improve fixing processing

app.py

@@ -54,8 +54,8 @@ HF_ENDPOINT_URL = "https://evxgv66ksxjlfrts.us-east-1.aws.endpoints.huggingface.
 HF_MODEL = "lmstudio-community/Llama-3.3-70B-Instruct-GGUF"  # Correct model name for your endpoint
 
 # AI Correction Configuration
-MAX_CORRECTION_ATTEMPTS = 2  # Reduced from 3 to speed up processing
-ENABLE_VALIDATION_LOOP = False  # Disable validation loop to prevent hanging
+MAX_CORRECTION_ATTEMPTS = 5  # Increased to allow more retries
+ENABLE_VALIDATION_LOOP = True  # Enable validation loop by default
 
 # OpenAI client configuration for the endpoint
 def get_openai_client():
@@ -430,7 +430,7 @@ def get_ai_correction(validation_results: str, rdf_content: str, template: str =
         # Add timeout protection
         import time
         start_time = time.time()
-        timeout = 60  # 60 second timeout
+        timeout = 120  # Increased to 120 second total timeout
         if steps_log is not None:
             steps_log.append(f"Timeout budget: {timeout}s total")
         
@@ -479,7 +479,7 @@ Return ONLY the corrected {class_name} XML section. No explanations."""
                     ],
                     max_tokens=1000,
                     temperature=0.3,
-                    timeout=20  # Shorter timeout per section
+                    timeout=45  # Increased per-section timeout
                 )
                 
                 corrected_section = chat_completion.choices[0].message.content.strip()
@@ -734,7 +734,7 @@ def get_ai_correction(validation_results: str, rdf_content: str, template: str =
         # Add timeout protection
         import time
         start_time = time.time()
-        timeout = 60  # 60 second timeout
+        timeout = 120  # Increased to 120 second total timeout
         if steps_log is not None:
             steps_log.append(f"Timeout budget: {timeout}s total")
         
@@ -785,7 +785,7 @@ Please provide the corrected RDF/XML that addresses all validation issues.
                     ],
                     max_tokens=2000,
                     temperature=0.3,
-                    timeout=30  # 30 second timeout per API call
+                    timeout=60  # Increased to 60 second timeout per API call
                 )
                 
                 corrected_rdf = chat_completion.choices[0].message.content.strip()
@@ -1101,7 +1101,7 @@ def ensure_rdf_wrapper_and_namespaces(xml_text: str, original_text: Optional[str
 
     return updated
 
-def validate_rdf_interface(rdf_content: str, template: str, use_ai: bool = True, include_warnings: bool = False, iterate_until_valid: bool = False, max_attempts: int = 3, show_steps: bool = False):
+def validate_rdf_interface(rdf_content: str, template: str, use_ai: bool = True, include_warnings: bool = False, iterate_until_valid: bool = True, max_attempts: int = 5, show_steps: bool = True):
     """Main validation function for Gradio interface"""
     if not rdf_content.strip():
         return "❌ Error", "No RDF/XML data provided", "", "", "", "", ""
@@ -1320,14 +1320,14 @@ def create_interface():
                 with gr.Row():
                     iterate_checkbox = gr.Checkbox(
                         label="Iterate until valid",
-                        value=False,
+                        value=True,
                         info="Try multiple correction attempts until validation passes or attempts run out"
                     )
                     max_attempts_slider = gr.Slider(
                         label="Max attempts",
                         minimum=1,
                         maximum=5,
-                        value=3,
+                        value=5,
                         step=1,
                         info="Maximum number of correction attempts when iterating"
                     )