Merge branch 'master' of...

Merge branch 'master' of http://gitlab.sliit.lk/22_23-j-36/easy-quest-smart-recruitment-tool-with-ai-backend into it19953298

NodeServer/src/config/types.ts

@@ -125,7 +125,7 @@ export type ApplicationType = {
     time: string;
     link: string;
     videoRef?: string;
-    voiceVerification?: number;
+    voiceVerification?: string;
   };
   score: {
     primary: number;

NodeServer/src/models/Application.ts

@@ -11,7 +11,7 @@ const applicationSchema = new Schema<ApplicationType>({
       time: String,
       link: String,
       videoRef: String,
-      voiceVerification: Number,
+      voiceVerification: String,
     },
     require: false,
   },

NodeServer/src/routes/application.ts

@@ -75,13 +75,11 @@ router.put(
     let update = req.body.update;
 
     if (update.interview?.videoRef) {
-      const score: any = await VoiceAPI.verifyVoice({
+      VoiceAPI.verifyVoice({
         video_url: update.interview?.videoRef,
         user_id: req.body.candidateId,
         application_id: req.body.applicationId,
       });
-
-      update.interview.voiceVerification = score;
     }
 
     Application.findByIdAndUpdate(req.body.applicationId, {
@@ -102,13 +100,19 @@ router.post(
   authMiddleware,
   async (req: TypedRequest<{}, AnalyseApplicationPayload>, res) => {
     const { applicationId, startTime, endTime } = req.body;
-    const data = await VoiceAPI.analyseVoice({
+    const payload = {
       start: startTime,
       end: endTime,
       application_id: applicationId,
-    });
+    };
+
+    try {
+      const voiceData = await VoiceAPI.analyseVoice(payload);
 
-    return res.json({ voice: data });
+      return res.json({ voice: voiceData });
+    } catch (error) {
+      return res.status(500).send(error);
+    }
   }
 );
 

NodeServer/src/routes/user.ts

@@ -22,7 +22,7 @@ router.post(
         update.resumeData = data;
       }
       if (req.body?.selfIntro) {
-        await VoiceAPI.enrollVoice({
+        VoiceAPI.enrollVoice({
           user_id: req.query.userId,
           video_url: req.body.selfIntro,
         });

NodeServer/src/utilities/apis/facial.ts

+import { request } from "../requests";
+
+export default class FacialAPI {
+  static analyseEyeBlinks = (payload: {
+    start: number;
+    end: number;
+    application_id: string;
+  }) => request("<BASE_URL>/facial/eye-blinks", "POST", payload);
+}

PythonServer/.gitignore

@@ -3,6 +3,7 @@ __pycache__
 voices/auth/embed/**
 voices/auth/temp/**
 voices/interviews/**
+videos/interviews/**
 resumes
 models/**
 data/**
\ No newline at end of file

PythonServer/README.md

-### Create conda python 3.9 env
+## Install python
 
-conda create -n server tensorflow python=3.9
+install python 3.9 and set the env path
+
+## Create conda python 3.9 env
 
-### PIP Packages
+conda create -n server tensorflow python=3.9
 
-gensim==3.8.1<br/>
-texthero==1.1.0
+conda install scipy=1.9.3<br/>
 
-- install gfortran : https://fortran-lang.org/learn/os_setup/install_gfortran
 - download and install correct scipy wheel https://pypi.org/project/scipy/#files : pip install <filename>.whl
-- conda install scipy=1.9.3
-
-pyresparser<br/>
 
-- conda install -c conda-forge importlib_metadata
+pip install gensim==3.8.1<br/>
+pip install texthero==1.1.0<br/>
 
-soundfile
+conda install -c conda-forge importlib_metadata<br/>
+pip install pyresparser==1.0.6<br/>
+pip install soundfile==0.10.3.post1<br/>
 pip install librosa==0.9.2
 
-### CONDA Packages
-
-tqdm
-pandas
-pytesseract
-"uvicorn[standard]"
-fastapi
-moviepy
 conda install -c blaze sqlite3
+conda install tqdm=4.65.0
+conda install pandas=1.5.3
+conda install pytesseract
+conda install "uvicorn[standard]"
+conda install -c conda-forge fastapi
+conda install websockets
+
+pip install moviepy
+pip install "libclang>=13.0.0"
+pip install "tensorflow-io-gcs-filesystem>=0.23.1"
+pip install pyannote.audio
+pip install pyannote.core
+pip install PyAudio
+pip install python_speech_features
+
+pip install fer==22.4.0
+
+[OPTIONAL]
+pip install pillow==9.0.0
+conda install "numpy<1.24.0"
+conda install cudatoolkit
+conda update --all
 
-### Run server
+### Install dlib
+
+- Install Cmake : https://cmake.org/download/
+- Install C++ compiler : https://visualstudio.microsoft.com/visual-cpp-build-tools
+- pip install cmake
+- pip install dlib==19.24
+
+### End dlib
+
+pip install imutils==0.5.4
+
+## Run server
 
 uvicorn main:app --reload
 
-### Datasets & models
+## Datasets & models
 
 voice: https://drive.google.com/file/d/1wWsrN2Ep7x6lWqOXfr4rpKGYrJhWc8z7/view
 models: https://drive.google.com/file/d/1TWjIiyyInXHaXySKymM6VcsIR5YMVQ1V/view?usp=share_link
+shape_predictor_68_face_landmarks: https://www.kaggle.com/datasets/sergiovirahonda/shape-predictor-68-face-landmarksdat
+
+## Folders
+
+voices>auth>embed
+voices>auth>temp
+voices>interviews
+models
+data>voice
+
+### Other conda commands
 
-conda list --export > conda-requirements.txt
-pip freeze > pip-requirements.txt
+DELETE ENV : conda remove -n ENV_NAME --all
+EXPORT ENV : conda env export > server_env.yaml
+CREATE ENV BY ENV FILE : conda env create -f server_env.yaml
+LIST ENV : conda list --export > requirements.txt
+INSTALL ENV : conda install --file requirements.txt

PythonServer/baseModels/payloads.py

@@ -22,6 +22,11 @@ class VerifyVoice(BaseModel):
     user_id:str
 
 class AnalyseVoice(BaseModel):
+    start: int
+    end:int
+    application_id:str
+
+class CountBlinks(BaseModel):
     start: int
     end:int
     application_id:str
\ No newline at end of file

PythonServer/main.py

 from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+
+
+# from fer import FER
 
 import routes.resume as resumes
 import routes.voice as voice
+import routes.facial as facial
+
 
 app = FastAPI()
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
 app.include_router(resumes.router)
 app.include_router(voice.router)
+app.include_router(facial.router)
 
 @app.get("/")
 def read_root():
-    return {"status": "running"}
\ No newline at end of file
+    return {"status": "running"}
+
+

PythonServer/requirements.txt

+# This file may be used to create an environment using:
+# $ conda create --name <env> --file <this file>
+# platform: win-64
+_tflow_select=2.3.0=mkl
+absl-py=1.3.0=py39haa95532_0
+aiohttp=3.8.3=py39h2bbff1b_0
+aiosignal=1.2.0=pyhd3eb1b0_0
+alembic=1.10.3=pypi_0
+antlr4-python3-runtime=4.9.3=pypi_0
+appdirs=1.4.4=pyhd3eb1b0_0
+asteroid-filterbanks=0.4.0=pypi_0
+astunparse=1.6.3=py_0
+async-timeout=4.0.2=py39haa95532_0
+attrs=22.1.0=py39haa95532_0
+audioread=3.0.0=pypi_0
+backports-cached-property=1.0.2=pypi_0
+blas=1.0=mkl
+blinker=1.4=py39haa95532_0
+blis=0.7.9=pypi_0
+bottleneck=1.3.5=py39h080aedc_0
+brotlipy=0.7.0=py39h2bbff1b_1003
+ca-certificates=2023.01.10=haa95532_0
+cachetools=4.2.2=pyhd3eb1b0_0
+catalogue=1.0.2=pypi_0
+certifi=2022.12.7=py39haa95532_0
+cffi=1.15.1=py39h2bbff1b_3
+chardet=5.1.0=pypi_0
+charset-normalizer=2.0.4=pyhd3eb1b0_0
+click=8.0.4=py39haa95532_0
+cmaes=0.9.1=pypi_0
+colorama=0.4.6=py39haa95532_0
+colorlog=6.7.0=pypi_0
+commonmark=0.9.1=pypi_0
+contourpy=1.0.7=pypi_0
+cryptography=39.0.1=py39h21b164f_0
+cycler=0.11.0=pypi_0
+cymem=2.0.7=pypi_0
+decorator=5.1.1=pypi_0
+docopt=0.6.2=pypi_0
+docx2txt=0.8=pypi_0
+einops=0.3.2=pypi_0
+fer=22.4.0=pypi_0
+filelock=3.11.0=pypi_0
+flatbuffers=2.0.0=h6c2663c_0
+flit-core=3.8.0=py39haa95532_0
+fonttools=4.39.3=pypi_0
+frozenlist=1.3.3=py39h2bbff1b_0
+fsspec=2023.4.0=pypi_0
+gast=0.4.0=pyhd3eb1b0_0
+gensim=3.8.1=pypi_0
+giflib=5.2.1=h8cc25b3_3
+google-auth=2.6.0=pyhd3eb1b0_0
+google-auth-oauthlib=0.4.4=pyhd3eb1b0_0
+google-pasta=0.2.0=pyhd3eb1b0_0
+greenlet=2.0.2=pypi_0
+grpcio=1.42.0=py39hc60d5dd_0
+h11=0.12.0=pyhd3eb1b0_0
+h5py=3.7.0=py39h3de5c98_0
+hdf5=1.10.6=h1756f20_1
+hmmlearn=0.2.8=pypi_0
+huggingface-hub=0.13.4=pypi_0
+hyperpyyaml=1.2.0=pypi_0
+icc_rt=2022.1.0=h6049295_2
+icu=58.2=ha925a31_3
+idna=3.4=py39haa95532_0
+importlib-metadata=6.0.0=py39haa95532_0
+importlib-resources=5.12.0=pypi_0
+importlib_metadata=6.0.0=hd3eb1b0_0
+intel-openmp=2021.4.0=haa95532_3556
+joblib=1.2.0=pypi_0
+jpeg=9e=h2bbff1b_1
+jsonschema=4.17.3=pypi_0
+julius=0.2.7=pypi_0
+keras=2.10.0=py39haa95532_0
+keras-preprocessing=1.1.2=pyhd3eb1b0_0
+kiwisolver=1.4.4=pypi_0
+libclang=16.0.0=pypi_0
+libcurl=7.88.1=h86230a5_0
+libpng=1.6.39=h8cc25b3_0
+libprotobuf=3.20.3=h23ce68f_0
+librosa=0.9.2=pypi_0
+libssh2=1.10.0=hcd4344a_0
+llvmlite=0.39.1=pypi_0
+mako=1.2.4=pypi_0
+markdown=3.4.1=py39haa95532_0
+markupsafe=2.1.1=py39h2bbff1b_0
+matplotlib=3.7.1=pypi_0
+mkl=2021.4.0=haa95532_640
+mkl-service=2.4.0=py39h2bbff1b_0
+mkl_fft=1.3.1=py39h277e83a_0
+mkl_random=1.2.2=py39hf11a4ad_0
+mpmath=1.3.0=pypi_0
+mtcnn=0.1.1=pypi_0
+multidict=6.0.2=py39h2bbff1b_0
+murmurhash=1.0.9=pypi_0
+networkx=2.8.8=pypi_0
+nltk=3.8.1=pypi_0
+numba=0.56.4=pypi_0
+numexpr=2.8.4=py39h5b0cc5e_0
+numpy=1.23.5=py39h3b20f71_0
+numpy-base=1.23.5=py39h4da318b_0
+oauthlib=3.2.2=py39haa95532_0
+omegaconf=2.3.0=pypi_0
+opencv-contrib-python=4.7.0.72=pypi_0
+opencv-python=4.7.0.72=pypi_0
+openssl=1.1.1t=h2bbff1b_0
+opt_einsum=3.3.0=pyhd3eb1b0_1
+optuna=3.1.1=pypi_0
+packaging=23.0=py39haa95532_0
+pandas=2.0.0=pypi_0
+pdfminer-six=20221105=pypi_0
+pillow=9.5.0=pypi_0
+pip=23.0.1=py39haa95532_0
+plac=1.1.3=pypi_0
+plotly=5.14.1=pypi_0
+pooch=1.4.0=pyhd3eb1b0_0
+preshed=3.0.8=pypi_0
+primepy=1.3=pypi_0
+protobuf=3.19.6=pypi_0
+pyannote-audio=2.1.1=pypi_0
+pyannote-core=4.5=pypi_0
+pyannote-database=4.1.3=pypi_0
+pyannote-metrics=3.2.1=pypi_0
+pyannote-pipeline=2.3=pypi_0
+pyasn1=0.4.8=pyhd3eb1b0_0
+pyasn1-modules=0.2.8=py_0
+pyaudio=0.2.13=pypi_0
+pycparser=2.21=pyhd3eb1b0_0
+pycryptodome=3.17=pypi_0
+pydeprecate=0.3.2=pypi_0
+pygments=2.14.0=pypi_0
+pyjwt=2.4.0=py39haa95532_0
+pyopenssl=23.0.0=py39haa95532_0
+pyparsing=3.0.9=pypi_0
+pyresparser=1.0.6=pypi_0
+pyrsistent=0.19.3=pypi_0
+pysocks=1.7.1=py39haa95532_0
+python=3.9.16=h6244533_2
+python-dateutil=2.8.2=pyhd3eb1b0_0
+python-flatbuffers=2.0=pyhd3eb1b0_0
+python-speech-features=0.6=pypi_0
+pytorch-lightning=1.6.5=pypi_0
+pytorch-metric-learning=1.7.3=pypi_0
+pytz=2023.3=pypi_0
+pyyaml=6.0=pypi_0
+regex=2023.3.23=pypi_0
+requests=2.28.1=py39haa95532_1
+requests-oauthlib=1.3.0=py_0
+resampy=0.4.2=pypi_0
+rich=12.6.0=pypi_0
+rsa=4.7.2=pyhd3eb1b0_1
+ruamel-yaml=0.17.21=pypi_0
+ruamel-yaml-clib=0.2.7=pypi_0
+scikit-learn=1.2.2=pypi_0
+scipy=1.9.3=py39h321e85e_1
+semver=2.13.0=pypi_0
+sentencepiece=0.1.97=pypi_0
+setuptools=65.6.3=py39haa95532_0
+shellingham=1.5.0.post1=pypi_0
+simplejson=3.19.1=pypi_0
+singledispatchmethod=1.0=pypi_0
+six=1.16.0=pyhd3eb1b0_1
+smart-open=6.3.0=pypi_0
+snappy=1.1.9=h6c2663c_0
+sortedcontainers=2.4.0=pypi_0
+soundfile=0.10.3.post1=pypi_0
+spacy=2.3.9=pypi_0
+speechbrain=0.5.14=pypi_0
+sqlalchemy=2.0.9=pypi_0
+sqlite=3.41.1=h2bbff1b_0
+sqlite3=3.8.6=0
+srsly=1.0.6=pypi_0
+sympy=1.11.1=pypi_0
+tabulate=0.9.0=pypi_0
+tenacity=8.2.2=pypi_0
+tensorboard=2.10.0=py39haa95532_0
+tensorboard-data-server=0.6.1=py39haa95532_0
+tensorboard-plugin-wit=1.8.1=py39haa95532_0
+tensorflow=2.10.0=mkl_py39ha510bab_0
+tensorflow-base=2.10.0=mkl_py39h6a7f48e_0
+tensorflow-estimator=2.10.0=py39haa95532_0
+tensorflow-io-gcs-filesystem=0.31.0=pypi_0
+termcolor=2.1.0=py39haa95532_0
+texthero=1.1.0=pypi_0
+thinc=7.4.6=pypi_0
+threadpoolctl=3.1.0=pypi_0
+torch=1.13.1=pypi_0
+torch-audiomentations=0.11.0=pypi_0
+torch-pitch-shift=1.2.3=pypi_0
+torchaudio=0.13.1=pypi_0
+torchmetrics=0.11.4=pypi_0
+tqdm=4.65.0=py39hd4e2768_0
+typer=0.7.0=pypi_0
+typing_extensions=4.4.0=py39haa95532_0
+tzdata=2023.3=pypi_0
+unidecode=1.3.6=pypi_0
+urllib3=1.26.15=py39haa95532_0
+uvicorn=0.20.0=py39haa95532_0
+vc=14.2=h21ff451_1
+vs2015_runtime=14.27.29016=h5e58377_2
+wasabi=0.10.1=pypi_0
+websockets=10.4=py39h2bbff1b_1
+werkzeug=2.2.3=py39haa95532_0
+wheel=0.38.4=py39haa95532_0
+win_inet_pton=1.1.0=py39haa95532_0
+wincertstore=0.2=py39haa95532_2
+wordcloud=1.8.2.2=pypi_0
+wrapt=1.14.1=py39h2bbff1b_0
+yarl=1.8.1=py39h2bbff1b_0
+zipp=3.11.0=py39haa95532_0
+zlib=1.2.13=h8cc25b3_0

PythonServer/routes/facial.py

+from fastapi import APIRouter, WebSocket, WebSocketDisconnect
+from fer import FER
+import cv2
+import imutils 
+from scripts.blink_detection import count_blinks
+from baseModels.payloads import CountBlinks
+from scripts.web_socket import ConnectionManager
+import json
+
+manager = ConnectionManager()
+router = APIRouter(prefix='/facial')
+
+@router.post("/eye-blinks")
+def countBlinks(payload:CountBlinks):
+    video_filename = 'videos/interviews/'+payload.application_id+'.mp4'
+    count = count_blinks(video_filename, payload.start, payload.end)
+    return count
+
+@router.websocket("/ws/eye-blinks")
+async def countBlinks(websocket: WebSocket,  application_id: str, start:str, end:str):
+    await manager.connect(websocket)
+    try:
+        while True:
+            video_filename = 'videos/interviews/'+application_id+'.mp4'
+            count = count_blinks(video_filename, int(start), int(end))
+            await manager.send_private(json.dumps({"count":count, "end":True}), websocket)
+            await manager.disconnect(websocket)
+            
+    except WebSocketDisconnect:
+        await manager.send_private(json.dumps({"end":True}), websocket)
+        await manager.disconnect(websocket)
+    return
+
+@router.websocket("/ws/emotions")
+async def emotions(websocket: WebSocket, application_id: str):
+    await manager.connect(websocket)
+    video_filename = 'videos/interviews/'+application_id+'.mp4'
+    face_detector = FER(mtcnn=True)
+    cap = cv2.VideoCapture(video_filename)
+    try:
+        while True:
+            ret, frame = cap.read()
+            if not ret:
+                await manager.send_private(json.dumps({"data":[], "end":True}), websocket)
+                await manager.disconnect(websocket)
+                break
+            
+            frame = imutils.resize(frame, width=800)
+            emotions = face_detector.detect_emotions(frame)
+            print(emotions)
+            await manager.send_private(json.dumps({"data":emotions, "end":False}), websocket)
+            
+    except WebSocketDisconnect:
+        await manager.send_private(json.dumps({"data":[], "end":True, "status":"Offline"}), websocket)
+        await manager.disconnect(websocket)
+
+

PythonServer/routes/voice.py

@@ -44,7 +44,7 @@ def enroll(payload:EnrollVoice):
 
 @router.post("/verify")
 def verify(payload:VerifyVoice):
-    video_filename = 'voices/interviews/'+payload.application_id+'.mp4'
+    video_filename = 'videos/interviews/'+payload.application_id+'.mp4'
     urllib.request.urlretrieve(payload.video_url, video_filename)
 
     # Download video and save audio
@@ -59,11 +59,6 @@ def verify(payload:VerifyVoice):
     enroll_embs = np.load("voices/auth/embed/"+ payload.user_id+".npy") 
     distance = euclidean(test_embs, enroll_embs)
 
-    try:
-        os.remove(video_filename)
-    except:
-        print('error')
-
     return round(1-distance, 5)
 
 @router.post("/analyse")

PythonServer/scripts/blink_detection.py

+import cv2
+import dlib
+import imutils
+import numpy as np
+from imutils import face_utils
+from scipy.spatial import distance as dist
+from scripts.parameters import EYE_AR_THRESH, EYE_AR_CONSEC_FRAMES
+
+
+def eye_aspect_ratio(eye):
+    A = dist.euclidean(eye[1], eye[5])
+    B = dist.euclidean(eye[2], eye[4])
+    C = dist.euclidean(eye[0], eye[3])
+    ear = (A + B) / (2.0 * C)
+    return ear
+
+ 
+detector = dlib.get_frontal_face_detector()
+predictor = dlib.shape_predictor("models/shape_predictor_68_face_landmarks.dat")
+
+
+(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
+(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
+
+def count_blinks(filename, start=0, end=0): 
+    COUNTER = 0
+    TOTAL = 0
+    vs = cv2.VideoCapture(filename)
+    fps = vs.get(cv2.CAP_PROP_FPS)
+
+    start_frame = start * fps
+    end_frame = end * fps
+    current_frame = start_frame
+
+    vs.set(cv2.CAP_PROP_POS_FRAMES, start_frame)
+
+    while (current_frame<=end_frame):
+        ret, frame = vs.read()
+
+        if ret == True:
+            frame = imutils.resize(frame, width=800)
+            gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+            rects = detector(gray, 0)
+            current_frame = current_frame + 1
+            print('FRAME : '+str(current_frame) + ' Blinks :'+ str(TOTAL))
+
+            for rect in rects:
+
+                shape = predictor(gray, rect)
+                shape = face_utils.shape_to_np(shape)
+
+                leftEye = shape[lStart:lEnd]
+                rightEye = shape[rStart:rEnd]
+                leftEAR = eye_aspect_ratio(leftEye)
+                rightEAR = eye_aspect_ratio(rightEye)
+
+                ear = (leftEAR + rightEAR) / 2.0 
+
+                if ear < EYE_AR_THRESH:
+                    COUNTER += 1
+                else:
+                    if COUNTER >= EYE_AR_CONSEC_FRAMES:
+                        TOTAL += 1
+                    COUNTER = 0
+        else:
+            break
+                
+    vs.release()
+    return TOTAL
\ No newline at end of file

PythonServer/scripts/parameters.py

@@ -18,4 +18,9 @@ INPUT_SHAPE=(NUM_FFT,None,1)
 EMBED_LIST_FILE = "voices/auth/embed"
 
 # Recognition
-THRESHOLD = 0.2
\ No newline at end of file
+THRESHOLD = 0.2
+
+EMOTIONS = ['Angry', 'Disgust', 'Fear', 'Happy', 'Sad', 'Surprise', 'Neutral']
+
+EYE_AR_THRESH = 0.2
+EYE_AR_CONSEC_FRAMES = 3
\ No newline at end of file

PythonServer/scripts/web_socket.py

+from typing import List
+from fastapi import WebSocket
+
+class ConnectionManager:
+
+    def __init__(self) -> None:
+        self.active_connections: List[WebSocket] = []
+
+    async def connect(self, websocket: WebSocket):
+        await websocket.accept()
+        self.active_connections.append(websocket)
+
+    def disconnect(self, websocket: WebSocket):
+        self.active_connections.remove(websocket)
+
+    async def send_private(self, message: str, websocket: WebSocket):
+        await websocket.send_text(message)
+
+    async def broadcast(self, message: str):
+        for connection in self.active_connections:
+            await connection.send_text(message)
\ No newline at end of file

PythonServer/server_env.yaml

+name: pyserver
+channels:
+  - blaze
+  - conda-forge
+  - defaults
+dependencies:
+  - _tflow_select=2.3.0=mkl
+  - absl-py=1.4.0=pyhd8ed1ab_0
+  - aiohttp=3.8.4=py39ha55989b_0
+  - aiosignal=1.3.1=pyhd8ed1ab_0
+  - anyio=3.6.2=pyhd8ed1ab_0
+  - aom=3.5.0=h63175ca_0
+  - astunparse=1.6.3=pyhd8ed1ab_0
+  - async-timeout=4.0.2=pyhd8ed1ab_0
+  - attrs=22.2.0=pyh71513ae_0
+  - blinker=1.5=pyhd8ed1ab_0
+  - brotlipy=0.7.0=py39ha55989b_1005
+  - bzip2=1.0.8=h8ffe710_4
+  - ca-certificates=2022.12.7=h5b45459_0
+  - cachetools=5.3.0=pyhd8ed1ab_0
+  - certifi=2022.12.7=pyhd8ed1ab_0
+  - cffi=1.15.1=py39h68f70e3_3
+  - charset-normalizer=2.1.1=pyhd8ed1ab_0
+  - click=8.1.3=win_pyhd8ed1ab_2
+  - colorama=0.4.6=pyhd8ed1ab_0
+  - cryptography=38.0.4=py39h58e9bdb_0
+  - decorator=5.1.1=pyhd8ed1ab_0
+  - expat=2.5.0=h63175ca_1
+  - fastapi=0.95.0=pyhd8ed1ab_0
+  - ffmpeg=5.1.2=gpl_h5b1d025_106
+  - flatbuffers=23.3.3=h63175ca_0
+  - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
+  - font-ttf-inconsolata=3.000=h77eed37_0
+  - font-ttf-source-code-pro=2.038=h77eed37_0
+  - font-ttf-ubuntu=0.83=hab24e00_0
+  - fontconfig=2.14.2=hbde0cde_0
+  - fonts-conda-ecosystem=1=0
+  - fonts-conda-forge=1=0
+  - freetype=2.12.1=h546665d_1
+  - frozenlist=1.3.3=py39ha55989b_0
+  - gast=0.4.0=pyh9f0ad1d_0
+  - giflib=5.2.1=h64bf75a_3
+  - google-auth=2.17.0=pyh1a96a4e_0
+  - google-auth-oauthlib=0.4.6=pyhd8ed1ab_0
+  - google-pasta=0.2.0=pyh8c360ce_0
+  - grpcio=1.42.0=py39hc60d5dd_0
+  - h11=0.14.0=pyhd8ed1ab_0
+  - h5py=3.7.0=py39h3de5c98_0
+  - hdf5=1.10.6=nompi_h5268f04_1114
+  - icu=58.2=ha925a31_3
+  - idna=3.4=pyhd8ed1ab_0
+  - imageio=2.27.0=pyh24c5eb1_0
+  - imageio-ffmpeg=0.4.8=pyhd8ed1ab_0
+  - importlib-metadata=6.1.0=pyha770c72_0
+  - importlib_metadata=6.1.0=hd8ed1ab_0
+  - intel-openmp=2023.0.0=h57928b3_25922
+  - jpeg=9e=hcfcfb64_3
+  - keras=2.10.0=py39haa95532_0
+  - keras-preprocessing=1.1.2=pyhd8ed1ab_0
+  - krb5=1.20.1=h6609f42_0
+  - lcms2=2.15=ha5c8aab_0
+  - lerc=4.0.0=h63175ca_0
+  - libblas=3.9.0=16_win64_mkl
+  - libcblas=3.9.0=16_win64_mkl
+  - libcurl=7.88.1=h68f0423_1
+  - libdeflate=1.17=hcfcfb64_0
+  - libexpat=2.5.0=h63175ca_1
+  - libffi=3.4.2=h8ffe710_5
+  - libhwloc=2.9.0=h51c2c0f_0
+  - libiconv=1.17=h8ffe710_0
+  - liblapack=3.9.0=16_win64_mkl
+  - libopus=1.3.1=h8ffe710_1
+  - libpng=1.6.39=h19919ed_0
+  - libprotobuf=3.20.2=h12be248_0
+  - libsqlite=3.40.0=hcfcfb64_0
+  - libssh2=1.10.0=h680486a_3
+  - libtiff=4.5.0=hf8721a0_2
+  - libwebp-base=1.3.0=hcfcfb64_0
+  - libxcb=1.13=hcd874cb_1004
+  - libxml2=2.10.3=hc3477c8_6
+  - libzlib=1.2.13=hcfcfb64_4
+  - m2w64-gcc-libgfortran=5.3.0=6
+  - m2w64-gcc-libs=5.3.0=7
+  - m2w64-gcc-libs-core=5.3.0=7
+  - m2w64-gmp=6.1.0=2
+  - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
+  - markdown=3.4.3=pyhd8ed1ab_0
+  - markupsafe=2.1.2=py39ha55989b_0
+  - mkl=2022.1.0=h6a75c08_874
+  - moviepy=1.0.3=pyhd8ed1ab_1
+  - msys2-conda-epoch=20160418=1
+  - multidict=6.0.4=py39ha55989b_0
+  - oauthlib=3.2.2=pyhd8ed1ab_0
+  - openh264=2.3.1=h63175ca_2
+  - openjpeg=2.5.0=ha2aaf27_2
+  - openssl=1.1.1t=hcfcfb64_0
+  - opt_einsum=3.3.0=pyhd8ed1ab_1
+  - packaging=23.0=pyhd8ed1ab_0
+  - pandas=1.5.3=py39h2ba5b7c_1
+  - pillow=9.4.0=py39hcebd2be_1
+  - pip=23.0.1=pyhd8ed1ab_0
+  - platformdirs=3.2.0=pyhd8ed1ab_0
+  - pooch=1.7.0=pyha770c72_3
+  - proglog=0.1.9=py_0
+  - pthread-stubs=0.4=hcd874cb_1001
+  - pthreads-win32=2.9.1=hfa6e2cd_3
+  - pyasn1=0.4.8=py_0
+  - pyasn1-modules=0.2.7=py_0
+  - pycparser=2.21=pyhd8ed1ab_0
+  - pydantic=1.10.7=py39ha55989b_0
+  - pyjwt=2.6.0=pyhd8ed1ab_0
+  - pyopenssl=23.1.1=pyhd8ed1ab_0
+  - pysocks=1.7.1=pyh0701188_6
+  - pytesseract=0.3.10=pyhd8ed1ab_0
+  - python=3.9.16=h6244533_2
+  - python-dateutil=2.8.2=pyhd8ed1ab_0
+  - python-flatbuffers=23.1.21=pyhd8ed1ab_0
+  - python_abi=3.9=2_cp39
+  - pytz=2023.3=pyhd8ed1ab_0
+  - pyu2f=0.1.5=pyhd8ed1ab_0
+  - requests=2.28.2=pyhd8ed1ab_0
+  - requests-oauthlib=1.3.1=pyhd8ed1ab_0
+  - rsa=4.9=pyhd8ed1ab_0
+  - scipy=1.9.3=py39hfbf2dce_2
+  - setuptools=67.6.1=pyhd8ed1ab_0
+  - six=1.16.0=pyh6c4a22f_0
+  - snappy=1.1.10=hfb803bf_0
+  - sniffio=1.3.0=pyhd8ed1ab_0
+  - sqlite=3.41.1=h2bbff1b_0
+  - sqlite3=3.8.6=0
+  - starlette=0.26.1=pyhd8ed1ab_0
+  - svt-av1=1.4.1=h63175ca_0
+  - tbb=2021.8.0=h91493d7_0
+  - tensorboard=2.10.0=py39haa95532_0
+  - tensorboard-data-server=0.6.1=py39haa95532_0
+  - tensorboard-plugin-wit=1.8.1=pyhd8ed1ab_0
+  - tensorflow=2.10.0=mkl_py39ha510bab_0
+  - tensorflow-base=2.10.0=mkl_py39h6a7f48e_0
+  - tensorflow-estimator=2.10.0=py39haa95532_0
+  - termcolor=2.2.0=pyhd8ed1ab_0
+  - tk=8.6.12=h8ffe710_0
+  - tqdm=4.65.0=pyhd8ed1ab_1
+  - typing-extensions=4.5.0=hd8ed1ab_0
+  - typing_extensions=4.5.0=pyha770c72_0
+  - tzdata=2023c=h71feb2d_0
+  - ucrt=10.0.22621.0=h57928b3_0
+  - urllib3=1.26.15=pyhd8ed1ab_0
+  - uvicorn=0.21.1=py39hcbf5309_0
+  - vc=14.3=hb6edc58_10
+  - vs2015_runtime=14.34.31931=h4c5c07a_10
+  - werkzeug=2.2.3=pyhd8ed1ab_0
+  - wheel=0.40.0=pyhd8ed1ab_0
+  - win_inet_pton=1.1.0=pyhd8ed1ab_6
+  - wrapt=1.15.0=py39ha55989b_0
+  - x264=1!164.3095=h8ffe710_2
+  - x265=3.5=h2d74725_3
+  - xorg-libxau=1.0.9=hcd874cb_0
+  - xorg-libxdmcp=1.1.3=hcd874cb_0
+  - xz=5.2.6=h8d14728_0
+  - yarl=1.8.2=py39ha55989b_0
+  - zipp=3.15.0=pyhd8ed1ab_0
+  - zlib=1.2.13=hcfcfb64_4
+  - zstd=1.5.2=h12be248_6
+  - pip:
+      - alembic==1.10.2
+      - antlr4-python3-runtime==4.9.3
+      - asteroid-filterbanks==0.4.0
+      - audioread==3.0.0
+      - backports-cached-property==1.0.2
+      - blis==0.7.9
+      - catalogue==1.0.2
+      - chardet==5.1.0
+      - cmaes==0.9.1
+      - colorlog==6.7.0
+      - commonmark==0.9.1
+      - contourpy==1.0.7
+      - cycler==0.11.0
+      - cymem==2.0.7
+      - dlib==19.24.0
+      - docopt==0.6.2
+      - docx2txt==0.8
+      - einops==0.3.2
+      - en-core-web-sm==2.3.1
+      - fer==22.4.0
+      - filelock==3.10.7
+      - fonttools==4.39.3
+      - fsspec==2023.3.0
+      - gensim==3.8.1
+      - greenlet==2.0.2
+      - hmmlearn==0.2.8
+      - huggingface-hub==0.13.3
+      - hyperpyyaml==1.1.0
+      - importlib-resources==5.12.0
+      - imutils==0.5.4
+      - joblib==1.2.0
+      - jsonschema==4.17.3
+      - julius==0.2.7
+      - kiwisolver==1.4.4
+      - librosa==0.9.2
+      - llvmlite==0.39.1
+      - mako==1.2.4
+      - matplotlib==3.7.1
+      - mpmath==1.3.0
+      - mtcnn==0.1.1
+      - murmurhash==1.0.9
+      - networkx==2.8.8
+      - nltk==3.8.1
+      - numba==0.56.4
+      - numpy==1.23.5
+      - omegaconf==2.3.0
+      - opencv-contrib-python==4.7.0.72
+      - opencv-python==4.7.0.72
+      - optuna==3.1.0
+      - pdfminer-six==20221105
+      - plac==1.1.3
+      - plotly==5.14.0
+      - preshed==3.0.8
+      - primepy==1.3
+      - protobuf==3.19.6
+      - pyannote-audio==2.1.1
+      - pyannote-core==4.5
+      - pyannote-database==4.1.3
+      - pyannote-metrics==3.2.1
+      - pyannote-pipeline==2.3
+      - pyaudio==0.2.13
+      - pycryptodome==3.17
+      - pydeprecate==0.3.2
+      - pygments==2.14.0
+      - pyparsing==3.0.9
+      - pyresparser==1.0.6
+      - pyrsistent==0.19.3
+      - python-speech-features==0.6
+      - pytorch-lightning==1.6.5
+      - pytorch-metric-learning==1.7.3
+      - pyyaml==6.0
+      - regex==2023.3.23
+      - resampy==0.4.2
+      - rich==12.6.0
+      - ruamel-yaml==0.17.21
+      - ruamel-yaml-clib==0.2.7
+      - scikit-learn==1.2.2
+      - semver==2.13.0
+      - sentencepiece==0.1.97
+      - shellingham==1.5.0.post1
+      - simplejson==3.18.4
+      - singledispatchmethod==1.0
+      - smart-open==6.3.0
+      - sortedcontainers==2.4.0
+      - soundfile==0.10.3.post1
+      - spacy==2.3.9
+      - speechbrain==0.5.14
+      - sqlalchemy==2.0.7
+      - srsly==1.0.6
+      - sympy==1.11.1
+      - tabulate==0.9.0
+      - tenacity==8.2.2
+      - texthero==1.1.0
+      - thinc==7.4.6
+      - threadpoolctl==3.1.0
+      - torch==1.13.1
+      - torch-audiomentations==0.11.0
+      - torch-pitch-shift==1.2.3
+      - torchaudio==0.13.1
+      - torchmetrics==0.11.4
+      - typer==0.7.0
+      - unidecode==1.3.6
+      - wasabi==0.10.1
+      - wordcloud==1.8.2.2
+prefix: C:\Users\User\miniconda3\envs\pyserver