Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -250,7 +250,6 @@ def get_akc_breeds_link():
|
|
250 |
# iface.launch()
|
251 |
|
252 |
|
253 |
-
|
254 |
# Update the format_description to handle descriptions more cleanly
|
255 |
def format_description(description, breed):
|
256 |
if isinstance(description, dict):
|
@@ -314,22 +313,28 @@ async def predict(image):
|
|
314 |
# ๅตๆธฌๅ็ไธญ็ๅคๅ็
|
315 |
dogs = await detect_multiple_dogs(image)
|
316 |
|
|
|
317 |
if len(dogs) == 0:
|
318 |
top1_prob, topk_breeds, topk_probs_percent = await predict_single_dog(image)
|
319 |
if top1_prob < 0.2:
|
320 |
return "The image is unclear or the breed is not in the dataset. Please upload a clearer image of a dog.", None, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
|
321 |
-
breed = topk_breeds[0]
|
322 |
-
description = get_dog_description(breed)
|
323 |
-
formatted_description = format_description(description, breed)
|
324 |
-
return formatted_description, image, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
|
325 |
|
326 |
-
# ่็ๅฎไธ็ๆ
ๆณ
|
327 |
-
if len(dogs) == 1:
|
328 |
-
top1_prob, topk_breeds, topk_probs_percent = await predict_single_dog(image)
|
329 |
breed = topk_breeds[0]
|
330 |
description = get_dog_description(breed)
|
331 |
formatted_description = format_description(description, breed)
|
332 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
333 |
|
334 |
# ๅค็่็
|
335 |
color_list = ['#FF0000', '#00FF00', '#0000FF', '#FFFF00', '#00FFFF', '#FF00FF', '#800080', '#FFA500']
|
@@ -387,8 +392,6 @@ async def show_details(choice):
|
|
387 |
return f"An error occurred while showing details: {e}"
|
388 |
|
389 |
|
390 |
-
|
391 |
-
|
392 |
with gr.Blocks(css="""
|
393 |
.container { max-width: 900px; margin: auto; padding: 20px; }
|
394 |
.gr-box { border-radius: 15px; }
|
|
|
250 |
# iface.launch()
|
251 |
|
252 |
|
|
|
253 |
# Update the format_description to handle descriptions more cleanly
|
254 |
def format_description(description, breed):
|
255 |
if isinstance(description, dict):
|
|
|
313 |
# ๅตๆธฌๅ็ไธญ็ๅคๅ็
|
314 |
dogs = await detect_multiple_dogs(image)
|
315 |
|
316 |
+
# ๅฎไธ็ๆ
ๆณ่็
|
317 |
if len(dogs) == 0:
|
318 |
top1_prob, topk_breeds, topk_probs_percent = await predict_single_dog(image)
|
319 |
if top1_prob < 0.2:
|
320 |
return "The image is unclear or the breed is not in the dataset. Please upload a clearer image of a dog.", None, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
|
|
|
|
|
|
|
|
|
321 |
|
|
|
|
|
|
|
322 |
breed = topk_breeds[0]
|
323 |
description = get_dog_description(breed)
|
324 |
formatted_description = format_description(description, breed)
|
325 |
+
|
326 |
+
# ่็้ซ็ฝฎไฟกๅบฆ่ไฝ็ฝฎไฟกๅบฆๆ
ๆณ
|
327 |
+
if top1_prob >= 0.5:
|
328 |
+
return formatted_description, image, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
|
329 |
+
else:
|
330 |
+
explanation = (
|
331 |
+
f"The model couldn't confidently identify the breed. Here are the top 3 possible breeds:\n\n"
|
332 |
+
f"1. **{topk_breeds[0]}** ({topk_probs_percent[0]} confidence)\n"
|
333 |
+
f"2. **{topk_breeds[1]}** ({topk_probs_percent[1]} confidence)\n"
|
334 |
+
f"3. **{topk_breeds[2]}** ({topk_probs_percent[2]} confidence)\n\n"
|
335 |
+
"Click on a button to view more information about the breed."
|
336 |
+
)
|
337 |
+
return explanation, gr.update(visible=True, value=f"More about {topk_breeds[0]}"), gr.update(visible=True, value=f"More about {topk_breeds[1]}"), gr.update(visible=True, value=f"More about {topk_breeds[2]}")
|
338 |
|
339 |
# ๅค็่็
|
340 |
color_list = ['#FF0000', '#00FF00', '#0000FF', '#FFFF00', '#00FFFF', '#FF00FF', '#800080', '#FFA500']
|
|
|
392 |
return f"An error occurred while showing details: {e}"
|
393 |
|
394 |
|
|
|
|
|
395 |
with gr.Blocks(css="""
|
396 |
.container { max-width: 900px; margin: auto; padding: 20px; }
|
397 |
.gr-box { border-radius: 15px; }
|