Update app.py

app.py

@@ -99,22 +99,34 @@ def classify_plate_color(plate_img):
 def get_dashboard():
     df = pd.read_sql("SELECT * FROM vehicles", conn)
 
-    fig, ax = plt.subplots(figsize=(6, 4))
+    fig, ax = plt.subplots(figsize=(7, 5))
 
     if len(df) == 0:
         ax.text(0.5, 0.5, "No vehicles scanned yet",
-                ha="center", va="center", fontsize=8)
+                ha="center", va="center", fontsize=12)
         ax.axis("off")
         return fig
 
     counts = df["type"].value_counts()
-    counts.plot(kind="line", ax=ax)
 
-    ax.set_title("Vehicle Classification Dashboard")
-    ax.set_xlabel("Vehicle Type")
-    ax.set_ylabel("Count")
-    ax.grid(axis="y")
+    # Use bar chart instead of line for categorical data
+    counts.plot(kind="bar", ax=ax, color="steelblue")
 
+    ax.set_title("Vehicle Classification Dashboard", fontsize=12)
+    ax.set_xlabel("Vehicle Type", fontsize=10)
+    ax.set_ylabel("Count", fontsize=10)
+
+    # Ensure labels are fully visible
+    ax.set_xticks(range(len(counts.index)))
+    ax.set_xticklabels(counts.index, rotation=0, ha="center")
+
+    ax.grid(axis="y", linestyle="--", alpha=0.6)
+
+    # Add value labels on top of bars
+    for i, v in enumerate(counts.values):
+        ax.text(i, v + 0.05, str(v), ha="center", va="bottom", fontsize=10)
+
+    plt.tight_layout()
     return fig