Update app.py

app.py

@@ -30,15 +30,37 @@ for item in root.findall('item'):
             products.append((name, item_info, full_name))
 
 # Sohbet geçmişini kalıcı depolamaya yazan fonksiyon
-def log_chat(history):
-    # Hugging Face Spaces persistent storage, genellikle /mnt/data dizininde yer alır
-    file_path = "/mnt/data/sohbet_kaydi.json"
-    log_entry = {
-        "timestamp": datetime.now().isoformat(),
-        "chat_history": history
-    }
-    with open(file_path, "a", encoding="utf-8") as f:
-        f.write(json.dumps(log_entry, ensure_ascii=False) + "\n")
+DATA_FILENAME = "data.csv"
+DATA_FILE = os.path.join("/data", DATA_FILENAME)
+
+def generate_html() -> str:
+    with open(DATA_FILE) as csvfile:
+        reader = csv.reader(csvfile)
+        rows = []
+        for row in reader:
+            print(row)
+            rows.append(row)
+        print(rows)
+        if len(rows) == 0:
+            return "no messages yet"
+        else:
+            html = "<div class='chatbot'>"
+            print(row)
+            for row in rows:
+                html += "<div>"
+                html += f"<span>{row[0]}</span>"
+                html += f"<span class='message'>{row[1]}</span>"
+                html += "</div>"
+            html += "</div>"
+            return html
+
+
+def store_message(name: str, message: str):
+    if name and message:
+        with open(DATA_FILE, "a") as csvfile:
+            csv.writer(csvfile).writerow([name, message])
+
+    return generate_html()
 
 def predict(system_msg, inputs, top_p, temperature, chat_counter, chatbot=[], history=[]):
     headers = {