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Update app.py
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app.py
CHANGED
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@@ -2,7 +2,7 @@
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import os
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import time
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import tempfile
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from typing import Optional, Tuple, List
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import gradio as gr
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from PIL import Image
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@@ -17,7 +17,7 @@ API_NAME = "/tryon"
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# ----------------------------
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# Auth for company demo (no HF accounts needed)
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#
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# DEMO_USER=RVtest
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# DEMO_PASS=rv2026
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# ----------------------------
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@@ -34,10 +34,10 @@ ALLOWED_EXTS = (".png", ".jpg", ".jpeg", ".webp")
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def list_garments() -> List[str]:
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try:
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files = [
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if f.lower().endswith(ALLOWED_EXTS) and not f.startswith(".")
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-
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files.sort()
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return files
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except Exception:
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@@ -61,7 +61,6 @@ def load_garment_pil(filename: str) -> Optional[Image.Image]:
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def build_gallery_items(files: List[str]):
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# (image, caption). Caption empty = cleaner UI
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return [(garment_path(f), "") for f in files]
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@@ -70,7 +69,6 @@ def build_gallery_items(files: List[str]):
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# ----------------------------
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HF_TOKEN = os.getenv("HF_TOKEN", "")
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print("HF_TOKEN set:", bool(HF_TOKEN), "len:", len(HF_TOKEN) if HF_TOKEN else 0)
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-
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if HF_TOKEN:
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try:
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login(token=HF_TOKEN, add_to_git_credential=False)
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@@ -81,50 +79,14 @@ else:
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print("HF login: skipped (no token in env)")
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# ----------------------------
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# Client caching
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# ----------------------------
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_client: Optional[Client] = None
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def reset_client():
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global _client
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_client = None
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def get_client() -> Client:
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"""
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gradio_client differs by version. Newer versions support hf_token=...
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Older versions don't. We fallback gracefully.
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"""
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global _client
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if _client is None:
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try:
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if HF_TOKEN:
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_client = Client(SPACE, hf_token=HF_TOKEN) # may raise TypeError on older versions
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else:
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_client = Client(SPACE)
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except TypeError:
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_client = Client(SPACE)
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return _client
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# ----------------------------
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# Helpers
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# ----------------------------
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def clamp_int(x, lo, hi):
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try:
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x = int(x)
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except Exception:
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x = lo
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return max(lo, min(hi, x))
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-
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-
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def save_pil_temp(pil_img: Image.Image, suffix: str = ".png") -> str:
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f = tempfile.NamedTemporaryFile(delete=False, suffix=suffix)
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path = f.name
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f.close()
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pil_img.save(path, format="PNG")
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return path
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@@ -145,10 +107,33 @@ def allow_call(min_interval_sec: float = 3.0) -> Tuple[bool, str]:
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return True, ""
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# ----------------------------
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# Core inference (remote call)
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# ----------------------------
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def tryon_remote(person_pil, garment_filename):
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ok, msg = allow_call(3.0)
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if not ok:
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return None, msg
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@@ -178,7 +163,7 @@ def tryon_remote(person_pil, garment_filename):
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for attempt in range(1, 7):
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try:
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client =
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result = client.predict(
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dict={"background": handle_file(p_path), "layers": [], "composite": None},
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@@ -206,7 +191,6 @@ def tryon_remote(person_pil, garment_filename):
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or "read operation timed out" in msg_l
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or "timed out" in msg_l
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)
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is_busy = (
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"too many requests" in msg_l
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or "queue" in msg_l
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@@ -214,14 +198,19 @@ def tryon_remote(person_pil, garment_filename):
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or "overloaded" in msg_l
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or "capacity" in msg_l
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)
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-
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-
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if is_timeout or is_busy or is_expired:
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reset_client()
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time.sleep(4.0 * attempt)
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continue
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time.sleep(1.2 * attempt)
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tail = str(last_err)[:240] if last_err else "unknown error"
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@@ -297,21 +286,18 @@ with gr.Blocks(title="Virtual Try-On Rendez-vous", css=CUSTOM_CSS) as demo:
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with gr.Column():
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out = gr.Image(label="Результат", type="pil", height=760)
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# Update selection on click
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garment_gallery.select(
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fn=on_gallery_select,
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inputs=[garment_files_state],
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outputs=[selected_garment_state, selected_label],
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)
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# Refresh catalog after uploading new garments
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refresh_btn.click(
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fn=refresh_catalog,
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inputs=[],
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outputs=[garment_gallery, garment_files_state, selected_garment_state, status],
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)
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# Run try-on
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run.click(
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fn=tryon_remote,
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inputs=[person, selected_garment_state],
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@@ -325,5 +311,5 @@ if __name__ == "__main__":
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share=False,
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debug=False,
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ssr_mode=False,
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auth=APP_AUTH,
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)
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import os
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import time
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import tempfile
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from typing import Optional, Tuple, List, Dict
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import gradio as gr
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from PIL import Image
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# ----------------------------
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# Auth for company demo (no HF accounts needed)
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# Secrets:
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# DEMO_USER=RVtest
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# DEMO_PASS=rv2026
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# ----------------------------
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def list_garments() -> List[str]:
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try:
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files = [
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f for f in os.listdir(GARMENT_DIR)
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if f.lower().endswith(ALLOWED_EXTS) and not f.startswith(".")
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]
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files.sort()
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return files
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except Exception:
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def build_gallery_items(files: List[str]):
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return [(garment_path(f), "") for f in files]
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# ----------------------------
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HF_TOKEN = os.getenv("HF_TOKEN", "")
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print("HF_TOKEN set:", bool(HF_TOKEN), "len:", len(HF_TOKEN) if HF_TOKEN else 0)
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if HF_TOKEN:
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try:
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login(token=HF_TOKEN, add_to_git_credential=False)
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print("HF login: skipped (no token in env)")
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# ----------------------------
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# Helpers
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# ----------------------------
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def save_pil_temp(pil_img: Image.Image, suffix: str = ".png") -> str:
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f = tempfile.NamedTemporaryFile(delete=False, suffix=suffix)
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path = f.name
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f.close()
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pil_img.save(path, format="PNG")
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return path
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return True, ""
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def make_client_from_request(request: gr.Request) -> Client:
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"""
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IMPORTANT for ZeroGPU Spaces:
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Forward X-IP-Token so the downstream ZeroGPU Space applies rate limits/quota
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per user correctly (instead of treating calls as unauthenticated).
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"""
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headers: Dict[str, str] = {}
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try:
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# Gradio normalizes headers to lowercase keys
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x_ip_token = request.headers.get("x-ip-token")
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if x_ip_token:
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headers["x-ip-token"] = x_ip_token
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except Exception:
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pass
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# Some gradio_client versions accept headers=..., some may not. Fallback safely.
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try:
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return Client(SPACE, headers=headers) if headers else Client(SPACE)
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except TypeError:
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# older client: no headers kwarg
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return Client(SPACE)
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# ----------------------------
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# Core inference (remote call)
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# ----------------------------
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def tryon_remote(person_pil, garment_filename, request: gr.Request):
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ok, msg = allow_call(3.0)
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if not ok:
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return None, msg
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for attempt in range(1, 7):
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try:
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client = make_client_from_request(request)
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result = client.predict(
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dict={"background": handle_file(p_path), "layers": [], "composite": None},
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or "read operation timed out" in msg_l
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or "timed out" in msg_l
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)
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is_busy = (
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"too many requests" in msg_l
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or "queue" in msg_l
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or "overloaded" in msg_l
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or "capacity" in msg_l
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)
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is_quota = "quota" in msg_l and "zerogpu" in msg_l
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# Retry on transient issues; quota will likely not improve immediately
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if is_timeout or is_busy:
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time.sleep(4.0 * attempt)
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continue
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if is_quota:
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return None, (
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"⚠️ Лимит ZeroGPU на стороне модели исчерпан для текущего пользователя.\n"
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"Попробуйте позже или используйте меньше попыток подряд."
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)
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time.sleep(1.2 * attempt)
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tail = str(last_err)[:240] if last_err else "unknown error"
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with gr.Column():
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out = gr.Image(label="Результат", type="pil", height=760)
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garment_gallery.select(
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fn=on_gallery_select,
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inputs=[garment_files_state],
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outputs=[selected_garment_state, selected_label],
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)
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refresh_btn.click(
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fn=refresh_catalog,
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inputs=[],
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outputs=[garment_gallery, garment_files_state, selected_garment_state, status],
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)
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run.click(
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fn=tryon_remote,
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inputs=[person, selected_garment_state],
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share=False,
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debug=False,
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ssr_mode=False,
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auth=APP_AUTH,
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)
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