Delete evtracker.py

evtracker.py

@@ -1,47 +0,0 @@
-import pandas as pd
-import gradio as gr
-
-# 1. The Database (Hardcoded directly, no CSV needed!)
-ev_data = {
-    "Model": ["Bounce Infinity E1", "TVS iQube", "Bajaj Chetak", "Ather 450X", "Ola S1 Pro", "Hero Vida V1"],
-    "Price (INR)": [79000, 123000, 122000, 138000, 147000, 145000],
-    "Real Range (km)": [85, 100, 90, 105, 143, 110],
-    "Top Speed (kmph)": [65, 78, 73, 90, 120, 80],
-    "Charging Time (Hrs)": [4.0, 4.5, 4.0, 5.5, 6.5, 6.0]
-}
-df = pd.DataFrame(ev_data)
-
-# 2. The Search Logic
-def recommend_ev(max_budget, min_range):
-    # Filter the dataframe based on user slider inputs
-    filtered_df = df[(df["Price (INR)"] <= max_budget) & (df["Real Range (km)"] >= min_range)]
-    
-    # Sort the results so the cheapest options appear at the top
-    filtered_df = filtered_df.sort_values(by="Price (INR)")
-    
-    return filtered_df
-
-# 3. The Frontend Architecture
-with gr.Blocks(theme=gr.themes.Soft()) as app:
-    gr.Markdown("# 🛵 Smart EV Tracker & Recommender")
-    gr.Markdown("Filter the current electric two-wheeler market based on your exact constraints.")
-    
-    with gr.Row():
-        # Left Column: User Controls
-        with gr.Column(scale=1):
-            gr.Markdown("### Search Filters")
-            budget_slider = gr.Slider(minimum=50000, maximum=160000, step=5000, value=90000, label="Maximum Budget (₹)")
-            range_slider = gr.Slider(minimum=50, maximum=150, step=5, value=75, label="Minimum Range Required (km)")
-            search_btn = gr.Button("Find My EV", variant="primary")
-            
-        # Right Column: Data Output
-        with gr.Column(scale=2):
-            gr.Markdown("### Recommended Models")
-            output_table = gr.Dataframe(headers=["Model", "Price (INR)", "Real Range (km)", "Top Speed (kmph)", "Charging Time (Hrs)"])
-
-    # Wire the button to the logic function
-    search_btn.click(fn=recommend_ev, inputs=[budget_slider, range_slider], outputs=output_table)
-
-# Launch the app
-if __name__ == "__main__":
-    app.launch()