Try examples again

app.py

@@ -29,7 +29,6 @@ and I reused some of their own code to do this.
 ## Todo
 
 * Add field decoding (probably needs Docker)
-* Add examples
 
 """
 
@@ -56,7 +55,10 @@ v5 = a3;
 return sub_411142(a1, a2, &v4);
 }"""
 
-examples = open("examples.txt", "r").readlines()
+examples = [
+    ex.encode().decode("unicode_escape") for ex in open("examples.txt", "r").readlines()
+]
+
 
 @spaces.GPU
 def infer(code):
@@ -83,7 +85,9 @@ def infer(code):
 
     print(f"Prompt:\n{var_prompt}")
 
-    input_ids = tokenizer.encode(var_prompt, return_tensors="pt").cuda()[:, : 8192 - 1024]
+    input_ids = tokenizer.encode(var_prompt, return_tensors="pt").cuda()[
+        :, : 8192 - 1024
+    ]
     var_output = vardecoder_model.generate(
         input_ids=input_ids,
         max_new_tokens=1024,
@@ -127,10 +131,10 @@ demo = gr.Interface(
     ],
     outputs=[
         gr.Text(label="Var Decoder Output"),
-        #gr.Text(label="Field Decoder Output"),
+        # gr.Text(label="Field Decoder Output"),
         gr.Text(label="Generated Variable List"),
     ],
     description=description,
-    examples=examples
+    examples=examples,
 )
 demo.launch()