Update app.py

app.py

@@ -18,6 +18,10 @@ st.title("🐣MOMO 🆚 PCHOME 商品搜索和價格分析👁️‍🗨️")
 search_keyword = st.text_input("請輸入要搜索的關鍵字: ", "筆電")
 page_number = st.number_input("請輸入要搜索的頁數: ", min_value=1, max_value=100, value=1, step=1)
 
+# Date range input for Pytrends
+start_date = st.date_input("選擇開始日期", value=datetime.today() - timedelta(days=30))
+end_date = st.date_input("選擇結束日期", value=datetime.today())
+
 # Create a button to start the scraping process
 if st.button("開始搜索"):
     start_time = time.time()
@@ -173,13 +177,14 @@ if st.button("開始搜索"):
 
     # Pytrends Analysis
     pytrend = TrendReq(hl="zh-TW", tz=-480)
-    keywords = search_keyword #20240204換關鍵字
+    keywords = [search_keyword] # 使用列表形式
     pytrend.build_payload(
         kw_list=keywords,
         cat=3,
-        timeframe="2024-06-18 2024-06-24", 
+        timeframe=f"{start_date} {end_date}",
         geo="TW",
-        gprop="")
+        gprop=""
+    )
     
     df = pytrend.interest_over_time()
     if "isPartial" in df.columns:
@@ -189,7 +194,7 @@ if st.button("開始搜索"):
     fig, ax = plt.subplots(figsize=(12, 8), dpi=80)
     ax.plot(df.index, df[keywords[0]], label=keywords[0], lw=3.0, marker='o', markersize=8, color='#4285F4', linestyle='-')
     
-    ax.set_title("Interest Over Time for "+search_keyword, fontsize=20, fontweight='bold', color='#4285F4')
+    ax.set_title("Interest Over Time for " + search_keyword, fontsize=20, fontweight='bold', color='#4285F4')
     ax.set_xlabel("時間", fontsize=14, fontweight='bold', color='#4285F4')
     ax.set_ylabel("熱搜度", fontsize=14, fontweight='bold', color='#4285F4')
     ax.legend()
@@ -213,4 +218,4 @@ if st.button("開始搜索"):
     st.pyplot(fig)
 
     # Print out statistics
-    st.write(df.describe())
+    st.write(df.describe())