多分error

app.py

@@ -19,21 +19,35 @@ else:
     print("HF_TOKEN error")
     api = HfApi() # トークンなしで初期化
 
+# 画像をアップロードするリポジトリID
+HF_REPO_ID = "cocoat/images"
+
 # 履歴ファイルを定義
-HISTORY_FILE = "generation_history.txt"
+HISTORY_FILE = "history/generation_history_coamixXL3.txt"
 
 # 履歴をロードする関数
+import os
+import requests
 def load_history():
     history = []
-    if os.path.exists(HISTORY_FILE):
-        with open(HISTORY_FILE, "r", encoding="utf-8") as f:
-            for line in f:
-                parts = line.strip().split("|||")
-                if len(parts) == 2:
-                    image_path, caption = parts
-                    history.append((image_path, caption))
+    hf_raw_file_url = f"https://huggingface.co/datasets/{HF_REPO_ID}/raw/main/{HISTORY_FILE}"
+    try:
+        response = requests.get(hf_raw_file_url)
+        response.raise_for_status() # HTTPエラー（4xx, 5xx）があれば例外を発生させます。
+
+        for line in response.text.splitlines():
+            parts = line.strip().split("|||")
+            if len(parts) == 2:
+                image_path_in_repo, caption = parts
+                history.append((image_path_in_repo, caption))
+        print(f"History loaded from Hub via raw URL: {len(history)} entries.")
+    except requests.exceptions.RequestException as e:
+        print(f"Error loading history from Hub via raw URL: {e}. Starting with empty history.")
+    except Exception as e:
+        print(f"An unexpected error occurred while parsing history: {e}. Starting with empty history.")
     return history
 
+
 # 履歴を初期化時にロード
 history = load_history()
 
@@ -72,15 +86,11 @@ euler_scheduler = EulerAncestralDiscreteScheduler.from_config(
 dpm_scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
 pipe.scheduler = euler_scheduler
 
-# 画像をアップロードするリポジトリID
-HF_REPO_ID = "cocoat/images"
-
-
 def upload_image_to_hub(image_pil, prompt_text):
     # ファイル名を生成（タイムスタンプとプロンプトの一部）
     timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
     # プロンプトから安全なファイル名の一部を生成
-    safe_prompt = "".join(c for c in prompt_text if c.isalnum() or c in (' ', '.', '_')).replace(' ', '_')[:30]
+    # safe_prompt = "".join(c for c in prompt_text if c.isalnum() or c in (' ', '.', '_')).replace(' ', '_')[:30]
     filename = f"image_{timestamp}.png"
     filepath = f"temp_{filename}"
     image_pil.save(filepath)
@@ -173,27 +183,45 @@ def infer(prompt, neg, seed, rand, w, h, cfg, steps, scheduler_type,
         f"Scheduler: {scheduler_type}"
     )
 
-    # 画像を一時ファイルに保存
-    timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
-    image_filename = f"generated_image_{timestamp}_{seed}.png"
-    img.save(image_filename)
-
+    # 画像をHubにアップロードし、そのURLを取得
+    uploaded_image_url = upload_image_to_hub(img, prompt)
+    
     # 履歴を更新
     global history
-    history.insert(0, (image_filename, caption_text))
+    if uploaded_image_url: # アップロードが成功した場合のみ履歴に追加
+        # 履歴には画像のHub上のパスを保存
+        path_in_repo_for_history = uploaded_image_url.split(f"huggingface.co/datasets/{HF_REPO_ID}/resolve/main/")[1]
+        history.insert(0, (path_in_repo_for_history, caption_text))
 
     history_max_items = 10
     if len(history) > history_max_items:
-        old_image_path, _ = history.pop()
+        history.pop() # ローカルファイルの削除は不要になるため、パスの取得も不要です。
 
-    # 履歴ファイルを更新
-    with open(HISTORY_FILE, "w", encoding="utf-8") as f:
-        for img_path, cap_text in history:
-            f.write(f"{img_path}|||{cap_text}\n")
+    # 履歴ファイルを更新し、Hubにアップロードする
+    temp_history_filepath = "temp_history.txt"
+    with open(temp_history_filepath, "w", encoding="utf-8") as f:
+        for img_path_in_repo, cap_text in history:
+            f.write(f"{img_path_in_repo}|||{cap_text}\n")
+
+    try:
+        api.upload_file(
+            path_or_fileobj=temp_history_filepath,
+            path_in_repo=HISTORY_FILE,
+            repo_id=HF_REPO_ID,
+            repo_type="dataset",
+        )
+        print(f"History file '{HISTORY_FILE}' updated on Hugging Face Hub.")
+    except Exception as e:
+        print(f"Error updating history file on Hub: {e}")
+    finally:
+        if os.path.exists(temp_history_filepath):
+            os.remove(temp_history_filepath)
 
     progress(1.0, desc="Done!")
 
-    gallery_items = [(Image.open(item[0]), item[1]) for item in history if os.path.exists(item[0])]
+    # ギャラリー表示用のアイテムリストを生成（Hub上のURLを使用）
+    gallery_items = [(f"https://huggingface.co/datasets/{HF_REPO_ID}/resolve/main/{item[0]}", item[1]) for item in history]
+    
     processed_img, processed_gallery_items = process_image(img, gallery_items)
     
     latest_caption_table = make_html_table(caption_text)
@@ -437,18 +465,12 @@ window.addEventListener('load', () => {
     )
 
 # ページロード時に history から初期表示
-#    demo.load(
-#        fn=lambda: (
-#        [(img_or_url, caption) for img_or_url, caption in history],
-#        "".join(f'<div style="margin-bottom:12px">{make_html_table(caption)}</div>' for _, caption in history)
-#    ),
-#        inputs=[],
-#        outputs=[history_gallery, history_tables]
-#    ) 
     demo.load(
         fn=lambda: (
-            [(Image.open(img_path), caption) for img_path, caption in history if os.path.exists(img_path)],
-            make_html_table(history[0][1]) if history else ""
+            # history リストの各要素が (Hub上のファイルパス, キャプション) なので、URLに変換
+            [ (f"https://huggingface.co/datasets/{HF_REPO_ID}/resolve/main/{img_path_in_repo}", caption)
+              for img_path_in_repo, caption in history ],
+            make_html_table(history[0][1]) if history else "" # 最初のアイテムのキャプションを表示
         ),
         inputs=[],
         outputs=[history_gallery, history_tables]