Update app.py

app.py

@@ -1,6 +1,5 @@
 import pandas as pd
 import numpy as np
-import json
 from sklearn.model_selection import train_test_split
 from sklearn.linear_model import LinearRegression, LogisticRegression
 from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
@@ -20,31 +19,9 @@ import logging
 # Set up logging
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 
-# Load Instagram data
-logging.info("Loading Instagram data...")
-data = pd.read_csv('train_data.csv')
-
-# Load Instagram secrets book
-logging.info("Loading Instagram secrets book...")
-with open('Instagram_Secrets_Full.json', 'r') as f:
-    instagram_secrets = json.load(f)
-
-# Extract tips and tricks from the book
-logging.info("Extracting tips and tricks from the book...")
-tips = []
-for section in instagram_secrets.values():
-    if isinstance(section, dict):
-        for key, value in section.items():
-            if isinstance(value, str):
-                tips.append(value)
-            elif isinstance(value, list):
-                tips.extend(value)
-    elif isinstance(section, list):
-        tips.extend(section)
-
-# Preprocess tips (e.g., remove duplicates, clean text)
-tips = list(set(tips))  # Remove duplicates
-logging.info(f"Extracted {len(tips)} unique tips from the book.")
+# Load data
+logging.info("Loading data...")
+data = pd.read_csv('processed_instagram_data.csv')
 
 # Feature Engineering
 logging.info("Performing feature engineering...")