Remove unused environment variable and improve error handling in analysis endpoint

Dockerfile

@@ -4,8 +4,6 @@ WORKDIR /app
 
 COPY . /app
 
-ENV HUGGINGFACE_DISABLE_CACHE=1
-
 RUN pip install --no-cache-dir -r requirements.txt
 
 CMD ["gunicorn", "-b", "0.0.0.0:7860", "app:app"]

app.py

@@ -1,4 +1,5 @@
 import os
+# Default /.cache/huggingface ci vengono scaricati i modelli
 os.environ["HF_HOME"] = "/tmp/huggingface"
 
 from flask import Flask, jsonify, request
@@ -10,14 +11,16 @@ from urllib.parse import unquote
 app = Flask(__name__)
 CORS(app)
 
+# Endpoint '/'
 @app.route('/')
 def home():
     return jsonify({"message": "API is running!"})
 
+# Endpoint '/analisis'
 @app.route('/analisis', methods=['GET'])
 def analisis():
-    prompt = request.args.get('prompt')
-    prompt = unquote(request.args.get('prompt', ''))
+    prompt = request.args.get('prompt', '')
+    prompt = unquote(prompt)
 
     if not prompt:
         return jsonify({"error": "No prompt provided"}), 400

model/sentiment.py

@@ -1,8 +1,9 @@
-from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer
+from transformers import pipeline
 from typing import Any
 
 class Sentiment:
     def __init__(self, line: str) -> (list | list[Any] | Any | None):
+        # self = this in C#
         self.pipe = pipeline("text-classification", model="MilaNLProc/feel-it-italian-sentiment")
         self.result = self.pipe(line)