Upload folder using huggingface_hub

Dockerfile

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+FROM python:3.10-slim
+
+WORKDIR /app
+
+RUN pip install --no-cache-dir gradio==3.50.2 requests>=2.28.0
+
+COPY app.py .
+
+
+EXPOSE 7860
+ENV GRADIO_SERVER_NAME="0.0.0.0"
+ENV GRADIO_SERVER_PORT="7860"
+
+CMD ["python", "app.py"]

README.md

@@ -1,10 +1,10 @@
 ---
-title: Upscaler Comparison
-emoji: ⚡
-colorFrom: pink
-colorTo: green
+title: Image Upscaler Comparison
+emoji: 🖼️
+colorFrom: blue
+colorTo: purple
 sdk: docker
 pinned: false
+license: mit
+short_description: Compare Image Upscaler vs Ultimate Upscaler side by sid...
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+"""
+Image Upscaler Comparison - Model Comparison
+Powered by WaveSpeed AI - Auto-generated by Space Generator
+"""
+
+import gradio as gr
+import requests
+import time
+from typing import Dict, Any
+
+# ============ API Configuration ============
+WAVESPEED_API_BASE = "https://api.wavespeed.ai/api/v3"
+UPLOAD_ENDPOINT = "https://api.wavespeed.ai/api/v3/media/upload/binary"
+
+MODEL_A_ENDPOINT = "wavespeed-ai/image-upscaler"
+MODEL_A_NAME = "Image Upscaler"
+
+MODEL_B_ENDPOINT = "wavespeed-ai/ultimate-image-upscaler"
+MODEL_B_NAME = "Ultimate Upscaler"
+
+POLL_INTERVAL = 1.5
+POLL_MAX_SECONDS = 120
+
+
+
+# ============ CSS ============
+CUSTOM_CSS = """
+/* ===== Base Styles ===== */
+html, body, .gradio-container {
+    background: linear-gradient(145deg, #f5f3ff 0%, #ede9fe 50%, #e0e7ff 100%) !important;
+    font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif !important;
+}
+
+.gradio-container {
+    max-width: 1200px !important;
+    margin: 0 auto !important;
+    padding: 24px !important;
+}
+
+/* ===== Hero Section ===== */
+.hero-container {
+    text-align: center;
+    padding: 40px 20px 30px;
+}
+
+.hero-badge {
+    display: inline-block;
+    background: linear-gradient(135deg, #06b6d4, #0891b2);
+    padding: 10px 24px;
+    border-radius: 50px;
+    font-size: 0.7rem;
+    color: #fff;
+    font-weight: 700;
+    letter-spacing: 1.5px;
+    margin-bottom: 16px;
+    box-shadow: 0 4px 20px rgba(139, 92, 246, 0.35);
+}
+
+.hero-title {
+    font-size: 2.5rem;
+    font-weight: 800;
+    margin: 0 0 12px 0;
+    background: linear-gradient(135deg, #6d28d9 0%, #06b6d4 50%, #a78bfa 100%);
+    -webkit-background-clip: text;
+    -webkit-text-fill-color: transparent;
+    background-clip: text;
+}
+
+.hero-desc {
+    font-size: 1rem;
+    color: #64748b;
+    max-width: 100%;
+    margin: 0 auto 16px;
+    line-height: 1.6;
+}
+
+/* ===== Main Card ===== */
+.main-card {
+    background: #ffffff;
+    border: 1px solid rgba(139, 92, 246, 0.1);
+    border-radius: 20px;
+    padding: 24px;
+    margin-bottom: 16px;
+    box-shadow: 0 4px 24px rgba(139, 92, 246, 0.08);
+}
+
+/* ===== Model Labels ===== */
+.model-label {
+    display: inline-block;
+    padding: 6px 14px;
+    border-radius: 8px;
+    font-weight: 700;
+    font-size: 0.85rem;
+    margin-bottom: 12px;
+}
+
+.model-a-label {
+    background: linear-gradient(135deg, #3b82f6, #2563eb);
+    color: #fff;
+}
+
+.model-b-label {
+    background: linear-gradient(135deg, #10b981, #059669);
+    color: #fff;
+}
+
+/* ===== VS Divider ===== */
+.vs-divider {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    padding: 8px 0;
+}
+
+.vs-badge {
+    background: linear-gradient(135deg, #06b6d4, #0891b2);
+    color: #fff;
+    padding: 8px 16px;
+    border-radius: 20px;
+    font-weight: 800;
+    font-size: 0.9rem;
+    box-shadow: 0 4px 12px rgba(139, 92, 246, 0.3);
+}
+
+/* ===== API Key Section ===== */
+.api-key-row {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    margin-bottom: 12px;
+}
+
+.api-key-label {
+    display: flex;
+    align-items: center;
+    gap: 10px;
+    color: #1e293b;
+    font-weight: 700;
+    font-size: 1rem;
+}
+
+.get-key-btn {
+    padding: 10px 20px;
+    background: linear-gradient(135deg, #06b6d4, #0891b2);
+    border: none;
+    border-radius: 10px;
+    color: #fff !important;
+    text-decoration: none;
+    font-weight: 600;
+    font-size: 0.85rem;
+    transition: all 0.25s ease;
+    box-shadow: 0 4px 12px rgba(139, 92, 246, 0.3);
+}
+
+.get-key-btn:hover {
+    transform: translateY(-2px);
+    box-shadow: 0 6px 20px rgba(139, 92, 246, 0.4);
+}
+
+/* ===== Section Title ===== */
+.section-title {
+    color: #1e293b;
+    font-weight: 700;
+    font-size: 1rem;
+    display: flex;
+    align-items: center;
+    gap: 10px;
+    margin-bottom: 12px;
+}
+
+/* ===== Upload Area ===== */
+.upload-area {
+    border: 2px dashed rgba(139, 92, 246, 0.3) !important;
+    border-radius: 16px !important;
+    background: linear-gradient(145deg, #faf5ff 0%, #f5f3ff 100%) !important;
+    min-height: 180px !important;
+}
+
+/* ===== Result Areas ===== */
+.result-area-a {
+    border: 2px solid rgba(59, 130, 246, 0.3) !important;
+    border-radius: 16px !important;
+    background: rgba(239, 246, 255, 0.5) !important;
+    min-height: 200px !important;
+}
+
+.result-area-b {
+    border: 2px solid rgba(16, 185, 129, 0.3) !important;
+    border-radius: 16px !important;
+    background: rgba(236, 253, 245, 0.5) !important;
+    min-height: 200px !important;
+}
+
+/* ===== Button Styling ===== */
+.compare-btn {
+    width: 100%;
+    margin-top: 16px !important;
+    background: linear-gradient(135deg, #06b6d4, #0891b2) !important;
+    border: none !important;
+    color: #fff !important;
+    font-weight: 700 !important;
+    font-size: 1.1rem !important;
+    padding: 16px 28px !important;
+    border-radius: 12px !important;
+    box-shadow: 0 4px 16px rgba(139, 92, 246, 0.35) !important;
+}
+
+.compare-btn:hover {
+    transform: translateY(-2px) !important;
+    box-shadow: 0 8px 24px rgba(139, 92, 246, 0.45) !important;
+}
+
+/* ===== CTA Section ===== */
+.cta-container {
+    text-align: center;
+    padding: 36px 28px;
+    background: linear-gradient(135deg, #06b6d4 0%, #0891b2 50%, #6d28d9 100%);
+    border-radius: 20px;
+    margin-top: 8px;
+    box-shadow: 0 8px 32px rgba(139, 92, 246, 0.35);
+}
+
+.cta-title {
+    color: #fff;
+    font-size: 1.4rem;
+    font-weight: 800;
+    margin: 0 0 8px 0;
+}
+
+.cta-desc {
+    color: rgba(255, 255, 255, 0.9);
+    font-size: 0.95rem;
+    margin: 0 0 20px 0;
+}
+
+.cta-btn {
+    display: inline-block;
+    padding: 12px 32px;
+    background: #fff;
+    border-radius: 12px;
+    color: #0891b2 !important;
+    text-decoration: none;
+    font-weight: 700;
+    font-size: 0.95rem;
+    box-shadow: 0 4px 16px rgba(0, 0, 0, 0.1);
+}
+
+.cta-btn:hover {
+    transform: translateY(-3px);
+    box-shadow: 0 8px 24px rgba(0, 0, 0, 0.15);
+}
+
+/* ===== Hide Elements ===== */
+footer { display: none !important; }
+
+/* ===== Input Styling ===== */
+.gradio-container input[type="password"],
+.gradio-container input[type="text"] {
+    border: 2px solid #e2e8f0 !important;
+    border-radius: 12px !important;
+    padding: 12px 14px !important;
+    font-size: 0.95rem !important;
+}
+
+.gradio-container input:focus {
+    border-color: #06b6d4 !important;
+    box-shadow: 0 0 0 3px rgba(139, 92, 246, 0.15) !important;
+}
+"""
+
+
+# ============ API Functions ============
+def upload_image(api_key: str, file_path: str) -> str:
+    headers = {"Authorization": f"Bearer {api_key.strip()}"}
+    with open(file_path, "rb") as f:
+        resp = requests.post(UPLOAD_ENDPOINT, headers=headers, files={"file": f}, timeout=60)
+    if resp.status_code == 401:
+        raise Exception("Invalid API Key")
+    elif resp.status_code >= 400:
+        raise Exception(f"Upload failed: {resp.status_code}")
+    data = resp.json()
+    if data.get("code") != 200:
+        raise Exception(data.get("message", "Upload failed"))
+    return data.get("data", {}).get("download_url")
+
+
+def call_api(api_key: str, endpoint: str, payload: Dict[str, Any]) -> Dict[str, Any]:
+    headers = {"Authorization": f"Bearer {api_key.strip()}", "Content-Type": "application/json"}
+    resp = requests.post(f"{WAVESPEED_API_BASE}/{endpoint}", json=payload, headers=headers, timeout=30)
+    if resp.status_code == 401:
+        raise Exception("Invalid API Key")
+    elif resp.status_code == 429:
+        raise Exception("Quota exceeded")
+    elif resp.status_code >= 400:
+        raise Exception(f"API error: {resp.status_code}")
+    data = resp.json()
+    if data.get("code") != 200:
+        raise Exception(data.get("message", "Unknown error"))
+    return data.get("data", {})
+
+
+def poll_result(api_key: str, request_id: str) -> Dict[str, Any]:
+    headers = {"Authorization": f"Bearer {api_key.strip()}"}
+    url = f"{WAVESPEED_API_BASE}/predictions/{request_id}/result"
+    start_time = time.time()
+    while time.time() - start_time < POLL_MAX_SECONDS:
+        resp = requests.get(url, headers=headers, timeout=30)
+        if resp.status_code >= 400:
+            raise Exception("Failed to get result")
+        result = resp.json().get("data", {})
+        status = result.get("status", "")
+        if status == "completed":
+            return result
+        elif status == "failed":
+            raise Exception("Generation failed")
+        time.sleep(POLL_INTERVAL)
+    raise Exception("Timeout")
+
+
+def run_model(api_key: str, endpoint: str, payload: Dict[str, Any]):
+    """运行单个模型"""
+    try:
+        result = call_api(api_key, endpoint, payload)
+        request_id = result.get("id")
+        if not request_id:
+            return None
+        final_result = poll_result(api_key, request_id)
+        outputs = final_result.get("outputs", [])
+        if outputs:
+            return outputs[0]
+        return None
+    except Exception as e:
+        return None
+
+
+def compare_models(api_key: str, image_path: str):
+    """同时运行两个模型进行对比"""
+    if not api_key or not api_key.strip():
+        gr.Warning("Please enter your API Key")
+        return None, None
+    if not image_path:
+        gr.Warning("Please upload an image")
+        return None, None
+
+    try:
+        gr.Info("Uploading image...")
+        image_url = upload_image(api_key, image_path)
+    except Exception as e:
+        gr.Warning(f"Upload failed: {e}")
+        return None, None
+
+    gr.Info(f"Running {MODEL_A_NAME}...")
+    payload_a = {
+            "image": image_url,
+            "enable_base64_output": False,
+            "enable_sync_mode": False
+        }
+    result_a = run_model(api_key, MODEL_A_ENDPOINT, payload_a)
+
+    gr.Info(f"Running {MODEL_B_NAME}...")
+    payload_b = {
+            "image": image_url,
+            "enable_base64_output": False,
+            "enable_sync_mode": False
+        }
+    result_b = run_model(api_key, MODEL_B_ENDPOINT, payload_b)
+
+    if result_a and result_b:
+        gr.Info("Comparison complete!")
+    elif result_a:
+        gr.Warning(f"{MODEL_B_NAME} failed")
+    elif result_b:
+        gr.Warning(f"{MODEL_A_NAME} failed")
+    else:
+        gr.Warning("Both models failed")
+
+    return result_a, result_b
+
+
+# ============ Gradio UI ============
+with gr.Blocks(css=CUSTOM_CSS, title="Image Upscaler Comparison") as demo:
+
+    # Hero Section
+    gr.HTML("""
+        <div class="hero-container">
+            <div class="hero-badge">WAVESPEED AI</div>
+            <h1 class="hero-title">Image Upscaler Comparison</h1>
+            <p class="hero-desc">Compare Image Upscaler vs Ultimate Upscaler side by side.</p>
+        </div>
+    """)
+
+    
+
+    # API Key Card
+    with gr.Group(elem_classes="main-card"):
+        gr.HTML("""
+            <div class="api-key-row">
+                <span class="api-key-label">
+                    <svg width="20" height="20" fill="#06b6d4" viewBox="0 0 20 20"><path fill-rule="evenodd" d="M18 8a6 6 0 01-7.743 5.743L10 14l-1 1-1 1H6v2H2v-4l4.257-4.257A6 6 0 1118 8zm-6-4a1 1 0 100 2 2 2 0 012 2 1 1 0 102 0 4 4 0 00-4-4z" clip-rule="evenodd"/></svg>
+                    API Key
+                </span>
+                <a href="https://wavespeed.ai/accesskey" target="_blank" class="get-key-btn">Get API Key</a>
+            </div>
+        """)
+        api_key_input = gr.Textbox(
+            placeholder="Enter your WaveSpeed API key",
+            type="password",
+            show_label=False
+        )
+
+    # Input Section
+    with gr.Group(elem_classes="main-card"):
+        gr.HTML("""
+            <div class="section-title">
+                <svg width="20" height="20" fill="#06b6d4" viewBox="0 0 20 20"><path fill-rule="evenodd" d="M4 3a2 2 0 00-2 2v10a2 2 0 002 2h12a2 2 0 002-2V5a2 2 0 00-2-2H4zm12 12H4l4-8 3 6 2-4 3 6z" clip-rule="evenodd"/></svg>
+                Input
+            </div>
+        """)
+        image_input = gr.Image(
+            label="Upload Image",
+            type="filepath",
+            source="upload",
+            elem_classes="upload-area"
+        )
+        compare_btn = gr.Button("🔄 Compare Models", variant="primary", elem_classes="compare-btn")
+
+    # Results Section
+    with gr.Group(elem_classes="main-card"):
+        with gr.Row():
+            with gr.Column(scale=1):
+                gr.HTML(f'<span class="model-label model-a-label">{MODEL_A_NAME}</span>')
+                output_a = gr.Image(label="", interactive=False, elem_classes="result-area-a")
+
+            with gr.Column(scale=1):
+                gr.HTML(f'<span class="model-label model-b-label">{MODEL_B_NAME}</span>')
+                output_b = gr.Image(label="", interactive=False, elem_classes="result-area-b")
+
+    # CTA Section
+    gr.HTML("""
+        <div class="cta-container">
+            <h3 class="cta-title">Want More Features?</h3>
+            <p class="cta-desc">Higher resolutions, batch processing, and 700+ AI models</p>
+            <a href="https://wavespeed.ai/models" target="_blank" class="cta-btn">
+                Explore WaveSpeed.ai
+            </a>
+        </div>
+    """)
+
+    # Event binding
+    compare_btn.click(
+        fn=compare_models,
+        inputs=[api_key_input, image_input],
+        outputs=[output_a, output_b],
+    )
+
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860)