DawnC commited on
Commit
7bd0e4b
·
1 Parent(s): 10bca51

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +50 -148
app.py CHANGED
@@ -247,116 +247,6 @@ async def process_single_dog(image):
247
  return explanation, image, buttons[0], buttons[1], buttons[2], gr.update(visible=True), initial_state
248
 
249
 
250
- # async def predict(image):
251
- # if image is None:
252
- # return "Please upload an image to start.", None, gr.update(visible=False, choices=[]), None
253
-
254
- # try:
255
- # if isinstance(image, np.ndarray):
256
- # image = Image.fromarray(image)
257
-
258
- # dogs = await detect_multiple_dogs(image)
259
-
260
- # color_list = ['#FF0000', '#00FF00', '#0000FF', '#FFFF00', '#00FFFF', '#FF00FF', '#800080', '#FFA500']
261
- # buttons = []
262
- # annotated_image = image.copy()
263
- # draw = ImageDraw.Draw(annotated_image)
264
- # font = ImageFont.load_default()
265
-
266
- # dogs_info = ""
267
- # buttons_html = ""
268
-
269
- # for i, (cropped_image, detection_confidence, box) in enumerate(dogs):
270
- # top1_prob, topk_breeds, topk_probs_percent = await predict_single_dog(cropped_image)
271
- # color = color_list[i % len(color_list)]
272
- # draw.rectangle(box, outline=color, width=3)
273
- # draw.text((box[0] + 5, box[1] + 5), f"Dog {i+1}", fill=color, font=font)
274
-
275
- # combined_confidence = detection_confidence * top1_prob
276
- # dogs_info += f'<div class="dog-info" style="border-left: 5px solid {color}; margin-bottom: 20px; padding: 15px;">'
277
- # dogs_info += f'<h2>Dog {i+1}</h2>'
278
-
279
- # if top1_prob >= 0.45:
280
- # breed = topk_breeds[0]
281
- # description = get_dog_description(breed)
282
- # dogs_info += format_description_html(description, breed)
283
-
284
- # elif combined_confidence >= 0.15:
285
- # dogs_info += f"<p>Top 3 possible breeds:</p><ul>"
286
- # for j, (breed, prob) in enumerate(zip(topk_breeds[:3], topk_probs_percent[:3])):
287
- # #dogs_info += f"<li><strong>{breed}</strong> ({prob} confidence)</li>"
288
- # prob = float(prob.replace('%', '')) # new
289
- # dogs_info += f"<li><strong>{breed}</strong> ({prob:.2f}% confidence)</li>" # new
290
- # dogs_info += "</ul>"
291
- # buttons_html = '<div class="breed-buttons">' #new
292
- # for breed in topk_breeds[:3]:
293
- # button_id = f"Dog {i+1}: More about {breed}"
294
- # buttons_html += f'<button class="breed-button" onclick="handle_button_click(\'{button_id}\')">{breed}</button>'
295
- # buttons.append(button_id)
296
- # buttons_html += '</div>'
297
- # else:
298
- # dogs_info += "<p>The image is unclear or the breed is not in the dataset. Please upload a clearer image.</p>"
299
-
300
- # dogs_info += '</div>'
301
-
302
- # dogs_info += buttons_html
303
-
304
-
305
- # # 避免將按鈕與 dogs_info 同步顯示
306
- # if buttons_html:
307
- # dogs_info += buttons_html # 確保按鈕獨立並附加到最後輸出
308
-
309
-
310
- # html_output = f"""
311
- # <style>
312
- # .dog-info {{ border: 1px solid #ddd; margin-bottom: 20px; padding: 15px; border-radius: 5px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); }}
313
- # .dog-info h2 {{ background-color: #f0f0f0; padding: 10px; margin: -15px -15px 15px -15px; border-radius: 5px 5px 0 0; }}
314
- # .breed-buttons {{ margin-top: 10px; }}
315
- # .breed-button {{ margin-right: 10px; margin-bottom: 10px; padding: 5px 10px; background-color: #4CAF50; color: white; border: none; border-radius: 3px; cursor: pointer; }}
316
- # </style>
317
- # {dogs_info}
318
-
319
- # """
320
-
321
- # if buttons:
322
- # html_output += """
323
- # <script>
324
- # function handle_button_click(button_id) {
325
- # const radio = document.querySelector('input[type=radio][value="' + button_id + '"]');
326
- # if (radio) {
327
- # radio.click();
328
- # } else {
329
- # console.error("Radio button not found:", button_id);
330
- # }
331
- # }
332
- # </script>
333
- # """
334
- # initial_state = {
335
- # "dogs_info": dogs_info,
336
- # "buttons": buttons,
337
- # "show_back": True,
338
- # "image": annotated_image,
339
- # "is_multi_dog": len(dogs) > 1,
340
- # "html_output": html_output # 儲存完整的 HTML 輸出
341
- # }
342
- # return html_output, annotated_image, gr.update(visible=True, choices=buttons), initial_state
343
- # else:
344
- # initial_state = {
345
- # "dogs_info": dogs_info,
346
- # "buttons": [],
347
- # "show_back": False,
348
- # "image": annotated_image,
349
- # "is_multi_dog": len(dogs) > 1,
350
- # "html_output": html_output # 儲存完整的 HTML 輸出
351
- # }
352
- # return html_output, annotated_image, gr.update(visible=False, choices=[]), initial_state
353
-
354
- # except Exception as e:
355
- # error_msg = f"An error occurred: {str(e)}\n\nTraceback:\n{traceback.format_exc()}"
356
- # print(error_msg)
357
- # return error_msg, None, gr.update(visible=False, choices=[]), None
358
-
359
-
360
  async def predict(image):
361
  if image is None:
362
  return "Please upload an image to start.", None, gr.update(visible=False, choices=[]), None
@@ -374,55 +264,59 @@ async def predict(image):
374
  font = ImageFont.load_default()
375
 
376
  dogs_info = ""
377
-
 
378
  for i, (cropped_image, detection_confidence, box) in enumerate(dogs):
379
  top1_prob, topk_breeds, topk_probs_percent = await predict_single_dog(cropped_image)
380
  color = color_list[i % len(color_list)]
381
  draw.rectangle(box, outline=color, width=3)
382
  draw.text((box[0] + 5, box[1] + 5), f"Dog {i+1}", fill=color, font=font)
383
-
384
  combined_confidence = detection_confidence * top1_prob
385
  dogs_info += f'<div class="dog-info" style="border-left: 5px solid {color}; margin-bottom: 20px; padding: 15px;">'
386
  dogs_info += f'<h2>Dog {i+1}</h2>'
387
-
388
  if top1_prob >= 0.45:
389
  breed = topk_breeds[0]
390
  description = get_dog_description(breed)
391
  dogs_info += format_description_html(description, breed)
392
-
393
  elif combined_confidence >= 0.15:
394
  dogs_info += f"<p>Top 3 possible breeds:</p><ul>"
395
  for j, (breed, prob) in enumerate(zip(topk_breeds[:3], topk_probs_percent[:3])):
396
- prob = float(prob.replace('%', ''))
397
- dogs_info += f"<li><strong>{breed}</strong> ({prob:.2f}% confidence)</li>"
398
- dogs_info += "</ul>"
399
-
400
- dogs_info += '<div class="breed-buttons">'
401
  for breed in topk_breeds[:3]:
402
  button_id = f"Dog {i+1}: More about {breed}"
403
- dogs_info += f'<button class="breed-button" onclick="handle_button_click(\'{button_id}\')">{breed}</button>'
404
  buttons.append(button_id)
405
- dogs_info += '</div>'
406
-
407
  else:
408
  dogs_info += "<p>The image is unclear or the breed is not in the dataset. Please upload a clearer image.</p>"
409
-
410
  dogs_info += '</div>'
411
 
 
 
 
 
 
 
 
 
412
  html_output = f"""
413
- <style>
414
- .dog-info {{ border: 1px solid #ddd; margin-bottom: 20px; padding: 15px; border-radius: 5px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); }}
415
- .dog-info h2 {{ background-color: #f0f0f0; padding: 10px; margin: -15px -15px 15px -15px; border-radius: 5px 5px 0 0; }}
416
- .breed-buttons {{ margin-top: 10px; }}
417
- .breed-button {{ margin-right: 10px; margin-bottom: 10px; padding: 5px 10px; background-color: #4CAF50; color: white; border: none; border-radius: 3px; cursor: pointer; }}
418
- </style>
419
- {dogs_info}
420
- <!-- DEBUG OUTPUT START -->
421
- <pre style="display:none;">
422
- {json.dumps({"dogs_info": dogs_info, "buttons": buttons}, indent=2)}
423
- </pre>
424
- <!-- DEBUG OUTPUT END -->
425
- """
426
 
427
  if buttons:
428
  html_output += """
@@ -437,23 +331,31 @@ async def predict(image):
437
  }
438
  </script>
439
  """
440
-
441
- initial_state = {
442
- "dogs_info": dogs_info,
443
- "buttons": buttons,
444
- "show_back": bool(buttons),
445
- "image": annotated_image,
446
- "is_multi_dog": len(dogs) > 1,
447
- "html_output": html_output
448
- }
449
-
450
- return html_output, annotated_image, gr.update(visible=bool(buttons), choices=buttons), initial_state
 
 
 
 
 
 
 
 
451
 
452
  except Exception as e:
453
  error_msg = f"An error occurred: {str(e)}\n\nTraceback:\n{traceback.format_exc()}"
454
  print(error_msg)
455
  return error_msg, None, gr.update(visible=False, choices=[]), None
456
-
457
 
458
  def show_details_html(choice, previous_output, initial_state):
459
  if not choice:
 
247
  return explanation, image, buttons[0], buttons[1], buttons[2], gr.update(visible=True), initial_state
248
 
249
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
250
  async def predict(image):
251
  if image is None:
252
  return "Please upload an image to start.", None, gr.update(visible=False, choices=[]), None
 
264
  font = ImageFont.load_default()
265
 
266
  dogs_info = ""
267
+ buttons_html = ""
268
+
269
  for i, (cropped_image, detection_confidence, box) in enumerate(dogs):
270
  top1_prob, topk_breeds, topk_probs_percent = await predict_single_dog(cropped_image)
271
  color = color_list[i % len(color_list)]
272
  draw.rectangle(box, outline=color, width=3)
273
  draw.text((box[0] + 5, box[1] + 5), f"Dog {i+1}", fill=color, font=font)
274
+
275
  combined_confidence = detection_confidence * top1_prob
276
  dogs_info += f'<div class="dog-info" style="border-left: 5px solid {color}; margin-bottom: 20px; padding: 15px;">'
277
  dogs_info += f'<h2>Dog {i+1}</h2>'
278
+
279
  if top1_prob >= 0.45:
280
  breed = topk_breeds[0]
281
  description = get_dog_description(breed)
282
  dogs_info += format_description_html(description, breed)
283
+
284
  elif combined_confidence >= 0.15:
285
  dogs_info += f"<p>Top 3 possible breeds:</p><ul>"
286
  for j, (breed, prob) in enumerate(zip(topk_breeds[:3], topk_probs_percent[:3])):
287
+ #dogs_info += f"<li><strong>{breed}</strong> ({prob} confidence)</li>"
288
+ prob = float(prob.replace('%', '')) # new
289
+ dogs_info += f"<li><strong>{breed}</strong> ({prob:.2f}% confidence)</li>" # new
290
+ dogs_info += "</ul>"
291
+ buttons_html = '<div class="breed-buttons">' #new
292
  for breed in topk_breeds[:3]:
293
  button_id = f"Dog {i+1}: More about {breed}"
294
+ buttons_html += f'<button class="breed-button" onclick="handle_button_click(\'{button_id}\')">{breed}</button>'
295
  buttons.append(button_id)
296
+ buttons_html += '</div>'
 
297
  else:
298
  dogs_info += "<p>The image is unclear or the breed is not in the dataset. Please upload a clearer image.</p>"
299
+
300
  dogs_info += '</div>'
301
 
302
+ dogs_info += buttons_html
303
+
304
+
305
+ # 避免將按鈕與 dogs_info 同步顯示
306
+ if buttons_html:
307
+ dogs_info += buttons_html # 確保按鈕獨立並附加到最後輸出
308
+
309
+
310
  html_output = f"""
311
+ <style>
312
+ .dog-info {{ border: 1px solid #ddd; margin-bottom: 20px; padding: 15px; border-radius: 5px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); }}
313
+ .dog-info h2 {{ background-color: #f0f0f0; padding: 10px; margin: -15px -15px 15px -15px; border-radius: 5px 5px 0 0; }}
314
+ .breed-buttons {{ margin-top: 10px; }}
315
+ .breed-button {{ margin-right: 10px; margin-bottom: 10px; padding: 5px 10px; background-color: #4CAF50; color: white; border: none; border-radius: 3px; cursor: pointer; }}
316
+ </style>
317
+ {dogs_info}
318
+
319
+ """
 
 
 
 
320
 
321
  if buttons:
322
  html_output += """
 
331
  }
332
  </script>
333
  """
334
+ initial_state = {
335
+ "dogs_info": dogs_info,
336
+ "buttons": buttons,
337
+ "show_back": True,
338
+ "image": annotated_image,
339
+ "is_multi_dog": len(dogs) > 1,
340
+ "html_output": html_output # 儲存完整的 HTML 輸出
341
+ }
342
+ return html_output, annotated_image, gr.update(visible=True, choices=buttons), initial_state
343
+ else:
344
+ initial_state = {
345
+ "dogs_info": dogs_info,
346
+ "buttons": [],
347
+ "show_back": False,
348
+ "image": annotated_image,
349
+ "is_multi_dog": len(dogs) > 1,
350
+ "html_output": html_output # 儲存完整的 HTML 輸出
351
+ }
352
+ return html_output, annotated_image, gr.update(visible=False, choices=[]), initial_state
353
 
354
  except Exception as e:
355
  error_msg = f"An error occurred: {str(e)}\n\nTraceback:\n{traceback.format_exc()}"
356
  print(error_msg)
357
  return error_msg, None, gr.update(visible=False, choices=[]), None
358
+
359
 
360
  def show_details_html(choice, previous_output, initial_state):
361
  if not choice: