Update app.py

app.py

@@ -19,13 +19,13 @@ def create_spark_dataframe(text):
     return df
 
 # Read the "War and Peace" text file and create Spark DataFrame
-with open('/content/data/war_and_peace.txt', 'r') as file:
+with open('war_and_peace.txt', 'r') as file:
     text = file.read()
 df_chapters = create_spark_dataframe(text)
 
 # Define the Llama models
-MODEL_Q8_0 = Llama(model_path="./models/llama-2-7b-chat.ggmlv3.q8_0.bin", n_ctx=8192, n_batch=512)
-MODEL_Q2_K = Llama(model_path="./models/llama-2-7b-chat.ggmlv3.q2_K.bin", n_ctx=8192, n_batch=512)
+MODEL_Q8_0 = Llama(model_path="llama-2-7b-chat.ggmlv3.q8_0.bin", n_ctx=8192, n_batch=512)
+MODEL_Q2_K = Llama(model_path="llama-2-7b-chat.ggmlv3.q2_K.bin", n_ctx=8192, n_batch=512)
 
 # Function to summarize a chapter using the selected model
 def llama2_summarize(chapter_text, model_version):