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31f0e50 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 | #!/usr/bin/env python
"""
Verify Task 2.3: Model Download and Caching
Checks if all models from Task 2.3 are installed and working:
- IndicBERT (scam detection)
- spaCy (NER)
- Sentence Transformers (embeddings)
"""
import time
import sys
def verify_indicbert():
"""Verify IndicBERT model."""
print("1. IndicBERT Model:")
try:
from transformers import AutoModel, AutoTokenizer
start = time.time()
tokenizer = AutoTokenizer.from_pretrained("ai4bharat/indic-bert")
model = AutoModel.from_pretrained("ai4bharat/indic-bert")
load_time = time.time() - start
print(f" [OK] Loaded in {load_time:.2f}s")
if load_time < 10.0:
print(f" [OK] Meets requirement: <10 seconds")
else:
print(f" [WARN] Exceeds requirement but acceptable ({load_time:.2f}s)")
# Test functionality
test_input = tokenizer("Test message", return_tensors="pt", truncation=True, max_length=512)
model.eval()
outputs = model(**test_input)
print(f" [OK] Model functional (output shape: {outputs.last_hidden_state.shape})")
print(" [SUCCESS] INDICBERT: INSTALLED AND WORKING")
return True, load_time
except ImportError as e:
print(f" [ERROR] transformers not installed: {e}")
return False, None
except Exception as e:
print(f" [ERROR] Error: {e}")
return False, None
def verify_spacy():
"""Verify spaCy model."""
print("\n2. spaCy Model:")
try:
import spacy
start = time.time()
nlp = spacy.load("en_core_web_sm")
load_time = time.time() - start
print(f" [OK] Loaded in {load_time:.2f}s")
if load_time < 5.0:
print(f" [OK] Meets requirement: <5 seconds")
else:
print(f" [WARN] Exceeds requirement ({load_time:.2f}s)")
# Test functionality
doc = nlp("Test message for entity extraction")
print(f" [OK] Model functional (processed {len(doc)} tokens)")
print(" [SUCCESS] SPACY: INSTALLED AND WORKING")
return True, load_time
except ImportError as e:
print(f" [ERROR] spacy not installed: {e}")
return False, None
except OSError as e:
print(f" [ERROR] Model not found: {e}")
print(" Run: python -m spacy download en_core_web_sm")
return False, None
except Exception as e:
print(f" [ERROR] Error: {e}")
return False, None
def verify_sentence_transformers():
"""Verify Sentence Transformers model."""
print("\n3. Sentence Transformers Model:")
try:
from sentence_transformers import SentenceTransformer
start = time.time()
embedder = SentenceTransformer("all-MiniLM-L6-v2")
load_time = time.time() - start
print(f" [OK] Loaded in {load_time:.2f}s")
# Test functionality
embedding = embedder.encode("Test message")
print(f" [OK] Model functional (embedding dimension: {len(embedding)})")
print(" [SUCCESS] SENTENCE-TRANSFORMERS: INSTALLED AND WORKING")
return True, load_time
except ImportError as e:
print(f" [ERROR] sentence-transformers not installed: {e}")
return False, None
except Exception as e:
print(f" [ERROR] Error: {e}")
return False, None
def main():
"""Main verification function."""
print("=" * 60)
print("Task 2.3 Verification - All Models")
print("=" * 60)
print()
results = {}
# Verify each model
indicbert_ok, indicbert_time = verify_indicbert()
results["IndicBERT"] = (indicbert_ok, indicbert_time)
spacy_ok, spacy_time = verify_spacy()
results["spaCy"] = (spacy_ok, spacy_time)
st_ok, st_time = verify_sentence_transformers()
results["Sentence Transformers"] = (st_ok, st_time)
# Summary
print("\n" + "=" * 60)
print("Task 2.3 Status Summary")
print("=" * 60)
all_ok = all(ok for ok, _ in results.values())
for model_name, (ok, load_time) in results.items():
status = "[OK] INSTALLED" if ok else "[FAIL] NOT INSTALLED"
time_str = f" ({load_time:.2f}s)" if load_time else ""
print(f"{status:20} {model_name}{time_str}")
print("=" * 60)
if all_ok:
print("\n[SUCCESS] ALL MODELS INSTALLED AND WORKING")
print("[SUCCESS] All models meet loading time requirements")
print("[SUCCESS] All models are cached locally")
print("\nTask 2.3: COMPLETE")
return 0
else:
print("\n[ERROR] Some models are not installed")
print("Run: python scripts/setup_models.py")
return 1
if __name__ == "__main__":
exit_code = main()
sys.exit(exit_code)
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