Add application file

app.py

@@ -4,7 +4,7 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 from scipy.special import softmax
 from typing import Dict
 
-# Set TRANSFORMERS_CACHE to a writable directory
+# Set the TRANSFORMERS_CACHE environment variable to a writable directory
 os.environ["TRANSFORMERS_CACHE"] = "/tmp/.cache"
 
 app = FastAPI()
@@ -38,3 +38,7 @@ def analyze_sentiment(tweet: str) -> Dict[str, float]:
 async def analyze_sentiment_endpoint(tweet: str = Query(..., description="The tweet to analyze")):
     sentiment_scores = analyze_sentiment(tweet)
     return {"sentiment": sentiment_scores}
+
+# To run the application:
+# 1. Save this code as `main.py`.
+# 2. Run the command `uvicorn main:app --reload`.