Update app.py

app.py

@@ -1,12 +1,17 @@
 import gradio as gr
 from transformers import pipeline
+import os
 
 # Load your pre-trained model
 model = pipeline("text-classification", model="i0xs0/Text_Classifiction", tokenizer="i0xs0/Text_Classifiction")
 
-
-def predict_emotion(text):
+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}