Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -102,18 +102,14 @@ class Tagger:
|
|
102 |
tag_categories_for_translation["character"].append(tag_name)
|
103 |
|
104 |
|
105 |
-
# Sort general tags by score
|
106 |
res["general"] = dict(sorted(res["general"].items(), key=lambda kv: kv[1], reverse=True))
|
107 |
-
# Sort character tags by score (optional, but good for consistency)
|
108 |
res["characters"] = dict(sorted(res["characters"].items(), key=lambda kv: kv[1], reverse=True))
|
109 |
-
# Ratings are usually fixed, but sorting doesn't hurt if order matters for display
|
110 |
res["ratings"] = dict(sorted(res["ratings"].items(), key=lambda kv: kv[1], reverse=True))
|
111 |
|
112 |
|
113 |
-
# Re-populate tag_categories_for_translation based on sorted and filtered results
|
114 |
tag_categories_for_translation["general"] = list(res["general"].keys())
|
115 |
tag_categories_for_translation["characters"] = list(res["characters"].keys())
|
116 |
-
tag_categories_for_translation["ratings"] = list(res["ratings"].keys())
|
117 |
|
118 |
return res, tag_categories_for_translation
|
119 |
|
@@ -202,7 +198,6 @@ with gr.Blocks(theme=gr.themes.Soft(), title="AI 图像标签分析器", css=cus
|
|
202 |
gr.Markdown("# 🖼️ AI 图像标签分析器")
|
203 |
gr.Markdown("上传图片自动识别标签,支持中英文显示和一键复制。")
|
204 |
|
205 |
-
# State variables to store results for re-processing summary without re-running model
|
206 |
state_res = gr.State({})
|
207 |
state_translations_dict = gr.State({})
|
208 |
state_tag_categories_for_translation = gr.State({})
|
@@ -255,7 +250,7 @@ with gr.Blocks(theme=gr.themes.Soft(), title="AI 图像标签分析器", css=cus
|
|
255 |
|
256 |
html = '<div class="label-container">'
|
257 |
|
258 |
-
if not isinstance(translations_list, list):
|
259 |
translations_list = []
|
260 |
|
261 |
tag_keys = list(tags_dict.keys())
|
@@ -320,15 +315,15 @@ with gr.Blocks(theme=gr.themes.Soft(), title="AI 图像标签分析器", css=cus
|
|
320 |
# ----------------- 主要处理回调 -----------------
|
321 |
def process_image_and_generate_outputs(
|
322 |
img, g_th, c_th, s_scores, # Main inputs
|
323 |
-
s_gen, s_char, s_rat, s_sep, s_zh_in_sum
|
324 |
):
|
325 |
if img is None:
|
326 |
yield (
|
327 |
gr.update(interactive=True, value="🚀 开始分析"),
|
328 |
gr.update(visible=True, value="❌ 请先上传图片。"),
|
329 |
-
"", "", "", "",
|
330 |
-
gr.update(placeholder="请先上传图片并开始分析..."),
|
331 |
-
{}, {}, {}
|
332 |
)
|
333 |
return
|
334 |
|
@@ -354,7 +349,6 @@ with gr.Blocks(theme=gr.themes.Soft(), title="AI 图像标签分析器", css=cus
|
|
354 |
|
355 |
try:
|
356 |
# 1. Predict tags
|
357 |
-
# The predict method now returns res and tag_categories_for_translation
|
358 |
res, tag_categories_original_order = tagger_instance.predict(img, g_th, c_th)
|
359 |
|
360 |
all_tags_to_translate = []
|
@@ -362,7 +356,7 @@ with gr.Blocks(theme=gr.themes.Soft(), title="AI 图像标签分析器", css=cus
|
|
362 |
all_tags_to_translate.extend(tag_categories_original_order.get(cat_key, []))
|
363 |
|
364 |
all_translations_flat = []
|
365 |
-
if all_tags_to_translate:
|
366 |
all_translations_flat = translate_texts(all_tags_to_translate, src_lang="auto", tgt_lang="zh")
|
367 |
|
368 |
current_translations_dict = {}
|
@@ -382,19 +376,19 @@ with gr.Blocks(theme=gr.themes.Soft(), title="AI 图像标签分析器", css=cus
|
|
382 |
|
383 |
summary_text = generate_summary_text_content(
|
384 |
res, current_translations_dict,
|
385 |
-
s_gen, s_char, s_rat, s_sep, s_zh_in_sum
|
386 |
)
|
387 |
|
388 |
yield (
|
389 |
gr.update(interactive=True, value="🚀 开始分析"),
|
390 |
-
gr.update(visible=True, value="✅ 分析完成!"),
|
391 |
general_html,
|
392 |
char_html,
|
393 |
rating_html,
|
394 |
gr.update(value=summary_text),
|
395 |
-
res,
|
396 |
-
current_translations_dict,
|
397 |
-
tag_categories_original_order
|
398 |
)
|
399 |
|
400 |
except Exception as e:
|
@@ -404,17 +398,17 @@ with gr.Blocks(theme=gr.themes.Soft(), title="AI 图像标���分析器", css=cus
|
|
404 |
yield (
|
405 |
gr.update(interactive=True, value="🚀 开始分析"),
|
406 |
gr.update(visible=True, value=f"❌ 处理失败: {str(e)}"),
|
407 |
-
"<p>处理出错</p>", "<p>处理出错</p>", "<p>处理出错</p>",
|
408 |
-
gr.update(value=f"错误: {str(e)}", placeholder="分析失败..."),
|
409 |
-
{}, {}, {}
|
410 |
)
|
411 |
|
412 |
# ----------------- 更新汇总文本的回调 -----------------
|
413 |
def update_summary_display(
|
414 |
-
s_gen, s_char, s_rat, s_sep, s_zh_in_sum,
|
415 |
-
current_res_from_state, current_translations_from_state
|
416 |
):
|
417 |
-
if not current_res_from_state:
|
418 |
return gr.update(placeholder="请先完成一次图像分析以生成汇总。", value="")
|
419 |
|
420 |
new_summary_text = generate_summary_text_content(
|
@@ -428,7 +422,7 @@ with gr.Blocks(theme=gr.themes.Soft(), title="AI 图像标签分析器", css=cus
|
|
428 |
process_image_and_generate_outputs,
|
429 |
inputs=[
|
430 |
img_in, gen_slider, char_slider, show_tag_scores,
|
431 |
-
sum_general, sum_char, sum_rating, sum_sep, sum_show_zh
|
432 |
],
|
433 |
outputs=[
|
434 |
btn, processing_info,
|
@@ -439,12 +433,11 @@ with gr.Blocks(theme=gr.themes.Soft(), title="AI 图像标签分析器", css=cus
|
|
439 |
# show_progress="full" # Gradio's built-in progress
|
440 |
)
|
441 |
|
442 |
-
# Bind summary update controls to the update_summary_display function
|
443 |
summary_controls = [sum_general, sum_char, sum_rating, sum_sep, sum_show_zh]
|
444 |
for ctrl in summary_controls:
|
445 |
ctrl.change(
|
446 |
fn=update_summary_display,
|
447 |
-
inputs=summary_controls + [state_res, state_translations_dict],
|
448 |
outputs=[out_summary],
|
449 |
# show_progress=False # Typically fast, no need for progress indicator
|
450 |
)
|
|
|
102 |
tag_categories_for_translation["character"].append(tag_name)
|
103 |
|
104 |
|
|
|
105 |
res["general"] = dict(sorted(res["general"].items(), key=lambda kv: kv[1], reverse=True))
|
|
|
106 |
res["characters"] = dict(sorted(res["characters"].items(), key=lambda kv: kv[1], reverse=True))
|
|
|
107 |
res["ratings"] = dict(sorted(res["ratings"].items(), key=lambda kv: kv[1], reverse=True))
|
108 |
|
109 |
|
|
|
110 |
tag_categories_for_translation["general"] = list(res["general"].keys())
|
111 |
tag_categories_for_translation["characters"] = list(res["characters"].keys())
|
112 |
+
tag_categories_for_translation["ratings"] = list(res["ratings"].keys())
|
113 |
|
114 |
return res, tag_categories_for_translation
|
115 |
|
|
|
198 |
gr.Markdown("# 🖼️ AI 图像标签分析器")
|
199 |
gr.Markdown("上传图片自动识别标签,支持中英文显示和一键复制。")
|
200 |
|
|
|
201 |
state_res = gr.State({})
|
202 |
state_translations_dict = gr.State({})
|
203 |
state_tag_categories_for_translation = gr.State({})
|
|
|
250 |
|
251 |
html = '<div class="label-container">'
|
252 |
|
253 |
+
if not isinstance(translations_list, list):
|
254 |
translations_list = []
|
255 |
|
256 |
tag_keys = list(tags_dict.keys())
|
|
|
315 |
# ----------------- 主要处理回调 -----------------
|
316 |
def process_image_and_generate_outputs(
|
317 |
img, g_th, c_th, s_scores, # Main inputs
|
318 |
+
s_gen, s_char, s_rat, s_sep, s_zh_in_sum
|
319 |
):
|
320 |
if img is None:
|
321 |
yield (
|
322 |
gr.update(interactive=True, value="🚀 开始分析"),
|
323 |
gr.update(visible=True, value="❌ 请先上传图片。"),
|
324 |
+
"", "", "", "",
|
325 |
+
gr.update(placeholder="请先上传图片并开始分析..."),
|
326 |
+
{}, {}, {}
|
327 |
)
|
328 |
return
|
329 |
|
|
|
349 |
|
350 |
try:
|
351 |
# 1. Predict tags
|
|
|
352 |
res, tag_categories_original_order = tagger_instance.predict(img, g_th, c_th)
|
353 |
|
354 |
all_tags_to_translate = []
|
|
|
356 |
all_tags_to_translate.extend(tag_categories_original_order.get(cat_key, []))
|
357 |
|
358 |
all_translations_flat = []
|
359 |
+
if all_tags_to_translate:
|
360 |
all_translations_flat = translate_texts(all_tags_to_translate, src_lang="auto", tgt_lang="zh")
|
361 |
|
362 |
current_translations_dict = {}
|
|
|
376 |
|
377 |
summary_text = generate_summary_text_content(
|
378 |
res, current_translations_dict,
|
379 |
+
s_gen, s_char, s_rat, s_sep, s_zh_in_sum
|
380 |
)
|
381 |
|
382 |
yield (
|
383 |
gr.update(interactive=True, value="🚀 开始分析"),
|
384 |
+
gr.update(visible=True, value="✅ 分析完成!"),
|
385 |
general_html,
|
386 |
char_html,
|
387 |
rating_html,
|
388 |
gr.update(value=summary_text),
|
389 |
+
res,
|
390 |
+
current_translations_dict,
|
391 |
+
tag_categories_original_order
|
392 |
)
|
393 |
|
394 |
except Exception as e:
|
|
|
398 |
yield (
|
399 |
gr.update(interactive=True, value="🚀 开始分析"),
|
400 |
gr.update(visible=True, value=f"❌ 处理失败: {str(e)}"),
|
401 |
+
"<p>处理出错</p>", "<p>处理出错</p>", "<p>处理出错</p>",
|
402 |
+
gr.update(value=f"错误: {str(e)}", placeholder="分析失败..."),
|
403 |
+
{}, {}, {}
|
404 |
)
|
405 |
|
406 |
# ----------------- 更新汇总文本的回调 -----------------
|
407 |
def update_summary_display(
|
408 |
+
s_gen, s_char, s_rat, s_sep, s_zh_in_sum,
|
409 |
+
current_res_from_state, current_translations_from_state
|
410 |
):
|
411 |
+
if not current_res_from_state:
|
412 |
return gr.update(placeholder="请先完成一次图像分析以生成汇总。", value="")
|
413 |
|
414 |
new_summary_text = generate_summary_text_content(
|
|
|
422 |
process_image_and_generate_outputs,
|
423 |
inputs=[
|
424 |
img_in, gen_slider, char_slider, show_tag_scores,
|
425 |
+
sum_general, sum_char, sum_rating, sum_sep, sum_show_zh
|
426 |
],
|
427 |
outputs=[
|
428 |
btn, processing_info,
|
|
|
433 |
# show_progress="full" # Gradio's built-in progress
|
434 |
)
|
435 |
|
|
|
436 |
summary_controls = [sum_general, sum_char, sum_rating, sum_sep, sum_show_zh]
|
437 |
for ctrl in summary_controls:
|
438 |
ctrl.change(
|
439 |
fn=update_summary_display,
|
440 |
+
inputs=summary_controls + [state_res, state_translations_dict],
|
441 |
outputs=[out_summary],
|
442 |
# show_progress=False # Typically fast, no need for progress indicator
|
443 |
)
|