Merge pull request #47 from CatchTheTornado/feat_27_llama3.2-vision

[fix] disable_ocr_cache fix

Author: pkarw

client/cli.py

@@ -165,7 +165,7 @@ def main():
     ocr_parser = subparsers.add_parser('ocr_upload', help='Upload a file to the OCR endpoint and get the result.')
     ocr_parser.add_argument('--file', type=str, default='examples/rmi-example.pdf', help='Path to the file to upload')
     ocr_parser.add_argument('--ocr_cache', default=True, action='store_true', help='Enable OCR result caching')
-    ocr_parser.add_argument('--disable_ocr_cache', default=True, action='store_true', help='Disable OCR result caching')
+    ocr_parser.add_argument('--disable_ocr_cache', default=False, action='store_true', help='Disable OCR result caching')
     ocr_parser.add_argument('--prompt', type=str, default=None, help='Prompt used for the Ollama model to fix or transform the file')
     ocr_parser.add_argument('--prompt_file', default=None, type=str, help='Prompt file name used for the Ollama model to fix or transform the file')
     ocr_parser.add_argument('--model', type=str, default='llama3.1', help='Model to use for the Ollama endpoint')
@@ -179,7 +179,7 @@ def main():
     ocr_parser = subparsers.add_parser('ocr', help='Upload a file to the OCR endpoint and get the result.')
     ocr_parser.add_argument('--file', type=str, default='examples/rmi-example.pdf', help='Path to the file to upload')
     ocr_parser.add_argument('--ocr_cache', default=True, action='store_true', help='Enable OCR result caching')
-    ocr_parser.add_argument('--disable_ocr_cache', default=True, action='store_true', help='Disable OCR result caching')    
+    ocr_parser.add_argument('--disable_ocr_cache', default=False, action='store_true', help='Disable OCR result caching')    
     ocr_parser.add_argument('--prompt', type=str, default=None, help='Prompt used for the Ollama model to fix or transform the file')
     ocr_parser.add_argument('--prompt_file', default=None, type=str, help='Prompt file name used for the Ollama model to fix or transform the file')
     ocr_parser.add_argument('--model', type=str, default='llama3.1', help='Model to use for the Ollama endpoint')
@@ -194,7 +194,7 @@ def main():
     ocr_request_parser = subparsers.add_parser('ocr_request', help='Upload a file to the OCR endpoint via JSON and get the result.')
     ocr_request_parser.add_argument('--file', type=str, default='examples/rmi-example.pdf', help='Path to the file to upload')
     ocr_request_parser.add_argument('--ocr_cache', default=True, action='store_true', help='Enable OCR result caching')
-    ocr_request_parser.add_argument('--disable_ocr_cache', default=True, action='store_true', help='Disable OCR result caching')
+    ocr_request_parser.add_argument('--disable_ocr_cache', default=False, action='store_true', help='Disable OCR result caching')
     ocr_request_parser.add_argument('--prompt', type=str, default=None, help='Prompt used for the Ollama model to fix or transform the file')
     ocr_request_parser.add_argument('--prompt_file', default=None, type=str, help='Prompt file name used for the Ollama model to fix or transform the file')
     ocr_request_parser.add_argument('--model', type=str, default='llama3.1', help='Model to use for the Ollama endpoint')