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Janchatbot.py
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Janchatbot.py
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import os
import json
from keras.models import load_model
# Define base directory and paths to data and model directories
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
DATA_DIR = os.path.join(BASE_DIR, 'data')
MODELS_DIR = os.path.join(BASE_DIR, 'models')
INTENTS_FILE = os.path.join(DATA_DIR, 'intents.json')
MODEL_FILE = os.path.join(MODELS_DIR, 'chatbot_model.h5')
print("Base directory:", BASE_DIR)
print("Data directory:", DATA_DIR)
print("Models directory:", MODELS_DIR)
print("Intents file path:", INTENTS_FILE)
print("Model file path:", MODEL_FILE)
# Check if files exist
print("Intents file exists:", os.path.exists(INTENTS_FILE))
print("Model file exists:", os.path.exists(MODEL_FILE))
# Load intents data if the file exists
if os.path.exists(INTENTS_FILE):
try:
with open(INTENTS_FILE) as file:
intents = json.load(file)
except Exception as e:
print("Error loading intents file:", e)
intents = {}
else:
print("Intents file not found!")
intents = {}
# Load trained model if the file exists
if os.path.exists(MODEL_FILE):
try:
model = load_model(MODEL_FILE)
except Exception as e:
print("Error loading model file:", e)
model = None
else:
print("Model file not found!")
model = None
# Make sure the model is not None before proceeding
if model is not None:
print("Model loaded successfully!")
else:
print("Unable to load model. Exiting.")
exit()
# Now you can continue with the rest of your code