocoder.py b/tortoise_tts/models/vocoder.py
similarity index 100%
rename from models/vocoder.py
rename to tortoise_tts/models/vocoder.py
diff --git a/models/xtransformers.py b/tortoise_tts/models/xtransformers.py
similarity index 100%
rename from models/xtransformers.py
rename to tortoise_tts/models/xtransformers.py
diff --git a/read.py b/tortoise_tts/read.py
similarity index 100%
rename from read.py
rename to tortoise_tts/read.py
diff --git a/results/.gitattributes b/tortoise_tts/results/.gitattributes
similarity index 100%
rename from results/.gitattributes
rename to tortoise_tts/results/.gitattributes
diff --git a/tortoise_tts/results/__init__.py b/tortoise_tts/results/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/results/various/desktop.ini b/tortoise_tts/results/various/desktop.ini
similarity index 100%
rename from results/various/desktop.ini
rename to tortoise_tts/results/various/desktop.ini
diff --git a/samples_generator.py b/tortoise_tts/samples_generator.py
similarity index 100%
rename from samples_generator.py
rename to tortoise_tts/samples_generator.py
diff --git a/sweep.py b/tortoise_tts/sweep.py
similarity index 100%
rename from sweep.py
rename to tortoise_tts/sweep.py
diff --git a/tortoise_tts/utils/__init__.py b/tortoise_tts/utils/__init__.py
new file mode 100644
index 0000000..fa1f97f
--- /dev/null
+++ b/tortoise_tts/utils/__init__.py
@@ -0,0 +1,4 @@
+from .audio import (
+    load_audio,
+    get_voices
+)
diff --git a/utils/audio.py b/tortoise_tts/utils/audio.py
similarity index 99%
rename from utils/audio.py
rename to tortoise_tts/utils/audio.py
index aad3a0f..e560c45 100644
--- a/utils/audio.py
+++ b/tortoise_tts/utils/audio.py
@@ -6,7 +6,7 @@ import torchaudio
 import numpy as np
 from scipy.io.wavfile import read
 
-from utils.stft import STFT
+from tortoise_tts.utils.stft import STFT
 
 
 def load_wav_to_torch(full_path):
diff --git a/utils/diffusion.py b/tortoise_tts/utils/diffusion.py
similarity index 100%
rename from utils/diffusion.py
rename to tortoise_tts/utils/diffusion.py
diff --git a/utils/stft.py b/tortoise_tts/utils/stft.py
similarity index 100%
rename from utils/stft.py
rename to tortoise_tts/utils/stft.py
diff --git a/utils/tokenizer.py b/tortoise_tts/utils/tokenizer.py
similarity index 97%
rename from utils/tokenizer.py
rename to tortoise_tts/utils/tokenizer.py
index ed7e4cd..f018abd 100644
--- a/utils/tokenizer.py
+++ b/tortoise_tts/utils/tokenizer.py
@@ -3,6 +3,7 @@ import re
 import inflect
 import torch
 from tokenizers import Tokenizer
+from pathlib import Path
 
 
 # Regular expression matching whitespace:
@@ -165,6 +166,8 @@ 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/utils/typical_sampling.py b/tortoise_tts/utils/typical_sampling.py
similarity index 100%
rename from utils/typical_sampling.py
rename to tortoise_tts/utils/typical_sampling.py
diff --git a/tortoise_tts/voices/__init__.py b/tortoise_tts/voices/__init__.py
new file mode 100644
index 0000000..e69de29