Delete app.py

app.py

@@ -1,42 +0,0 @@
-import json
-import pandas as pd
-from ui.gradio_interface import demo
-
-#for adding bank name to the cards in the graph
-eligibility_df = pd.read_csv("cards_eligibility_updated.csv")
-card_to_bank = dict(zip(eligibility_df['Name'], eligibility_df['Bank']))
-
-# Loading credit card data
-df = pd.read_csv("credit_card_data_updated.csv")
-card_descriptions = dict(zip(df["name"], df["description"]))
-
-# Loading all 55 cards for comparison feature
-df_all_cards = pd.read_csv("credit_card_data_updated.csv") 
-all_card_names = df_all_cards["name"].tolist()
-all_card_lookup = dict(zip(df_all_cards["name"], df_all_cards["description"]))
-    
-with open('for_graph_construction_(expanded labels).json') as f:
-    card_feature_data = json.load(f)
-
-card_features_lookup = {
-    card['card_name']: set(card['features'])
-    for card in card_feature_data
-}
-
-
-#function for the chatbot functionality
-eligibility_lookup = {}
-for _, row in eligibility_df.iterrows():
-    card_name = row["Name"].strip()
-    eligibility_info = f"""
-        - Bank: {row['Bank']}
-        - Age: {row['Minimum Age']} to {row['Maximum Age']}
-        - Minimum Income: {row['Minimum Income (LPA)']} LPA
-        - Minimum Credit Score: {row['Minimum Credit Score']}
-        - Joining Fee: ₹{row['Joining fee']}
-        - Annual Fee: ₹{row['Annual fee']}
-    """
-    eligibility_lookup[card_name] = eligibility_info.strip()
-    
-
-demo.launch(share=True)