diff --git a/poetry.lock b/poetry.lock
index 104a836..b113ccf 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,5 +1,16 @@
 # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.9.3"
@@ -10,6 +21,26 @@ files = [
     {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"},
 ]
 
+[[package]]
+name = "anyio"
+version = "4.2.0"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
+    {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
+]
+
+[package.dependencies]
+idna = ">=2.8"
+sniffio = ">=1.1"
+
+[package.extras]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
+
 [[package]]
 name = "audioread"
 version = "3.0.1"
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+description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
+optional = false
+python-versions = ">=3.8"
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+
 [[package]]
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 version = "3.13.1"
@@ -572,13 +622,13 @@ typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "fsspec"
-version = "2023.10.0"
+version = "2023.12.2"
 description = "File-system specification"
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 python-versions = ">=3.8"
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 [package.extras]
@@ -605,6 +655,17 @@ smb = ["smbprotocol"]
 ssh = ["paramiko"]
 tqdm = ["tqdm"]
 
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+version = "0.14.0"
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 html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
-source = ["Cython (>=0.29.35)"]
+source = ["Cython (>=3.0.7)"]
 
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 [[package]]
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 ]
 
 [package.dependencies]
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+numpy = ">=1.22.4,<1.29.0"
 
 [package.extras]
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+test = ["asv", "gmpy2", "hypothesis", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+
+[[package]]
+name = "sniffio"
+version = "1.3.0"
+description = "Sniff out which async library your code is running under"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
 
 [[package]]
 name = "soundfile"
@@ -1740,6 +2138,23 @@ numpy = "*"
 docs = ["linkify-it-py", "myst-parser", "sphinx", "sphinx-book-theme"]
 test = ["pytest"]
 
+[[package]]
+name = "starlette"
+version = "0.35.1"
+description = "The little ASGI library that shines."
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
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+
+[package.extras]
+full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
+
 [[package]]
 name = "sympy"
 version = "1.12"
@@ -1795,33 +2210,44 @@ files = [
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 ]
 
+[[package]]
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+description = "A lil' TOML parser"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "torch"
-version = "2.1.0"
+version = "2.1.2"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
@@ -1829,43 +2255,56 @@ filelock = "*"
 fsspec = "*"
 jinja2 = "*"
 networkx = "*"
+nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.18.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
+triton = {version = "2.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 typing-extensions = "*"
 
 [package.extras]
+dynamo = ["jinja2"]
 opt-einsum = ["opt-einsum (>=3.3)"]
 
 [[package]]
 name = "torchaudio"
-version = "2.1.0"
+version = "2.1.2"
 description = "An audio package for PyTorch"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "torchaudio-2.1.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:03b4cf02ee468b25280f9593cca95a32b517a88512a1e5f41129e24cd0c17e64"},
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 ]
 
 [package.dependencies]
-torch = "2.1.0"
+torch = "2.1.2"
 
 [[package]]
 name = "torchcrepe"
@@ -1905,15 +2344,40 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "triton"
+version = "2.1.0"
+description = "A language and compiler for custom Deep Learning operations"
+optional = false
+python-versions = "*"
+files = [
+    {file = "triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:66439923a30d5d48399b08a9eae10370f6c261a5ec864a64983bae63152d39d7"},
+    {file = "triton-2.1.0-0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:919b06453f0033ea52c13eaf7833de0e57db3178d23d4e04f9fc71c4f2c32bf8"},
+    {file = "triton-2.1.0-0-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ae4bb8a91de790e1866405211c4d618379781188f40d5c4c399766914e84cd94"},
+    {file = "triton-2.1.0-0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:39f6fb6bdccb3e98f3152e3fbea724f1aeae7d749412bbb1fa9c441d474eba26"},
+    {file = "triton-2.1.0-0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:21544e522c02005a626c8ad63d39bdff2f31d41069592919ef281e964ed26446"},
+    {file = "triton-2.1.0-0-pp37-pypy37_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:143582ca31dd89cd982bd3bf53666bab1c7527d41e185f9e3d8a3051ce1b663b"},
+    {file = "triton-2.1.0-0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:82fc5aeeedf6e36be4e4530cbdcba81a09d65c18e02f52dc298696d45721f3bd"},
+    {file = "triton-2.1.0-0-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:81a96d110a738ff63339fc892ded095b31bd0d205e3aace262af8400d40b6fa8"},
+]
+
+[package.dependencies]
+filelock = "*"
+
+[package.extras]
+build = ["cmake (>=3.18)", "lit"]
+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
+tutorials = ["matplotlib", "pandas", "tabulate"]
+
 [[package]]
 name = "typing-extensions"
-version = "4.8.0"
+version = "4.9.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
-    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
+    {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
+    {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
 ]
 
 [[package]]
@@ -1932,7 +2396,28 @@ brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "uvicorn"
+version = "0.26.0"
+description = "The lightning-fast ASGI server."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "uvicorn-0.26.0-py3-none-any.whl", hash = "sha256:cdb58ef6b8188c6c174994b2b1ba2150a9a8ae7ea5fb2f1b856b94a815d6071d"},
+    {file = "uvicorn-0.26.0.tar.gz", hash = "sha256:48bfd350fce3c5c57af5fb4995fded8fb50da3b4feb543eb18ad7e0d54589602"},
+]
+
+[package.dependencies]
+click = ">=7.0"
+h11 = ">=0.8"
+
+[package.extras]
+standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+
+[extras]
+api = ["fastapi", "uvicorn"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = "3.11.2"
-content-hash = "4696062dd04776d959869b2425e72e760c3fc7eb64e7dbe3fc3f6d510ada0542"
+content-hash = "aa10b55d5e19b57f5d38f48eaa52a2b7c565c7a548d12307693d8869ee0c1ce8"
diff --git a/pyproject.toml b/pyproject.toml
index 5702a99..4cbe9a1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,6 +5,9 @@ description = ""
 authors = ["Ftps <ftpsflandre@gmail.com>"]
 readme = "README.md"
 
+[tool.poetry.urls]
+github = "https://github.com/RVC-Project/Retrieval-based-Voice-Conversion"
+
 [tool.poetry.dependencies]
 python = "3.11.2"
 torch = "^2.1.0"
@@ -20,9 +23,19 @@ python-dotenv = "^1.0.0"
 pydub = "^0.25.1"
 click = "^8.1.7"
 tensorboardx = "^2.6.2.2"
+poethepoet = "^0.24.4"
+uvicorn = {version = "^0.26.0", optional=true}
+fastapi = "^0.109.0"
+python-multipart = {version = "^0.0.6", optional=true}
+
+[tool.poetry.extras]
+api = ["uvicorn", "fastapi"]
 
 [tool.poetry.scripts]
-rvc = "rvc.cli.cli:main"
+rvc = "rvc.utils.cli.cli:main"
+
+[tool.poe.tasks]
+rvc-api = "uvicorn rvc.utils.api.api:app --reload"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/rvc/utils/api/api.py b/rvc/utils/api/api.py
new file mode 100644
index 0000000..1c7d257
--- /dev/null
+++ b/rvc/utils/api/api.py
@@ -0,0 +1,11 @@
+from dotenv import load_dotenv
+from fastapi import FastAPI
+import uvicorn
+
+from rvc.utils.api.endpoints import inference
+
+load_dotenv()
+
+app = FastAPI()
+
+app.include_router(inference.router)
diff --git a/rvc/utils/api/endpoints/inference.py b/rvc/utils/api/endpoints/inference.py
new file mode 100644
index 0000000..6ffae1a
--- /dev/null
+++ b/rvc/utils/api/endpoints/inference.py
@@ -0,0 +1,50 @@
+from io import BytesIO
+from pathlib import Path
+
+from fastapi import APIRouter, UploadFile, Response, responses
+from pydantic import BaseModel
+from scipy.io import wavfile
+
+from rvc.modules.vc.modules import VC
+
+router = APIRouter()
+
+
+@router.post("/inference")
+def inference(
+    modelpath: str | UploadFile,
+    input: Path | UploadFile,
+    sid: int = 0,
+    f0_up_key: int = 0,
+    f0_method: str = "rmvpe",
+    f0_file: Path | None = None,
+    index_file: Path | None = None,
+    index_rate: float = 0.75,
+    filter_radius: int = 3,
+    resample_sr: int = 0,
+    rms_mix_rate: float = 0.25,
+    protect: float = 0.33,
+):
+    print(protect)
+    vc = VC()
+    vc.get_vc(modelpath)
+    tgt_sr, audio_opt, times, _ = vc.vc_single(
+        sid,
+        input,
+        f0_up_key,
+        f0_method,
+        f0_file,
+        index_file,
+        index_rate,
+        filter_radius,
+        resample_sr,
+        rms_mix_rate,
+        protect,
+    )
+    wavfile.write(wv := BytesIO(), tgt_sr, audio_opt)
+    print(times)
+    return responses.StreamingResponse(
+        wv,
+        media_type="audio/wav",
+        headers={"Content-Disposition": "attachment; filename=inference.wav"},
+    )