feat: Added application file

config/config.ini

@@ -1,6 +1,6 @@
 [data]
-data_dir = C:\Users\kbuzlu\PycharmProjects\SentimentIntentionAnalysis\data\data.json
-possible_labels_dir = C:\Users\kbuzlu\PycharmProjects\SentimentIntentionAnalysis\data\possible_labels.json
+data_dir = .\data\data.json
+possible_labels_dir = .\data\possible_labels.json
 
 [model]
 name = facebook/bart-large-mnli

src/api.py

@@ -1,18 +1,13 @@
 import configparser
 
 from fastapi import FastAPI
-from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
 from SentimentAndIntentionAnalysis import ZeroShotClassifier
 from data_loader import *
 
 # Initialize FastAPI app
 app = FastAPI()
-app.add_middleware(CORSMiddleware,
-                   allow_origins=["http://localhost:8501"],
-                   allow_credentials=True,
-                   allow_methods=["*"],
-                   allow_headers=["*"],)
+
 #Get model_name, data_path and labels_path
 model_name, data_path, labels_path = get_config()
 
@@ -33,8 +28,5 @@ def analyze_text(data: Text):
     result = analyzer.analyze_text(data.text)
     return AnalysisResult(sentiment=result["sentiment"], intention=result["intention"])
 
-if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run("api:app", host="0.0.0.0", port=8000, reload=True)
 
 

src/data_loader.py

@@ -3,7 +3,7 @@ import json
 def get_config():
     # Read config
     config = configparser.ConfigParser()
-    config.read(r"C:\Users\kbuzlu\PycharmProjects\SentimentIntentionAnalysis\config\config.ini")
+    config.read(r".\config\config.ini")
 
     # Get model_name
     model_name = config["model"]["name"]