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‎.vscode/launch.json‎

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{
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// Use IntelliSense to learn about possible attributes.
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// Hover to view descriptions of existing attributes.
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// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Python: Current File",
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"type": "python",
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"request": "launch",
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"program": "${file}",
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"console": "integratedTerminal",
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"justMyCode": true
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}
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]
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}

‎PythonServer/scripts/__init__.py‎

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from .base_model import BaseModel
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from .example_model import SentimentAnalysisModel

‎PythonServer/scripts/__pycache__/__init__.cpython-310.pyc‎

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‎PythonServer/scripts/__pycache__/base_model.cpython-310.pyc‎

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‎PythonServer/scripts/__pycache__/example_model.cpython-310.pyc‎

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‎PythonServer/scripts/base_model.py‎

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import abc
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class BaseModel(abc.ABC):
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def load_model(self):
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"""
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Load the model.
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"""
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pass
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def predict(self, input_data):
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"""
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Make a prediction using the model.
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:param input_data: The input data for the model.
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:return: The prediction result.
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"""
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pass
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‎PythonServer/scripts/example_model.py‎

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import torch
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from transformers import pipeline
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from .base_model import BaseModel
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class SentimentAnalysisModel(BaseModel):
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def __init__(self):
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self.model = None
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self.load_model()
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def load_model(self):
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self.model = pipeline("sentiment-analysis")
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def predict(self, input_data):
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result = self.model(input_data)[0]
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return result
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if __name__ == "__main__":
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sentiment_model = SentimentAnalysisModel()
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result = sentiment_model.predict("I love this movie!")
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print(result)

‎PythonServer/server.py‎

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import socket
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import json
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from scripts import SentimentAnalysisModel
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# Configuration
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HOST = '127.0.0.1'
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PORT = 5000
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BUFFER_SIZE = 1024
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# Load the model
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model = SentimentAnalysisModel()
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# Create a socket
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server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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server_socket.bind((HOST, PORT))
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# Listen for connections
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server_socket.listen()
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print(f"Listening on port {PORT}...")
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# Accept a connection
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client_socket, address = server_socket.accept()
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print(f"Accepted connection from {address}.")
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try:
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while True:
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data = client_socket.recv(BUFFER_SIZE).decode("utf-8")
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if not data:
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break
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print(f"Received data from client: {data}")
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# Make a prediction
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result = model.predict(data)
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# Send the result back to the client
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result_json = json.dumps(result)
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client_socket.sendall(result_json.encode("utf-8"))
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print(f"Sent prediction to client: {result_json}")
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except Exception as e:
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print(e)
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finally:
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# Close the connection
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client_socket.close()
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server_socket.close()
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print("Connection closed.")

‎Unity/.gitignore‎

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# This .gitignore file should be placed at the root of your Unity project directory
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#
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# Get latest from https://github.com/github/gitignore/blob/main/Unity.gitignore
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#
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/[Ll]ibrary/
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/[Tt]emp/
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/[Oo]bj/
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/[Bb]uild/
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/[Bb]uilds/
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/[Ll]ogs/
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/[Uu]ser[Ss]ettings/
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# MemoryCaptures can get excessive in size.
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# They also could contain extremely sensitive data
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/[Mm]emoryCaptures/
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# Recordings can get excessive in size
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/[Rr]ecordings/
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# Uncomment this line if you wish to ignore the asset store tools plugin
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# /[Aa]ssets/AssetStoreTools*
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# Autogenerated Jetbrains Rider plugin
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/[Aa]ssets/Plugins/Editor/JetBrains*
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# Visual Studio cache directory
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.vs/
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.VSCodeCounter/
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# Gradle cache directory
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.gradle/
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# Autogenerated VS/MD/Consulo solution and project files
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ExportedObj/
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.consulo/
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*.csproj
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*.unityproj
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*.sln
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*.suo
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*.tmp
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*.user
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*.userprefs
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*.pidb
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*.booproj
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*.svd
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*.pdb
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*.mdb
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*.opendb
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*.VC.db
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# Unity3D generated meta files
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*.pidb.meta
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*.pdb.meta
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*.mdb.meta
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# Unity3D generated file on crash reports
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sysinfo.txt
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# Builds
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*.apk
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*.aab
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*.unitypackage
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*.app
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# Crashlytics generated file
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crashlytics-build.properties
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# Packed Addressables
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/[Aa]ssets/[Aa]ddressable[Aa]ssets[Dd]ata/*/*.bin*
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# Temporary auto-generated Android Assets
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/[Aa]ssets/[Ss]treamingAssets/aa.meta
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/[Aa]ssets/[Ss]treamingAssets/aa/*

‎Unity/.vscode/settings.json‎

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{
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"files.exclude":
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{
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"**/.DS_Store":true,
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"**/.git":true,
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"**/.gitmodules":true,
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"**/*.booproj":true,
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"**/*.pidb":true,
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"**/*.suo":true,
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"**/*.user":true,
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"**/*.userprefs":true,
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"**/*.unityproj":true,
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"**/*.dll":true,
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"**/*.exe":true,
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"**/*.pdf":true,
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"**/*.mid":true,
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"**/*.midi":true,
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"**/*.wav":true,
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"**/*.gif":true,
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"**/*.ico":true,
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"**/*.jpg":true,
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"**/*.jpeg":true,
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"**/*.png":true,
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"**/*.psd":true,
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"**/*.tga":true,
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"**/*.tif":true,
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"**/*.tiff":true,
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"**/*.3ds":true,
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"**/*.3DS":true,
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"**/*.fbx":true,
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"**/*.FBX":true,
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"**/*.lxo":true,
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"**/*.LXO":true,
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"**/*.ma":true,
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"**/*.MA":true,
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"**/*.obj":true,
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"**/*.OBJ":true,
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"**/*.asset":true,
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"**/*.cubemap":true,
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"**/*.flare":true,
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"**/*.mat":true,
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"**/*.meta":true,
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"**/*.prefab":true,
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"**/*.unity":true,
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"build/":true,
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"Build/":true,
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"Library/":true,
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"library/":true,
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"obj/":true,
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"Obj/":true,
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"ProjectSettings/":true,
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"temp/":true,
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"Temp/":true
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}
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}

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