Update app.py

app.py

@@ -59,7 +59,7 @@ if st.button("開始搜索"):
         st.write(f"MOMO 最高價格: {momo_df['price'].max():.2f}")
         st.write(f"MOMO 最低價格: {momo_df['price'].min():.2f}")
         
-        # MOMO visualization
+        # MOMO visualization - Unified with PCHOME
         font_url = "https://drive.google.com/uc?id=1eGAsTN1HBpJAkeVM57_C7ccp7hbgSz3_&export=download"
         font_response = requests.get(font_url)
         with open("TaipeiSansTCBeta-Regular.ttf", "wb") as font_file:
@@ -67,17 +67,16 @@ if st.button("開始搜索"):
         fm.fontManager.addfont("TaipeiSansTCBeta-Regular.ttf")
         mpl.rc('font', family='Taipei Sans TC Beta')
         
-        fig, ax = plt.subplots(figsize=(30, 15))
-        momo_df['price'][:70].plot(ax=ax, marker='o', linestyle='-', color='skyblue', linewidth=2, markersize=8)
-        plt.title(f'MOMO 電商網站上 "{search_keyword}" 的銷售價格', fontsize=30, fontweight='bold', color='navy')
-        plt.axhline(y=momo_avg_price, color='red', linestyle='--', linewidth=2, label=f'參考價格: {momo_avg_price:.2f}')
-        plt.xlabel('商品索引', fontsize=20, color='gray')
-        plt.ylabel('價格', fontsize=20, color='gray')
-        plt.legend(fontsize=12, loc='upper left')
-        plt.grid(axis='y', linestyle='--', alpha=0.5)
-        plt.xticks(rotation=45, ha='right', fontsize=12, color='gray')
-        plt.yticks(fontsize=12, color='gray')
-        ax.set_facecolor('#f8f8f8')
+        fig, ax = plt.subplots(figsize=(15, 8))
+        ax.plot(momo_df.index[:70], momo_df['price'][:70], 'o', color='skyblue', markersize=8)
+        ax.set_title(f'MOMO 電商網站上 "{search_keyword}" 的銷售價格', fontsize=20, fontweight='bold')
+        ax.axhline(y=momo_avg_price, color='red', linestyle='--', linewidth=2, label=f'參考價格: {momo_avg_price:.2f}')
+        ax.set_xlabel('商品索引', fontsize=14)
+        ax.set_ylabel('價格', fontsize=14)
+        ax.tick_params(axis='x', rotation=45, labelsize=12)
+        ax.tick_params(axis='y', labelsize=12)
+        ax.legend(fontsize=12, loc='upper left')
+        ax.grid(axis='y', linestyle='--', alpha=0.7)
         plt.tight_layout()
         st.pyplot(fig)
     else: