Hemang1915 commited on
Commit
693e9be
·
1 Parent(s): 24c8ebb

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -2
app.py CHANGED
@@ -11,7 +11,6 @@ from stable_baselines3 import PPO
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  app = FastAPI(title="Transaction Classifier API", description="API for classifying banking transactions.")
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  print("FastAPI app initialized...")
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- # Lazy-loaded resources
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  model = None
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  tokenizer = None
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  le_category = None
@@ -114,7 +113,6 @@ async def predict(request: TransactionRequest):
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  model, tokenizer, le_category, le_subcategory = load_resources()
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  num_subcategories = len(le_subcategory.classes_)
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- # Fixed: Use request.description instead of description
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  seq = tokenizer.texts_to_sequences([request.description])
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  pad = pad_sequences(seq, maxlen=max_len, padding='post')
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  pred = model.predict(pad, verbose=0)
@@ -123,8 +121,10 @@ async def predict(request: TransactionRequest):
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  ppo = load_ppo_model()
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  obs = pad[0]
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  action, _ = ppo.predict(obs)
 
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  cat_idx = action // num_subcategories
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  subcat_idx = action % num_subcategories
 
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  else:
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  cat_probs = pred[0][0]
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  subcat_probs = pred[1][0]
@@ -136,6 +136,7 @@ async def predict(request: TransactionRequest):
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  cat_conf = float(pred[0][0][cat_idx] * 100)
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  subcat_conf = float(pred[1][0][subcat_idx] * 100)
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  return {
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  "category": cat_pred,
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  "subcategory": subcat_pred,
 
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  app = FastAPI(title="Transaction Classifier API", description="API for classifying banking transactions.")
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  print("FastAPI app initialized...")
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  model = None
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  tokenizer = None
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  le_category = None
 
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  model, tokenizer, le_category, le_subcategory = load_resources()
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  num_subcategories = len(le_subcategory.classes_)
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  seq = tokenizer.texts_to_sequences([request.description])
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  pad = pad_sequences(seq, maxlen=max_len, padding='post')
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  pred = model.predict(pad, verbose=0)
 
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  ppo = load_ppo_model()
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  obs = pad[0]
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  action, _ = ppo.predict(obs)
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+ print(f"RL Action: {action}, Observation: {obs}")
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  cat_idx = action // num_subcategories
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  subcat_idx = action % num_subcategories
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+ print(f"RL cat_idx: {cat_idx}, subcat_idx: {subcat_idx}")
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  else:
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  cat_probs = pred[0][0]
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  subcat_probs = pred[1][0]
 
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  cat_conf = float(pred[0][0][cat_idx] * 100)
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  subcat_conf = float(pred[1][0][subcat_idx] * 100)
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+ print(f"Predicted: category={cat_pred}, subcategory={subcat_pred}")
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  return {
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  "category": cat_pred,
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  "subcategory": subcat_pred,