Spaces:
Paused
Paused
add more limit
Browse files
app.py
CHANGED
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@@ -64,9 +64,10 @@ class BackendStatus:
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self.status = "completed"
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self.progress = 100
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self.end_time = time.time()
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self.history.append(
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def fail(self):
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self.status = "failed"
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@@ -93,10 +94,8 @@ class SessionManager:
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with cls._lock:
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to_remove = []
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for session_id, manager in cls._instances.items():
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if (
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and current_time - manager.last_activity > max_age
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):
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to_remove.append(session_id)
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for session_id in to_remove:
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@@ -106,7 +105,10 @@ class SessionManager:
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class GenerationManager:
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def __init__(self):
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self.backend_statuses = {
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self.last_activity = time.time()
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self.request_timestamps = [] # Track timestamps of requests
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@@ -116,7 +118,8 @@ class GenerationManager:
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def add_request_timestamp(self):
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self.request_timestamps.append(time.time())
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def has_exceeded_limit(self,
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current_time = time.time()
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# Filter timestamps to only include those within the last hour
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self.request_timestamps = [
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@@ -144,17 +147,14 @@ class GenerationManager:
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text=[f"{avg_duration:.2f}s"], # Show time in seconds
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textposition="auto",
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width=[0.5], # Make bars narrower
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)
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)
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# Set a minimum y-axis range if we have data
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if has_data:
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max_duration = max(
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[
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]
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)
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# Add 20% padding to the top
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y_max = max_duration * 1.2
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# Ensure the y-axis always starts at 0
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@@ -209,15 +209,19 @@ class GenerationManager:
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# Use aiohttp instead of requests for async
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async with aiohttp.ClientSession() as session:
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async with session.post(url, headers=headers,
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if response.status == 200:
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result = await response.json()
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request_id = result["data"]["id"]
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print(
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return request_id
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else:
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text = await response.text()
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raise Exception(
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except Exception as e:
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status.fail()
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@@ -231,6 +235,59 @@ class GenerationManager:
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return self
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# Helper function to create error images as data URIs
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def create_error_image(backend, error_message):
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try:
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@@ -305,9 +362,9 @@ async def poll_once(manager, backend, request_id):
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# It's base64 data - format it as a data URI if needed
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try:
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# Format as data URI for Gradio to display directly
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if isinstance(
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):
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# Convert raw base64 to data URI format
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return f"data:image/jpeg;base64,{output}"
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else:
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@@ -315,7 +372,8 @@ async def poll_once(manager, backend, request_id):
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return output
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except Exception as e:
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print(f"Error processing base64 image: {e}")
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raise Exception(
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elif current_status == "failed":
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manager.backend_statuses[backend].fail()
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@@ -347,17 +405,13 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🌊 WaveSpeedAI HiDream Arena")
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# Add the introduction with link to WaveSpeedAI
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gr.Markdown(
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"""
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[WaveSpeedAI](https://wavespeed.ai/) is the global pioneer in accelerating AI-powered video and image generation.
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Our in-house inference accelerator provides lossless speedup on image & video generation based on our rich inference optimization software stack, including our in-house inference compiler, CUDA kernel libraries and parallel computing libraries.
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"""
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gr.Markdown(
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"""
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This demo showcases the performance and outputs of leading image generation models, including HiDream and Flux, on our accelerated inference platform.
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"""
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)
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with gr.Row():
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with gr.Column(scale=3):
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@@ -375,18 +429,20 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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with gr.Column(scale=1):
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generate_btn = gr.Button("Generate", variant="primary")
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example_dropdown.change(
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# Two status boxes - small (default) and big (during generation)
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small_status_box = gr.Markdown("Ready to generate images",
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# Big status box in its own row with styling
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with gr.Row(elem_id="big-status-row"):
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big_status_box = gr.Markdown(
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with gr.Row():
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with gr.Column():
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@@ -399,27 +455,27 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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performance_plot = gr.Plot(label="Performance Metrics")
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with gr.Accordion("Recent Generations (last 16)", open=False):
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recent_gallery = gr.Gallery(
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def get_recent_gallery_items():
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gallery_items = []
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for r in reversed(recent_generations):
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gallery_items.append((r["flux-dev"], f"FLUX-dev: {r['prompt']}"))
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gallery_items.append(
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return gallery_items
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def update_recent_gallery(prompt, results):
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recent_generations.append(
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}
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)
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if len(recent_generations) > 16:
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recent_generations.pop(0)
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gallery_items = get_recent_gallery_items()
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@@ -470,7 +526,30 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.HTML(f"<style>{css}</style>")
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# Update the generation function to use session manager
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async def generate_all_backends_with_status_boxes(prompt,
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"""Generate images with big status box during generation"""
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# Get or create a session manager
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session_id, manager = SessionManager.get_manager(current_session_id)
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# Check if the user has exceeded the request limit
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if manager.has_exceeded_limit(
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): # Set the limit to 10 requests per hour
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error_message = "❌ You have exceeded the limit of 10 requests per hour. Please try again later."
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yield (
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error_message,
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poll_attempt = 0
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# Main polling loop
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while len(completed_backends
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poll_attempt += 1
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# Poll each pending backend
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@@ -569,9 +648,8 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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# Only do actual API calls every few attempts to reduce load
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if poll_attempt % 2 == 0 or backend == "flux-dev":
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# Use the session manager instead of global manager
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result = await poll_once(
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)
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if result: # Backend completed
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results[backend] = result
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completed_backends.add(backend)
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results["flux-dev"],
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results["hidream-dev"],
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results["hidream-full"],
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(
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-
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if any(completed_backends)
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else None
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),
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session_id,
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None,
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)
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await asyncio.sleep(0.1)
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# Final status
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final_status = (
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-
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else "⚠️ Some generations timed out"
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)
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gallery_update = update_recent_gallery(prompt, results)
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# Schedule periodic cleanup of old sessions
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def cleanup_task():
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SessionManager.cleanup_old_sessions()
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# Schedule the next cleanup
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threading.Timer(3600, cleanup_task).start() # Run every hour
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self.status = "completed"
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self.progress = 100
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self.end_time = time.time()
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self.history.append({
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"timestamp": datetime.now(),
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"duration": self.end_time - self.start_time
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})
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def fail(self):
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self.status = "failed"
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with cls._lock:
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to_remove = []
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for session_id, manager in cls._instances.items():
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if (hasattr(manager, "last_activity")
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and current_time - manager.last_activity > max_age):
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to_remove.append(session_id)
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for session_id in to_remove:
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class GenerationManager:
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def __init__(self):
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self.backend_statuses = {
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backend: BackendStatus()
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for backend in BACKENDS
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}
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self.last_activity = time.time()
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self.request_timestamps = [] # Track timestamps of requests
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def add_request_timestamp(self):
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self.request_timestamps.append(time.time())
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+
def has_exceeded_limit(self,
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limit=10): # Default limit: 10 requests per hour
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current_time = time.time()
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# Filter timestamps to only include those within the last hour
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self.request_timestamps = [
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text=[f"{avg_duration:.2f}s"], # Show time in seconds
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textposition="auto",
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width=[0.5], # Make bars narrower
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+
))
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# Set a minimum y-axis range if we have data
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if has_data:
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max_duration = max([
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max([h["duration"] for h in status.history] or [0])
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for status in self.backend_statuses.values()
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])
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# Add 20% padding to the top
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y_max = max_duration * 1.2
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# Ensure the y-axis always starts at 0
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# Use aiohttp instead of requests for async
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async with aiohttp.ClientSession() as session:
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async with session.post(url, headers=headers,
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json=payload) as response:
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if response.status == 200:
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result = await response.json()
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request_id = result["data"]["id"]
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print(
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f"Task submitted successfully. Request ID: {request_id}"
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)
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return request_id
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else:
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text = await response.text()
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raise Exception(
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f"API error: {response.status}, {text}")
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except Exception as e:
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status.fail()
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return self
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class ClientManager:
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_instances = {}
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_lock = threading.Lock()
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+
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@classmethod
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def get_manager(cls, client_id=None):
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if not client_id:
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client_id = str(uuid.uuid4())
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+
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with cls._lock:
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if client_id not in cls._instances:
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cls._instances[client_id] = ClientGenerationManager()
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return cls._instances[client_id]
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+
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+
@classmethod
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def cleanup_old_clients(cls, max_age=3600): # 1 hour default
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current_time = time.time()
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with cls._lock:
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to_remove = []
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for client_id, manager in cls._instances.items():
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if (hasattr(manager, "last_activity")
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and current_time - manager.last_activity > max_age):
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to_remove.append(client_id)
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+
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for client_id in to_remove:
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del cls._instances[client_id]
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class ClientGenerationManager:
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def __init__(self):
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self.lock = threading.Lock()
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def update_activity(self):
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with self.lock:
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self.last_activity = time.time()
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+
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def add_request_timestamp(self):
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with self.lock:
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self.request_timestamps.append(time.time())
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+
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def has_exceeded_limit(self,
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limit=100): # Default limit: 50 requests per hour
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with self.lock:
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current_time = time.time()
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# Filter timestamps to only include those within the last hour
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self.request_timestamps = [
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ts for ts in self.request_timestamps
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if current_time - ts <= 3600
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]
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return len(self.request_timestamps) >= limit
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+
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+
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# Helper function to create error images as data URIs
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def create_error_image(backend, error_message):
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try:
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# It's base64 data - format it as a data URI if needed
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try:
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# Format as data URI for Gradio to display directly
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+
if isinstance(
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output, str
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) and not output.startswith("data:image"):
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# Convert raw base64 to data URI format
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return f"data:image/jpeg;base64,{output}"
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else:
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return output
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except Exception as e:
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print(f"Error processing base64 image: {e}")
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raise Exception(
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f"Failed to process base64 image: {str(e)}")
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elif current_status == "failed":
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manager.backend_statuses[backend].fail()
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gr.Markdown("# 🌊 WaveSpeedAI HiDream Arena")
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# Add the introduction with link to WaveSpeedAI
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+
gr.Markdown("""
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| 409 |
[WaveSpeedAI](https://wavespeed.ai/) is the global pioneer in accelerating AI-powered video and image generation.
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| 410 |
Our in-house inference accelerator provides lossless speedup on image & video generation based on our rich inference optimization software stack, including our in-house inference compiler, CUDA kernel libraries and parallel computing libraries.
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| 411 |
+
""")
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+
gr.Markdown("""
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This demo showcases the performance and outputs of leading image generation models, including HiDream and Flux, on our accelerated inference platform.
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+
""")
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with gr.Row():
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with gr.Column(scale=3):
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with gr.Column(scale=1):
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generate_btn = gr.Button("Generate", variant="primary")
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| 432 |
+
example_dropdown.change(lambda ex: ex,
|
| 433 |
+
inputs=[example_dropdown],
|
| 434 |
+
outputs=[input_text])
|
| 435 |
|
| 436 |
# Two status boxes - small (default) and big (during generation)
|
| 437 |
+
small_status_box = gr.Markdown("Ready to generate images",
|
| 438 |
+
elem_id="small-status")
|
| 439 |
|
| 440 |
# Big status box in its own row with styling
|
| 441 |
with gr.Row(elem_id="big-status-row"):
|
| 442 |
+
big_status_box = gr.Markdown("",
|
| 443 |
+
elem_id="big-status",
|
| 444 |
+
visible=False,
|
| 445 |
+
elem_classes="big-status-box")
|
| 446 |
|
| 447 |
with gr.Row():
|
| 448 |
with gr.Column():
|
|
|
|
| 455 |
performance_plot = gr.Plot(label="Performance Metrics")
|
| 456 |
|
| 457 |
with gr.Accordion("Recent Generations (last 16)", open=False):
|
| 458 |
+
recent_gallery = gr.Gallery(label="Prompt and Output",
|
| 459 |
+
columns=3,
|
| 460 |
+
interactive=False)
|
| 461 |
|
| 462 |
def get_recent_gallery_items():
|
| 463 |
gallery_items = []
|
| 464 |
for r in reversed(recent_generations):
|
| 465 |
gallery_items.append((r["flux-dev"], f"FLUX-dev: {r['prompt']}"))
|
| 466 |
+
gallery_items.append(
|
| 467 |
+
(r["hidream-dev"], f"HiDream-dev: {r['prompt']}"))
|
| 468 |
+
gallery_items.append(
|
| 469 |
+
(r["hidream-full"], f"HiDream-full: {r['prompt']}"))
|
| 470 |
return gallery_items
|
| 471 |
|
| 472 |
def update_recent_gallery(prompt, results):
|
| 473 |
+
recent_generations.append({
|
| 474 |
+
"prompt": prompt,
|
| 475 |
+
"flux-dev": results["flux-dev"],
|
| 476 |
+
"hidream-dev": results["hidream-dev"],
|
| 477 |
+
"hidream-full": results["hidream-full"],
|
| 478 |
+
})
|
|
|
|
|
|
|
| 479 |
if len(recent_generations) > 16:
|
| 480 |
recent_generations.pop(0)
|
| 481 |
gallery_items = get_recent_gallery_items()
|
|
|
|
| 526 |
gr.HTML(f"<style>{css}</style>")
|
| 527 |
|
| 528 |
# Update the generation function to use session manager
|
| 529 |
+
async def generate_all_backends_with_status_boxes(prompt,
|
| 530 |
+
current_session_id,
|
| 531 |
+
request: gr.Request):
|
| 532 |
+
client_ip = request.client.host
|
| 533 |
+
print(f"Client IP: {client_ip}")
|
| 534 |
+
client_generation_manager = ClientManager.get_manager(client_ip)
|
| 535 |
+
client_generation_manager.update_activity()
|
| 536 |
+
if client_generation_manager.has_exceeded_limit(limit=100):
|
| 537 |
+
error_message = "❌ Your network has exceeded the limit of 100 requests per hour. Please try again later."
|
| 538 |
+
yield (
|
| 539 |
+
error_message,
|
| 540 |
+
error_message,
|
| 541 |
+
gr.update(visible=False),
|
| 542 |
+
gr.update(visible=True),
|
| 543 |
+
None,
|
| 544 |
+
None,
|
| 545 |
+
None,
|
| 546 |
+
None,
|
| 547 |
+
current_session_id, # Return the session ID
|
| 548 |
+
None,
|
| 549 |
+
)
|
| 550 |
+
return
|
| 551 |
+
|
| 552 |
+
client_generation_manager.add_request_timestamp()
|
| 553 |
"""Generate images with big status box during generation"""
|
| 554 |
# Get or create a session manager
|
| 555 |
session_id, manager = SessionManager.get_manager(current_session_id)
|
|
|
|
| 557 |
|
| 558 |
# Check if the user has exceeded the request limit
|
| 559 |
if manager.has_exceeded_limit(
|
| 560 |
+
limit=10): # Set the limit to 10 requests per hour
|
|
|
|
| 561 |
error_message = "❌ You have exceeded the limit of 10 requests per hour. Please try again later."
|
| 562 |
yield (
|
| 563 |
error_message,
|
|
|
|
| 635 |
poll_attempt = 0
|
| 636 |
|
| 637 |
# Main polling loop
|
| 638 |
+
while len(completed_backends
|
| 639 |
+
) < 3 and poll_attempt < max_poll_attempts:
|
| 640 |
poll_attempt += 1
|
| 641 |
|
| 642 |
# Poll each pending backend
|
|
|
|
| 648 |
# Only do actual API calls every few attempts to reduce load
|
| 649 |
if poll_attempt % 2 == 0 or backend == "flux-dev":
|
| 650 |
# Use the session manager instead of global manager
|
| 651 |
+
result = await poll_once(manager, backend,
|
| 652 |
+
request_ids[backend])
|
|
|
|
| 653 |
if result: # Backend completed
|
| 654 |
results[backend] = result
|
| 655 |
completed_backends.add(backend)
|
|
|
|
| 663 |
results["flux-dev"],
|
| 664 |
results["hidream-dev"],
|
| 665 |
results["hidream-full"],
|
| 666 |
+
(manager.get_performance_plot()
|
| 667 |
+
if any(completed_backends) else None),
|
|
|
|
|
|
|
|
|
|
| 668 |
session_id,
|
| 669 |
None,
|
| 670 |
)
|
|
|
|
| 675 |
await asyncio.sleep(0.1)
|
| 676 |
|
| 677 |
# Final status
|
| 678 |
+
final_status = ("✅ All generations completed!"
|
| 679 |
+
if len(completed_backends) == 3 else
|
| 680 |
+
"⚠️ Some generations timed out")
|
|
|
|
|
|
|
| 681 |
|
| 682 |
gallery_update = update_recent_gallery(prompt, results)
|
| 683 |
|
|
|
|
| 714 |
# Schedule periodic cleanup of old sessions
|
| 715 |
def cleanup_task():
|
| 716 |
SessionManager.cleanup_old_sessions()
|
| 717 |
+
ClientManager.cleanup_old_clients()
|
| 718 |
# Schedule the next cleanup
|
| 719 |
threading.Timer(3600, cleanup_task).start() # Run every hour
|
| 720 |
|