burtenshaw
commited on
Commit
·
6da808e
1
Parent(s):
a145493
swap round images and share app changes
Browse files- app.py +83 -14
- images/{models.png → dataset.png} +0 -0
- images/{datasets.png → model.png} +0 -0
- images/{spaces.png → space.png} +0 -0
app.py
CHANGED
|
@@ -10,25 +10,94 @@ DEFAULT_IMAGE = "https://hub-recap.imglab-cdn.net/default.jpg?width=1200&text=%3
|
|
| 10 |
|
| 11 |
|
| 12 |
def create_image(stats, username):
|
| 13 |
-
|
| 14 |
-
|
| 15 |
total_stats = stats["Total Statistics"]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
top_items = stats["Most Popular Items"]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
|
| 18 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
<span weight="bold">{total_stats['Dataset Likes']:,}</span> dataset likes
|
| 24 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
({top_items['Top Model']['downloads']:,} downloads, {top_items['Top Model']['likes']} likes)
|
| 28 |
-
Dataset: <span weight="bold">{top_items['Top Dataset']['name']}</span>
|
| 29 |
-
({top_items['Top Dataset']['downloads']:,} downloads, {top_items['Top Dataset']['likes']} likes)
|
| 30 |
-
Space: <span weight="bold">{top_items['Top Space']['name']}</span>
|
| 31 |
-
({top_items['Top Space']['likes']} likes)"""
|
| 32 |
|
| 33 |
params = {
|
| 34 |
"width": "1200",
|
|
|
|
| 10 |
|
| 11 |
|
| 12 |
def create_image(stats, username):
|
| 13 |
+
# Determine which image to use based on highest value
|
|
|
|
| 14 |
total_stats = stats["Total Statistics"]
|
| 15 |
+
model_activity = total_stats["Model Downloads"] + total_stats["Model Likes"]
|
| 16 |
+
dataset_activity = total_stats["Dataset Downloads"] + total_stats["Dataset Likes"]
|
| 17 |
+
space_activity = total_stats["Space Likes"]
|
| 18 |
+
|
| 19 |
+
# Choose base image URL based on highest activity
|
| 20 |
+
if model_activity >= max(dataset_activity, space_activity):
|
| 21 |
+
url = "https://hub-recap.imglab-cdn.net/images/model.png"
|
| 22 |
+
avatar = "Model Pro"
|
| 23 |
+
elif dataset_activity >= max(model_activity, space_activity):
|
| 24 |
+
url = "https://hub-recap.imglab-cdn.net/images/dataset.png"
|
| 25 |
+
avatar = "Dataset Guru"
|
| 26 |
+
else:
|
| 27 |
+
url = "https://hub-recap.imglab-cdn.net/images/space.png"
|
| 28 |
+
avatar = "Space Artiste"
|
| 29 |
+
|
| 30 |
+
# Build text content with proper formatting
|
| 31 |
+
text_parts = []
|
| 32 |
+
|
| 33 |
+
# Header
|
| 34 |
+
text_parts.append(
|
| 35 |
+
f'<span size="12pt" weight="bold">Hugging Face ❤️ {username} in 2024</span>'
|
| 36 |
+
)
|
| 37 |
+
text_parts.append("") # Empty line for spacing
|
| 38 |
+
|
| 39 |
+
# Stats section
|
| 40 |
+
stats_lines = []
|
| 41 |
+
if total_stats["Model Downloads"] > 0:
|
| 42 |
+
stats_lines.append(
|
| 43 |
+
f'<span weight="bold">{total_stats["Model Downloads"]:,}</span> model downloads'
|
| 44 |
+
)
|
| 45 |
+
if total_stats["Model Likes"] > 0:
|
| 46 |
+
stats_lines.append(
|
| 47 |
+
f'<span weight="bold">{total_stats["Model Likes"]:,}</span> model likes'
|
| 48 |
+
)
|
| 49 |
+
if total_stats["Dataset Downloads"] > 0:
|
| 50 |
+
stats_lines.append(
|
| 51 |
+
f'<span weight="bold">{total_stats["Dataset Downloads"]:,}</span> dataset downloads'
|
| 52 |
+
)
|
| 53 |
+
if total_stats["Dataset Likes"] > 0:
|
| 54 |
+
stats_lines.append(
|
| 55 |
+
f'<span weight="bold">{total_stats["Dataset Likes"]:,}</span> dataset likes'
|
| 56 |
+
)
|
| 57 |
+
if total_stats["Space Likes"] > 0:
|
| 58 |
+
stats_lines.append(
|
| 59 |
+
f'<span weight="bold">{total_stats["Space Likes"]:,}</span> space likes'
|
| 60 |
+
)
|
| 61 |
+
|
| 62 |
+
if stats_lines:
|
| 63 |
+
text_parts.extend(stats_lines)
|
| 64 |
+
text_parts.append("") # Empty line for spacing
|
| 65 |
+
|
| 66 |
+
# Popular items section
|
| 67 |
top_items = stats["Most Popular Items"]
|
| 68 |
+
if any(
|
| 69 |
+
item["likes"] > 0 or item.get("downloads", 0) > 0 for item in top_items.values()
|
| 70 |
+
):
|
| 71 |
+
text_parts.append('<span size="10pt">Most Popular Contributions:</span>')
|
| 72 |
+
|
| 73 |
+
if top_items["Top Model"]["downloads"] > 0:
|
| 74 |
+
text_parts.append(
|
| 75 |
+
f'Model: <span weight="bold">{top_items["Top Model"]["name"]}</span>'
|
| 76 |
+
)
|
| 77 |
+
text_parts.append(
|
| 78 |
+
f' ({top_items["Top Model"]["downloads"]:,} downloads, {top_items["Top Model"]["likes"]} likes)'
|
| 79 |
+
)
|
| 80 |
+
|
| 81 |
+
if top_items["Top Dataset"]["downloads"] > 0:
|
| 82 |
+
text_parts.append(
|
| 83 |
+
f'Dataset: <span weight="bold">{top_items["Top Dataset"]["name"]}</span>'
|
| 84 |
+
)
|
| 85 |
+
text_parts.append(
|
| 86 |
+
f' ({top_items["Top Dataset"]["downloads"]:,} downloads, {top_items["Top Dataset"]["likes"]} likes)'
|
| 87 |
+
)
|
| 88 |
|
| 89 |
+
if top_items["Top Space"]["likes"] > 0:
|
| 90 |
+
text_parts.append(
|
| 91 |
+
f'Space: <span weight="bold">{top_items["Top Space"]["name"]}</span>'
|
| 92 |
+
)
|
| 93 |
+
text_parts.append(f' ({top_items["Top Space"]["likes"]} likes)')
|
| 94 |
|
| 95 |
+
# Add avatar type at the end
|
| 96 |
+
text_parts.append("") # Empty line for spacing
|
| 97 |
+
text_parts.append(f"You are {avatar}! 🎉")
|
|
|
|
| 98 |
|
| 99 |
+
# Join all parts with newlines
|
| 100 |
+
text = "\n".join(text_parts)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 101 |
|
| 102 |
params = {
|
| 103 |
"width": "1200",
|
images/{models.png → dataset.png}
RENAMED
|
File without changes
|
images/{datasets.png → model.png}
RENAMED
|
File without changes
|
images/{spaces.png → space.png}
RENAMED
|
File without changes
|