Update app.py

app.py

@@ -81,8 +81,8 @@ SUMMARY_PLACEHOLDER = "<p><em>Output will appear below:</em></p>"
 AGGREGATE_MODEL = "MBZUAI/LaMini-Flan-T5-783M"  # model to use for aggregation
 
 # if duplicating space: uncomment this line to adjust the max words
-os.environ["APP_MAX_WORDS"] = str(2048)  # set the max words to 2048
-os.environ["APP_OCR_MAX_PAGES"] = str(40)  # set the max pages to 40
+os.environ["APP_MAX_WORDS"] = str(8182)  # set the max words to 2048
+os.environ["APP_OCR_MAX_PAGES"] = str(50)  # set the max pages to 40
 os.environ["APP_AGG_FORCE_CPU"] = str(1)  # force cpu for aggregation
 
 aggregator = BatchAggregator(
@@ -198,7 +198,7 @@ def proc_submission(
     no_repeat_ngram_size: int,
     predrop_stopwords: bool,
     num_beams: int = 3,
-    max_input_length: int = 6144,
+    max_input_length: int = 8182,
 ):
     """
     proc_submission - a helper function for the gradio module to process submissions