Delete ui

ui/gradio_interface.py

@@ -1,160 +0,0 @@
-import gradio as gr
-from agents.chat import chat_with_gemini
-from agents.compare import compare_selected_cards
-from app import all_card_names,all_card_lookup
-from recommender.recommender import recommend_cards_gradio
-
-# Interface with Tabs
-with gr.Blocks() as demo:
-    gr.Markdown("# Credit Card Recommender")
-    gr.Markdown("Get personalized credit card suggestions based on your lifestyle and eligibility.")
-
-    with gr.Tabs():
-        
-        with gr.Tab(" Get Recommendations"):
-            with gr.Row():
-                user_query = gr.Textbox(
-                    label="Enter your query",
-                    info="E.g., 'Best cards for international travel' or 'I want cashback cards with lounge access'"
-                )
-                preferences = gr.CheckboxGroup(
-                    choices=["Cashback", "Travel Rewards", "Fuel Benefits", "International Lounge access",
-                            "Domestic Lounge access", "Railway benefits", "Dining", "Shopping"],
-                    label="Credit card categories:",
-                    info="Select the features or benefits you want from your credit card"
-                )
-
-            with gr.Accordion("Eligibility filters menu", open=False):
-                with gr.Row():
-                    income = gr.Slider(
-                        minimum=1, maximum=60, step=1,
-                        label="Annual Income (LPA) Minimum requirement is 2.5",
-                        info="Helps filter cards based on your income eligibility (in Lakhs Per Annum)"
-                    )
-                    cibil = gr.Slider(
-                        minimum=300, maximum=900, step=10,
-                        label="CIBIL Score",
-                        info="Most of the cards requires a credit score of 700+"
-                    )
-                    age = gr.Slider(
-                        minimum=18, maximum=75, step=1,
-                        label="Age",
-                        info="Some cards have minimum and maximum age eligibility"
-                    )
-
-                with gr.Row():
-                    min_joining_fee = gr.Number(
-                        label="Min Joining Fee (₹)", value=0,
-                        info="Minimum one-time fee to get the card"
-                    )
-                    max_joining_fee = gr.Number(
-                        label="Max Joining Fee (₹)", value=150000,
-                        info="Maximum one-time fee to get the card"
-                    )
-
-                with gr.Row():
-                    min_annual_fee = gr.Number(
-                        label="Min Annual Fee (₹)", value=0,
-                        info="Minimum yearly fee to be paid"
-                    )
-                    max_annual_fee = gr.Number(
-                        label="Max Annual Fee (₹)", value=150000,
-                        info="Maximum yearly fee to be paid"
-                    )
-
-            with gr.Row():
-                use_eligibility = gr.Checkbox(
-                    label="Apply Eligibility Filter", value=False,
-                    info="Enable this to get recommendations of the cards only for which you are eligible for"
-                )
-                include_cobranded = gr.Checkbox(
-                    label="Include Co-branded Cards", value=True,
-                    info="Include cards that are co-branded with airlines, retailers, etc."
-                )
-
-            submit_btn = gr.Button("Recommend Cards", variant='primary')
-
-            top_card_html = gr.HTML()
-            card_df = gr.Dataframe(headers=["Card Name", "Matched Features", "Description"])
-            card_file = gr.File(label="Download Full Recommendations (CSV)")
-
-        with gr.Tab(" Compare Cards"):
-            gr.Markdown("### Compare Recommended Cards")
-            compare_checkboxes = gr.CheckboxGroup(
-                choices=[], label="Select 2 or more cards to compare",
-                info="Pick 2+ cards from the recommended list to see a comparison"
-            )
-            compare_output = gr.HTML(value="<div style='min-height:100px'></div>", visible=True)
-            compare_btn = gr.Button("Compare Selected Cards", variant='primary')
-
-            gr.Markdown("### Compare Any Cards from Full List")
-            full_compare_dropdown = gr.Dropdown(
-                choices=all_card_names, multiselect=True, label="Select any 2+ cards",
-                info="Manually compare any cards from the full database"
-            )
-            full_compare_btn = gr.Button("Compare Selected Cards", variant='primary')
-            full_compare_output = gr.HTML(value="<div style='min-height:100px'></div>", visible=True)
-
-        with gr.Tab(" Ask Follow-up Questions"):
-            gr.Markdown("### Ask any follow-up question ")
-            chatbot = gr.Chatbot(type='messages')
-            user_query_for_chat = gr.Textbox(
-                label="Enter your question",
-                info="Ask follow-ups like 'Which card has better travel insurance?' or 'Which card has less annual fee'"
-            )
-            submit_query_btn = gr.Button("Submit Query", variant='primary')
-
-    card_names_state = gr.State()
-    card_lookup_state = gr.State()
-    chat_history = gr.State([]) 
-    query = gr.State([])
-
-    def wrapped_recommend_cards(user_query, preferences, income, cibil, age, min_joining_fee, max_joining_fee,
-                        min_annual_fee, max_annual_fee, use_eligibility,include_cobranded):
-        top_html, df, file, card_names, card_lookup, direct_query = recommend_cards_gradio(
-            user_query, preferences, income, cibil, age, min_joining_fee, max_joining_fee,
-            min_annual_fee, max_annual_fee, use_eligibility,include_cobranded
-        )
-        df_label = f"Found {len(card_names)} cards"
-        return top_html, gr.update(value=df, label=df_label), file, card_names, card_lookup, gr.update(choices=card_names, value=[]), direct_query
-
-    submit_btn.click(
-        fn=wrapped_recommend_cards,
-        inputs=[user_query, preferences, income, cibil, age, min_joining_fee, max_joining_fee,
-                min_annual_fee, max_annual_fee, use_eligibility,include_cobranded],
-        outputs=[top_card_html, card_df, card_file, card_names_state, card_lookup_state, compare_checkboxes,query]
-    )
-
-    compare_btn.click(
-        fn=compare_selected_cards,
-        inputs=[compare_checkboxes, card_lookup_state],
-        outputs=compare_output
-    )
-
-    full_compare_btn.click(
-        fn=lambda selected: compare_selected_cards(selected, all_card_lookup),
-        inputs=[full_compare_dropdown],
-        outputs=full_compare_output
-    )
-
-    submit_query_btn.click(
-        fn=chat_with_gemini, 
-        inputs=[query,user_query_for_chat, chat_history, card_lookup_state],
-        outputs=[chatbot, chat_history]
-    ).then(
-        lambda: gr.update(value=""),
-        inputs=[],
-        outputs=[user_query_for_chat]
-    )
-    
-    #for submitting using enter button
-    user_query_for_chat.submit(
-        fn=chat_with_gemini,
-        inputs=[query, user_query_for_chat, chat_history, card_lookup_state],
-        outputs=[chatbot, chat_history],
-        show_progress=True
-    ).then(
-        lambda: gr.update(value=""),
-        inputs=[],
-        outputs=[user_query_for_chat]
-    )