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on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -17,17 +17,16 @@ target_models = {
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"seawolf2357/flux-lora-car-rolls-royce": "https://huggingface.co/seawolf2357/flux-lora-car-rolls-royce"
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}
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def get_models_data(
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"""모델 데이터 가져오기"""
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url = "https://huggingface.co/api/models"
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params = {
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'
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'
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'sort': 'downloads' if sort_type == "modes" else 'lastModified'
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}
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try:
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progress(0, desc=
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response = requests.get(url, params=params)
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response.raise_for_status()
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all_models = response.json()
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@@ -53,24 +52,24 @@ def get_models_data(sort_type="trending", progress=gr.Progress()):
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# 데이터 준비
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ids = [model['id'] for model in models]
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ranks = [model['rank'] for model in models]
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-
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# Y축 값을 반전
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y_values = [1001 - r for r in ranks]
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# 막대 그래프 생성
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fig.add_trace(go.Bar(
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x=ids,
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y=y_values,
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text=[f"Rank: {r}<br>
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textposition='auto',
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marker_color='rgb(
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opacity=0.8
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))
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fig.update_layout(
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title={
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'text':
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'y':0.95,
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'x':0.5,
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'xanchor': 'center',
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@@ -92,17 +91,17 @@ def get_models_data(sort_type="trending", progress=gr.Progress()):
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progress(0.6, desc="Creating model cards...")
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# HTML 카드 생성
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html_content =
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<div style='padding: 20px; background: #f5f5f5;'>
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<h2 style='color: #2c3e50;'>
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<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'>
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"""
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for model in models:
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model_id = model.get('id', '')
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rank = model.get('rank', 'N/A')
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downloads = model.get('downloads', 0)
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likes = model.get('likes', 0)
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html_content += f"""
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<div style='
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@@ -113,14 +112,14 @@ def get_models_data(sort_type="trending", progress=gr.Progress()):
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transition: transform 0.2s;
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'>
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<h3 style='color: #34495e;'>Rank #{rank} - {model_id}</h3>
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<p style='color: #7f8c8d;'>⬇️ Downloads: {downloads}</p>
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<p style='color: #7f8c8d;'>👍 Likes: {likes}</p>
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<a href='{target_models[model_id]}'
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target='_blank'
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style='
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display: inline-block;
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padding: 8px 16px;
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background: #
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color: white;
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text-decoration: none;
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border-radius: 5px;
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@@ -137,8 +136,8 @@ def get_models_data(sort_type="trending", progress=gr.Progress()):
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df = pd.DataFrame([{
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'Rank': model.get('rank', 'N/A'),
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'Model ID': model.get('id', ''),
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'Downloads': model.get('downloads', 'N/A'),
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'Likes': model.get('likes', 'N/A'),
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'URL': target_models[model.get('id', '')]
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} for model in models])
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@@ -538,17 +537,12 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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실시간으로 Hugging Face의 Spaces와 Models 순위를 분석합니다.
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""")
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with gr.Tab("Trending
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trending_plot = gr.Plot()
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trending_info = gr.HTML()
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trending_df = gr.DataFrame()
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with gr.Tab("
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modes_plot = gr.Plot()
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modes_info = gr.HTML()
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modes_df = gr.DataFrame()
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with gr.Tab("Models Rankings"):
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models_plot = gr.Plot()
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models_info = gr.HTML()
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models_df = gr.DataFrame()
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@@ -557,26 +551,22 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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def refresh_all_data():
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trending_results = get_spaces_data("trending")
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return [*trending_results, *modes_results, *models_results]
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refresh_btn.click(
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refresh_all_data,
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outputs=[
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trending_plot, trending_info, trending_df,
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modes_plot, modes_info, modes_df,
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models_plot, models_info, models_df
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]
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)
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# 초기 데이터 로드
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trending_results = get_spaces_data("trending")
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models_results = get_models_data("trending")
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trending_plot.value, trending_info.value, trending_df.value = trending_results
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modes_plot.value, modes_info.value, modes_df.value = modes_results
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models_plot.value, models_info.value, models_df.value = models_results
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# Gradio 앱 실행
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"seawolf2357/flux-lora-car-rolls-royce": "https://huggingface.co/seawolf2357/flux-lora-car-rolls-royce"
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}
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def get_models_data(progress=gr.Progress()):
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"""모델 데이터 가져오기"""
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url = "https://huggingface.co/api/models/sort/trending" # trending API 엔드포인트로 변경
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params = {
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'limit': 1000,
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'full': 'true'
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}
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try:
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progress(0, desc="Fetching models data...")
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response = requests.get(url, params=params)
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response.raise_for_status()
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all_models = response.json()
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# 데이터 준비
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ids = [model['id'] for model in models]
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ranks = [model['rank'] for model in models]
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likes = [model.get('likes', 0) for model in models]
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# Y축 값을 반전
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y_values = [1001 - r for r in ranks]
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# 막대 그래프 생성
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fig.add_trace(go.Bar(
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x=ids,
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y=y_values,
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text=[f"Rank: {r}<br>Likes: {l}" for r, l in zip(ranks, likes)],
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textposition='auto',
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marker_color='rgb(158,202,225)',
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opacity=0.8
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))
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fig.update_layout(
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title={
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'text': 'Hugging Face Models Trending Rankings',
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'y':0.95,
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'x':0.5,
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'xanchor': 'center',
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progress(0.6, desc="Creating model cards...")
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# HTML 카드 생성
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html_content = """
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<div style='padding: 20px; background: #f5f5f5;'>
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<h2 style='color: #2c3e50;'>Models Trending Rankings</h2>
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<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'>
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"""
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for model in models:
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model_id = model.get('id', '')
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rank = model.get('rank', 'N/A')
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likes = model.get('likes', 0)
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downloads = model.get('downloads', 0)
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html_content += f"""
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<div style='
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transition: transform 0.2s;
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'>
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<h3 style='color: #34495e;'>Rank #{rank} - {model_id}</h3>
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<p style='color: #7f8c8d;'>👍 Likes: {likes}</p>
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<p style='color: #7f8c8d;'>⬇️ Downloads: {downloads}</p>
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<a href='{target_models[model_id]}'
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target='_blank'
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style='
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display: inline-block;
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padding: 8px 16px;
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background: #3498db;
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color: white;
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text-decoration: none;
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border-radius: 5px;
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df = pd.DataFrame([{
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'Rank': model.get('rank', 'N/A'),
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'Model ID': model.get('id', ''),
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'Likes': model.get('likes', 'N/A'),
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'Downloads': model.get('downloads', 'N/A'),
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'URL': target_models[model.get('id', '')]
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} for model in models])
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실시간으로 Hugging Face의 Spaces와 Models 순위를 분석합니다.
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""")
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with gr.Tab("Spaces Trending"):
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trending_plot = gr.Plot()
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trending_info = gr.HTML()
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trending_df = gr.DataFrame()
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with gr.Tab("Models Trending"):
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models_plot = gr.Plot()
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models_info = gr.HTML()
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models_df = gr.DataFrame()
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def refresh_all_data():
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trending_results = get_spaces_data("trending")
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models_results = get_models_data()
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return [*trending_results, *models_results]
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refresh_btn.click(
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refresh_all_data,
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outputs=[
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trending_plot, trending_info, trending_df,
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models_plot, models_info, models_df
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]
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)
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# 초기 데이터 로드
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trending_results = get_spaces_data("trending")
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models_results = get_models_data()
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trending_plot.value, trending_info.value, trending_df.value = trending_results
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models_plot.value, models_info.value, models_df.value = models_results
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# Gradio 앱 실행
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