Delete analytics_dashboard.py

analytics_dashboard.py

@@ -1,64 +0,0 @@
-import gradio as gr
-import pandas as pd
-import matplotlib.pyplot as plt
-import json
-from io import BytesIO
-from datetime import datetime
-from PIL import Image, ImageDraw
-
-def load_usage_data():
-    """load usage_log.json file to be DataFrame"""
-    try:
-        with open("usage_log.json", "r") as f:
-            data = json.load(f)
-        if not data.get("runs"):
-            return None
-
-        df = pd.DataFrame(data["runs"])
-        df["timestamp"] = pd.to_datetime(df["timestamp"], errors='coerce')
-        df.dropna(subset=["timestamp"], inplace=True)
-        df["date"] = df["timestamp"].dt.date
-        return df
-    except Exception as e:
-        print(f"Error loading usage data: {e}")
-        return None
-
-def plot_daily_usage(df):
-    try:
-        counts = df.groupby("date").size()
-        fig, ax = plt.subplots(figsize=(8, 4))
-        counts.plot(kind="bar", ax=ax, color="#4A90E2")
-        ax.set_title("Daily Usage of PawMatch AI")
-        ax.set_xlabel("Date")
-        ax.set_ylabel("Runs")
-        ax.grid(axis='y', linestyle='--', alpha=0.7)
-        plt.xticks(rotation=45)
-        plt.tight_layout()
-
-        buf = BytesIO()
-        plt.savefig(buf, format="png")
-        plt.close(fig)
-        buf.seek(0)
-        return buf
-    except Exception as e:
-        return f"Error generating plot: {e}"
-
-def create_analytics_tab():
-    def generate_plot():
-        df = load_usage_data()
-        if df is None or df.empty:
-            img = Image.new("RGB", (600, 200), color=(255, 255, 255))
-            draw = ImageDraw.Draw(img)
-            draw.text((20, 80), "No usage data available.", fill=(0, 0, 0))
-            return img
-    
-        return plot_daily_usage(df)
-
-
-    with gr.Tab("\ud83d\udcca Usage Analytics"):
-        gr.Markdown("### Daily Usage Trend of PawMatch AI")
-        with gr.Row():
-            img = gr.Image(type="pil", label="Daily Usage", show_label=True)
-        plot_btn = gr.Button("\ud83d\udd04 Refresh")
-
-        plot_btn.click(fn=generate_plot, outputs=[img])