Delete app

app/main.py

@@ -1,26 +0,0 @@
-from fastapi import FastAPI
-from pydantic import BaseModel
-from app.model.model import predict_pipeline
-from app.model.model import __version__ as model_version
-
-
-app = FastAPI()
-
-
-class TextIn(BaseModel):
-    text: str
-
-
-class PredictionOut(BaseModel):
-    language: str
-
-
-@app.get("/")
-def home():
-    return {"health_check": "OK", "model_version": model_version}
-
-
-@app.post("/predict", response_model=PredictionOut)
-def predict(payload: TextIn):
-    language = predict_pipeline(payload.text)
-    return {"language": language}

app/model/model.py

@@ -1,40 +0,0 @@
-import pickle
-import re
-from pathlib import Path
-
-__version__ = "0.1.0"
-
-BASE_DIR = Path(__file__).resolve(strict=True).parent
-
-
-with open(f"{BASE_DIR}/trained_pipeline-{__version__}.pkl", "rb") as f:
-    model = pickle.load(f)
-
-
-classes = [
-    "Arabic",
-    "Danish",
-    "Dutch",
-    "English",
-    "French",
-    "German",
-    "Greek",
-    "Hindi",
-    "Italian",
-    "Kannada",
-    "Malayalam",
-    "Portugeese",
-    "Russian",
-    "Spanish",
-    "Sweedish",
-    "Tamil",
-    "Turkish",
-]
-
-
-def predict_pipeline(text):
-    text = re.sub(r'[!@#$(),\n"%^*?\:;~`0-9]', " ", text)
-    text = re.sub(r"[[]]", " ", text)
-    text = text.lower()
-    pred = model.predict([text])
-    return classes[pred[0]]

app/model/trained_pipeline-0.1.0.pkl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ab7135c7421b2636cd9fe030d05b883c5ba19ccd13e57195e755a9e43df2bc53
-size 10251835