Update app.py

app.py

@@ -27,7 +27,7 @@ longformer_tokenizer = LongformerTokenizer.from_pretrained("allenai/longformer-b
 longformer_model = LongformerModel.from_pretrained("allenai/longformer-base-4096")
 
 # Load prompts for randomization
-df = pd.read_csv('prompts.csv', header=None)
+def = pd.read_csv('prompts.csv', header=None)
 prompt_values = df.values.flatten()
 
 # Load LoRAs from JSON file
@@ -45,7 +45,7 @@ pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype, vae=taef
 
 MAX_SEED = 2**32 - 1
 
-ef process_input(input_text):
+def process_input(input_text):
     # Tokenize and truncate input
     inputs = clip_processor(text=input_text, return_tensors="pt", padding=True, truncation=True, max_length=77)
     return inputs