Update app.py

app.py

@@ -6,28 +6,28 @@ import os
 from datetime import datetime
 
 
-examples = []
-if os.path.exists("assets/examples.txt"):
-    with open("assets/examples.txt", "r", encoding="utf8") as file:
-        for sentence in file:
-            sentence = sentence.strip()
-            examples.append(sentence)
-else:
-    examples = [
-        "Ends tonight! Shop select certifiably comfortable shoes!",
-        "Just Do it!",
-        "Don't miss our products!",
-        "What are some of your favorite jokes? Let us know!",
-        "Is anyone being creative with their snow day?",
-        "Did you see our latest movie?",
-        "Hey beautiful people! What would you like to see us doing more (or less) of!",
-        "In fact, we discovered that Woollip works better than what we imagined.",
-        "It is made of Titanium Grade 5, a material famous for being very strong yet very light.",
-        "Each game already comes with six characters.",
-        "We thank you personally for the trust you are putting in us and our company.",
-        "I wear it everyday and am very happy with it!",
-        "We are so grateful for our everyday heroes who never cease to amaze us!"
-    ]
+# examples = []
+# if os.path.exists("assets/examples.txt"):
+#     with open("assets/examples.txt", "r", encoding="utf8") as file:
+#         for sentence in file:
+#             sentence = sentence.strip()
+#             examples.append(sentence)
+# else:
+examples = [
+    "Ends tonight! Shop select certifiably comfortable shoes!",
+    "Just Do it!",
+    "Don't miss our products!",
+    "What are some of your favorite jokes? Let us know!",
+    "Is anyone being creative with their snow day?",
+    "Did you see our latest movie?",
+    "Hey beautiful people! What would you like to see us doing more (or less) of!",
+    "In fact, we discovered that Woollip works better than what we imagined.",
+    "It is made of Titanium Grade 5, a material famous for being very strong yet very light.",
+    "Each game already comes with six characters.",
+    "We thank you personally for the trust you are putting in us and our company.",
+    "I wear it everyday and am very happy with it!",
+    "We are so grateful for our everyday heroes who never cease to amaze us!"
+]
 
 device = torch.device('cpu')
 tokenizer = BertTokenizer.from_pretrained("Oliver12315/Brand_Tone_of_Voice")