Try again

app.py

@@ -29,7 +29,7 @@ example = """int __fastcall sub_B0D04(int a1, int a2)
   return result;
 }"""
 
-examples = [j["input"] for j in json.load(open("gpt4_juiced_dataset.json"))]
+examples = [json.loads(line)["input"] for line in open("gpt4_juiced_dataset.json", "r")]
 
 # Then create the pipeline with the model and tokenizer
 pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer)