Update README.md

README.md

@@ -145,10 +145,10 @@ def extract_components(address, max_new_tokens=200):
     return process_address_with_reasoning(prompt, max_new_tokens)
 
 # Test cases based on training script examples
-print("
-🏠 MULTI-TASK ADDRESS MODEL EXAMPLES")
+print("""
+🏠 MULTI-TASK ADDRESS MODEL EXAMPLES""")
 print("=" * 60)
-print("🧠 Testing Chain of Thought reasoning + Geographic Q&A")
+print("""🧠 Testing Chain of Thought reasoning + Geographic Q&A""")
 print("📊 Model trained with LoRA r=64, alpha=128 for complex reasoning")
 print("=" * 60)
 
@@ -160,13 +160,13 @@ test_addresses = [
     "dlf cyber city gurgaon haryana"
 ]
 
-print(f"
-🔧 TESTING ADDRESS CORRECTION WITH CHAIN OF THOUGHT:")
+print(f"""
+🔧 TESTING ADDRESS CORRECTION WITH CHAIN OF THOUGHT:""")
 print("-" * 50)
 
 for i, test_address in enumerate(test_addresses, 1):
-    print(f"
-📍 Test {i}: {test_address}")
+    print(f"""
+📍 Test {i}: {test_address}""")
     result = fix_address_with_reasoning(test_address)
     print(f"🤖 Chain of Thought Response:")
     print(f"   {result}")
@@ -186,19 +186,19 @@ qa_tests = [
     "What cities are in Maharashtra?"
 ]
 
-print(f"
-❓ TESTING GEOGRAPHIC Q&A:")
+print(f"""
+❓ TESTING GEOGRAPHIC Q&A:""")
 print("-" * 50)
 
 for i, question in enumerate(qa_tests[:8], 1):  # Test first 8 questions
-    print(f"
-❓ Q{i}: {question}")
+    print(f"""
+❓ Q{i}: {question}""")
     result = answer_geographic_question(question)
     print(f"🤖 Answer: {result}")
 
 # Test component extraction
-print(f"
-📊 TESTING COMPONENT EXTRACTION:")
+print(f"""
+📊 TESTING COMPONENT EXTRACTION:""")
 print("-" * 50)
 
 extraction_tests = [
@@ -208,16 +208,16 @@ extraction_tests = [
 ]
 
 for i, test_address in enumerate(extraction_tests, 1):
-    print(f"
-📊 Extract {i}: {test_address}")
+    print(f"""
+📊 Extract {i}: {test_address}""")
     result = extract_components(test_address)
     print(f"🤖 Components: {result}")
 
-print(f"
-✅ ALL TESTS COMPLETED!")
-print(f"🧠 Model demonstrates Chain of Thought reasoning")
-print(f"📍 Geographic knowledge from NER training data")
-print(f"🔧 Address correction with detailed analysis")
+print(f"""
+✅ ALL TESTS COMPLETED!""")
+print(f"""🧠 Model demonstrates Chain of Thought reasoning""")
+print(f"""📍 Geographic knowledge from NER training data""")
+print(f"""🔧 Address correction with detailed analysis""")
 ```
 
 ## 🧠 Training Methodology