Update app.py

app.py

@@ -2,15 +2,13 @@ import gradio as gr
 from transformers import pipeline
 import os
 
-model = pipeline("text-classification", model="i0xs0/Text_Classifiction_V2", tokenizer="i0xs0/Text_Classifiction_V2")
+model = pipeline("text-classification", model="i0xs0/Text_Classification_V2", tokenizer="i0xs0/Text_Classification_V2")
+
 
-if not os.path.exists(".logs"):
-    os.makedirs(".logs")
     
 def predict_emotion(text):
 
-    with open(".logs/user_logs.txt", "a") as log_file:
-        log_file.write(f"User input: {text}\n")
+
     results = model(text)  
     return {item["label"]: item["score"] for item in results}