[MAIN] 브랜치 최신화

.gitattributes

@@ -0,0 +1,2 @@
+models/**/*.safetensors filter=lfs diff=lfs merge=lfs -text
+models/**/*.spiece.model filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,19 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+
+# 가상환경
+.venv/
+venv/
+env/
+ENV/
+
+# 로그 파일
+*.log
+
+# macOS 메타데이터
+.DS_Store
+
+# IDE 설정 파일
+.vscode/
+.idea/

README.md

@@ -1 +1,61 @@
-# Inside movie AI
+# Inside movie AI
+
+## 1. 가상 환경 및 패키지 간단 설치 방법
+```bash
+# 프로젝트 루트에 environment.yml이 있어야 합니다.
+conda env create -n Insidemovie-AI -f environment.yml
+```
+
+**환경 활성화**
+```bash
+conda activate Insidemovie-AI
+```
+
+- - -
+## 2. Conda 환경 설치 방법
+### Conda 가상 환경 생성
+```bash
+conda create -n Insidemovie-AI python=3.12.11
+```
+
+### 생성한 가상 환경 실행
+```bash
+conda activate Insidemovie-AI
+```
+## 3. venv 환경에서 설치 방법
+- `Insidemovie-AI` 이름으로 가상환경 생성
+```bash
+python3 -m venv --prompt Insidemovie-AI .venv
+```
+
+- 환경 활성화
+```bash
+source .venv/bin/activate
+```
+
+
+## 4. 패키지 요구사항
+- uvicorn == 0.35.0
+- fastapi == 0.116.1
+- pytorch == 2.7.1
+- transformers == 4.53.2
+- pydantic-settings
+- sentencepiece == 0.2.0
+- motor
+
+#### 패키지 설치 코드
+```bash
+pip install \
+  uvicorn==0.35.0 \
+  fastapi==0.116.1 \
+  torch==2.7.1 \
+  transformers==4.53.2 \
+  pydantic-settings \
+  sentencepiece==0.2.0 \
+  motor 
+```
+
+#### KoBERT 설치
+```bash
+pip install 'git+https://github.com/SKTBrain/KoBERT.git#egg=kobert_tokenizer&subdirectory=kobert_hf'
+```

config.py

@@ -1,13 +1,13 @@
-# config.py
+import os
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
 class Settings(BaseSettings):
-    db_name: str = "emotion_db"
     mongodb_uri: str = "mongodb://localhost:27017"
+    db_name: str = "emotion_db"
     collection_name: str = "predictions"
-    title: str = "Inside Movie AI"
+    model_dir: str = os.getenv("MODEL_DIR", "models/0712_kobert_5_emotion_model")
+    title: str = "MovieMood - KoBERT Emotion API"
 
-    # .env 파일 자동 로딩 설정
     model_config = SettingsConfigDict(env_file=".env")
 
 settings = Settings()

const.py

@@ -0,0 +1,8 @@
+# 7 가지 감정 상태
+# 기쁨, 슬픔, 분노, 놀람, 혐오, 공포, 중립
+LABELS_6 = [
+    "anger", "fear", "joy", "neutral", "sadness", "surprise"
+]
+LABELS_5 = [
+    "anger", "fear", "joy", "neutral", "sadness"
+]

db.py

@@ -1,4 +1,3 @@
-# app/db.py
 from motor.motor_asyncio import AsyncIOMotorClient
 from config import settings
 

environment.yml

@@ -0,0 +1,64 @@
+name: Insidemovie-AI
+channels:
+  - defaults
+dependencies:
+  - bzip2=1.0.8=h80987f9_6
+  - ca-certificates=2025.2.25=hca03da5_0
+  - expat=2.7.1=h313beb8_0
+  - libcxx=17.0.6=he5c5206_4
+  - libffi=3.4.4=hca03da5_1
+  - ncurses=6.4=h313beb8_0
+  - openssl=3.0.16=h02f6b3c_0
+  - pip=25.1=pyhc872135_2
+  - python=3.12.11=h421de30_0
+  - readline=8.2=h1a28f6b_0
+  - setuptools=78.1.1=py312hca03da5_0
+  - sqlite=3.45.3=h80987f9_0
+  - tk=8.6.14=h6ba3021_1
+  - tzdata=2025b=h04d1e81_0
+  - wheel=0.45.1=py312hca03da5_0
+  - xz=5.6.4=h80987f9_1
+  - zlib=1.2.13=h18a0788_1
+  - pip:
+      - annotated-types==0.7.0
+      - anyio==4.9.0
+      - certifi==2025.7.9
+      - charset-normalizer==3.4.2
+      - click==8.2.1
+      - dnspython==2.7.0
+      - fastapi==0.116.1
+      - filelock==3.18.0
+      - fsspec==2025.5.1
+      - h11==0.16.0
+      - hf-xet==1.1.5
+      - huggingface-hub==0.33.4
+      - idna==3.10
+      - jinja2==3.1.6
+      - kobert-tokenizer==0.1
+      - markupsafe==3.0.2
+      - motor==3.7.1
+      - mpmath==1.3.0
+      - networkx==3.5
+      - numpy==2.3.1
+      - packaging==25.0
+      - pydantic==2.11.7
+      - pydantic-core==2.33.2
+      - pydantic-settings==2.10.1
+      - pymongo==4.13.2
+      - python-dotenv==1.1.1
+      - pyyaml==6.0.2
+      - regex==2024.11.6
+      - requests==2.32.4
+      - safetensors==0.5.3
+      - sentencepiece==0.2.0
+      - sniffio==1.3.1
+      - starlette==0.47.1
+      - sympy==1.14.0
+      - tokenizers==0.21.2
+      - torch==2.7.1
+      - tqdm==4.67.1
+      - transformers==4.53.2
+      - typing-extensions==4.14.1
+      - typing-inspection==0.4.1
+      - urllib3==2.5.0
+      - uvicorn==0.35.0

main.py

@@ -1,12 +1,14 @@
-# main.py
+import uvicorn
 from fastapi import FastAPI
 from config import settings
-from db import collection
 from routers.home import router as home_router
+from routers.predict import router as predict_router
 
 app = FastAPI(title=settings.title)
+
+# 라우터 등록
 app.include_router(home_router)
+app.include_router(predict_router)
 
 if __name__ == "__main__":
-    import uvicorn
     uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True)

models/0712_kobert_5_emotion_model/config.json

@@ -0,0 +1,42 @@
+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "author": "Heewon Jeon(madjakarta@gmail.com)",
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "kobert_version": 1.0,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.53.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 8002
+}

models/0712_kobert_5_emotion_model/special_tokens_map.json

@@ -0,0 +1,15 @@
+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

models/0712_kobert_5_emotion_model/tokenizer_config.json

@@ -0,0 +1,64 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {
+    "alpha": 0.6,
+    "enable_sampling": true,
+    "nbest_size": -1
+  },
+  "tokenizer_class": "KoBERTTokenizer",
+  "unk_token": "[UNK]"
+}

requirements.txt

@@ -0,0 +1,42 @@
+annotated-types==0.7.0
+anyio==4.9.0
+certifi==2025.7.14
+charset-normalizer==3.4.2
+click==8.2.1
+dnspython==2.7.0
+fastapi==0.116.1
+filelock==3.18.0
+fsspec==2025.5.1
+h11==0.16.0
+hf-xet==1.1.5
+huggingface-hub==0.33.4
+idna==3.10
+Jinja2==3.1.6
+kobert-tokenizer @ git+https://github.com/SKTBrain/KoBERT.git@fcd729f2f4b37858f333597c0782388ada51eb5f#subdirectory=kobert_hf
+MarkupSafe==3.0.2
+motor==3.7.1
+mpmath==1.3.0
+networkx==3.5
+numpy==2.3.1
+packaging==25.0
+pydantic==2.11.7
+pydantic-settings==2.10.1
+pydantic_core==2.33.2
+pymongo==4.13.2
+python-dotenv==1.1.1
+PyYAML==6.0.2
+regex==2024.11.6
+requests==2.32.4
+safetensors==0.5.3
+sentencepiece==0.2.0
+sniffio==1.3.1
+starlette==0.47.1
+sympy==1.14.0
+tokenizers==0.21.2
+torch==2.7.1
+tqdm==4.67.1
+transformers==4.53.2
+typing-inspection==0.4.1
+typing_extensions==4.14.1
+urllib3==2.5.0
+uvicorn==0.35.0

routers/home.py

@@ -1,4 +1,3 @@
-# routers/home.py
 from fastapi import APIRouter
 from config import settings