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Upload streamlit_app.py
Browse files- streamlit_app.py +354 -209
streamlit_app.py
CHANGED
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# streamlit_app.py — Fit Studio AI (Fashion & Apparel) v0.
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#
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# Demo:
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import os, io, zipfile, base64, requests, streamlit as st
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from pathlib import Path
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from PIL import Image
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# ================= Env & API =================
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def _env(k):
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return (os.getenv(k) or "").strip().strip("'\"")
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API_BASE = (
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_env("FITSTUDIO_API")
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or _env("AI_LIGHTBOX_API")
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or _env("LUXFIT_API")
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).rstrip("/") if (
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HF_TOKEN = (_env("FITSTUDIO_TOKEN") or _env("AI_LIGHTBOX_TOKEN") or _env("LUXFIT_TOKEN"))
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HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"} if HF_TOKEN else {}
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if not API_BASE:
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st.error("API_BASE
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st.stop()
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# =================
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st.set_page_config(page_title="Fit Studio AI", layout="wide", page_icon="🧵")
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st.
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# ================= Helpers =================
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def _needs_auth(url: str) -> bool:
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@@ -41,6 +89,9 @@ def _needs_auth(url: str) -> bool:
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@st.cache_data(ttl=300, show_spinner=False)
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def fetch_bytes(url_or_path: str | None):
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if not url_or_path:
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return None
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try:
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return None
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@st.cache_data(ttl=300, show_spinner=False)
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def
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im = Image.open(io.BytesIO(img_bytes)).convert("RGB")
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w, h = im.size
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scale = min(out_w / w, out_h / h)
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new_w, new_h = max(1, int(w*scale)), max(1, int(h*scale))
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im_r = im.resize((new_w, new_h), Image.LANCZOS)
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canvas = Image.new("RGB", (out_w, out_h), bg)
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off = ((out_w - new_w)//2, (out_h - new_h)//2)
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canvas.paste(im_r, off)
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buf = io.BytesIO(); canvas.save(buf, format="PNG"); return buf.getvalue()
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def infer_ext(b: bytes) -> str:
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try:
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return "." + {"jpeg":"jpg","jpg":"jpg","png":"png","webp":"webp"}.get(fmt, "jpg")
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except Exception:
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return ".jpg"
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def backend_ok() -> bool:
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try:
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r = requests.get(f"{API_BASE}/health", headers=HEADERS if HF_TOKEN else None, timeout=10)
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r.raise_for_status()
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except Exception:
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return False
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def post_image_edit(data: dict, files_payload):
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r = requests.post(f"{API_BASE}/v1/image/edit", data=data, files=files_payload or None,
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headers=HEADERS if HF_TOKEN else None, timeout=600)
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r.raise_for_status()
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def post_chain(data: dict, files_payload):
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payload = {**data, "to_video": "false"} # video ayrı
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r = requests.post(f"{API_BASE}/v1/tryon/chain", data=payload, files=files_payload or None,
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headers=HEADERS if HF_TOKEN else None, timeout=600)
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r.raise_for_status()
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headers=HEADERS if HF_TOKEN else None, timeout=600)
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r.raise_for_status()
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def make_zip(named: list[tuple[str, bytes]]) -> bytes:
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buf = io.BytesIO()
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with zipfile.ZipFile(buf, "w", compression=zipfile.ZIP_DEFLATED) as z:
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for name, b in named:
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if b: z.writestr(name, b)
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buf.seek(0); return buf.read()
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# =================
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st.title("🧵 Fit Studio AI")
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st.caption("9:16
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ok = backend_ok()
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c0, c1, c2, c3, c4, c5 = st.columns([1.
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with c0:
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category = st.selectbox("Kategori", ["general","underwear"], index=0)
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with c1:
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gender = st.selectbox("Cinsiyet", ["auto","female","male","unisex"], index=0)
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with c2:
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age_group = st.selectbox("Yaş
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with c3:
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num_images = st.selectbox("Çıktı adedi", [1,2,3,4], index=0)
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with c4:
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with c5:
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image_url = st.text_input("veya Garment URL")
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prompt = st.text_area("Özel prompt (boş → varsayılan)", value="", height=90)
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with
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st.info(f"Backend: {'Online' if ok else 'Offline'}", icon="🔌")
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with
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run_chain = st.button("Zincir (Foto → Video hazırlık)", use_container_width=True)
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# ================= Demo Preview (
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st.markdown("---")
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st.subheader("Demo preview (çalıştırmadan önce)")
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demo_try_b
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col.download_button("Video indir", data=vb, file_name="fitstudio_video.mp4", mime="video/mp4")
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col.image(Image.new("RGB", (PREVIEW_W, PREVIEW_H), BG), use_container_width=True)
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col.caption("—")
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show_image_card(dcol1, "Sample Input", demo_input_b, f"input{infer_ext(demo_input_b or b'')}")
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show_image_card(dcol2, "Sample Output", demo_try_b, f"tryon{infer_ext(demo_try_b or b'')}")
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show_video_card(dcol3, "Sample Video", demo_vid_b)
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# ================= Input preview (for Studio row) =================
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runtime_input_b = None
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if files:
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try: runtime_input_b = files[0].getvalue()
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except Exception: runtime_input_b = None
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elif image_url:
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def build_files_payload():
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payload = []
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if files:
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for f in files:
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payload.append(("files", (f.name, f.getvalue(), f.type or "image/jpeg")))
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return payload
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data = {
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"category": category,
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"gender": gender,
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"age_group": age_group,
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"frame_aspect": "9:16",
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"num_images": str(num_images),
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}
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if
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return data
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if
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if not ok:
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st.error("Backend erişilemiyor.")
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elif not (
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st.error("En az bir garment görseli girin.")
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else:
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try:
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form =
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with st.spinner("Çalışıyor…"):
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if
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else:
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out = post_chain(form,
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image_json = out.get("image_step") or out
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imgs_norm = (image_json.get("result") or {}).get("images_9_16") or []
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if not imgs_norm:
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raw = (image_json.get("result") or {}).get("images") or []
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imgs_norm = [{"url": i.get("url")} for i in raw if isinstance(i, dict) and i.get("url")]
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urls = [i.get("url") for i in imgs_norm if isinstance(i, dict) and i.get("url")]
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st.session_state["job_counter"] += 1
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st.session_state["results"] = {
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except requests.HTTPError as e:
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st.error(f"HTTP {e.response.status_code}")
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except Exception as e:
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st.error(f"Hata: {e}")
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# ================
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st.
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col_look.caption("—")
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# 3) Video kartı
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vurl = (st.session_state.get("results") or {}).get("video_url")
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vbytes = fetch_bytes(vurl) if vurl else None
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col_vid.markdown("**Video**")
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if vbytes:
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col_vid.video(vbytes, format="video/mp4", start_time=0)
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col_vid.download_button("Video indir", data=vbytes, file_name="fitstudio_video.mp4", mime="video/mp4")
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col_vid.video(demo_vid_b, format="video/mp4", start_time=0) if demo_vid_b else col_vid.image(Image.new("RGB",(PREVIEW_W,PREVIEW_H),BG), use_container_width=True)
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if not demo_vid_b: col_vid.caption("—")
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# ================= Video üretimi (opsiyonel) =================
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st.markdown("")
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cV1, cV2, cV3 = st.columns([1.1, 1.0, 1.2])
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with cV1:
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gen_video = st.checkbox("Bu sonuçtan video üret", value=False)
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with cV2:
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dur = st.selectbox("Video süresi", ["6","10"], index=(0 if st.session_state["duration"]=="6" else 1))
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with cV3:
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go_video = st.button("Video Oluştur", use_container_width=True)
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if gen_video and go_video:
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src = urls[0] if urls else None
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if not src:
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st.warning("Video için kaynak görsel yok.")
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else:
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else:
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st.
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with st.sidebar:
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st.caption(f"API_BASE: {API_BASE}")
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st.caption("Auth header: " + ("ON" if HF_TOKEN else "OFF"))
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if st.button("Ping /health"):
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try:
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r = requests.get(f"{API_BASE}/health", headers=HEADERS if HF_TOKEN else None, timeout=10)
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st.write(r.status_code)
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try:
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except Exception as e:
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st.error(f"Health error: {e}")
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if st.button("Clear cache"):
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st.cache_data.clear(); st.success("Cache cleared.")
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if st.button("Clear results"):
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st.session_state["results"] = None; st.success("Results cleared.")
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# streamlit_app.py — Fit Studio AI (Fashion & Apparel) v0.5 UI
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# Still Image (VTO) → (optional) Runway Video
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# Demo preview: same folder "input.jpg", "tryon.jpg", "fitstudio_video.mp4"
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# NOT: Tüm kutular 9:16 kadrajla aynı boyutta, video loop + autoplay + muted.
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import os, io, zipfile, base64, requests, streamlit as st
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from pathlib import Path
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from PIL import Image
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# ================= Env & API (robust) =================
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def _env(k):
|
| 12 |
return (os.getenv(k) or "").strip().strip("'\"")
|
| 13 |
|
| 14 |
API_BASE = (
|
| 15 |
_env("FITSTUDIO_API")
|
| 16 |
or _env("AI_LIGHTBOX_API")
|
| 17 |
or _env("LUXFIT_API")
|
| 18 |
+
).rstrip("/") if (
|
| 19 |
+
_env("FITSTUDIO_API") or _env("AI_LIGHTBOX_API") or _env("LUXFIT_API")
|
| 20 |
+
) else ""
|
| 21 |
|
| 22 |
HF_TOKEN = (_env("FITSTUDIO_TOKEN") or _env("AI_LIGHTBOX_TOKEN") or _env("LUXFIT_TOKEN"))
|
|
|
|
| 23 |
|
| 24 |
if not API_BASE:
|
| 25 |
+
st.error("API_BASE bulunamadı. Settings > Variables: FITSTUDIO_API (veya AI_LIGHTBOX_API / LUXFIT_API) tanımlayın.")
|
| 26 |
st.stop()
|
| 27 |
|
| 28 |
+
HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"} if HF_TOKEN else {}
|
| 29 |
+
|
| 30 |
+
# --- 9:16 kadraj önizleme boyutları (tüm kutular aynı) ---
|
| 31 |
+
PREVIEW_H = int(os.getenv("PREVIEW_H", "640")) # uzun kenar (yükseklik)
|
| 32 |
+
PREVIEW_W = int(round(PREVIEW_H * 9 / 16)) # 9:16 genişlik
|
| 33 |
+
BG_RGB = (255, 255, 255)
|
| 34 |
|
| 35 |
+
# ================= Global UI config =================
|
| 36 |
st.set_page_config(page_title="Fit Studio AI", layout="wide", page_icon="🧵")
|
| 37 |
+
|
| 38 |
+
# Basit CSS (tile yüzeyi, başlık boşluğu, video responsive 9:16)
|
| 39 |
+
st.markdown(
|
| 40 |
+
f"""
|
| 41 |
+
<style>
|
| 42 |
+
.fit-tile {{
|
| 43 |
+
background: #fafafa;
|
| 44 |
+
border: 1px solid #eee;
|
| 45 |
+
border-radius: 10px;
|
| 46 |
+
padding: 10px;
|
| 47 |
+
}}
|
| 48 |
+
.fit-title {{
|
| 49 |
+
font-weight: 600; margin-bottom: 6px;
|
| 50 |
+
}}
|
| 51 |
+
.fit-frame {{
|
| 52 |
+
width: 100%;
|
| 53 |
+
max-width: {PREVIEW_W}px;
|
| 54 |
+
aspect-ratio: 9 / 16;
|
| 55 |
+
display: block;
|
| 56 |
+
margin: 0 auto;
|
| 57 |
+
background: #fff;
|
| 58 |
+
border-radius: 8px;
|
| 59 |
+
overflow: hidden;
|
| 60 |
+
border: 1px solid #f0f0f0;
|
| 61 |
+
}}
|
| 62 |
+
.fit-caption {{
|
| 63 |
+
text-align: center;
|
| 64 |
+
color: #666;
|
| 65 |
+
font-size: 12px;
|
| 66 |
+
margin-top: 6px;
|
| 67 |
+
}}
|
| 68 |
+
.stDownloadButton > button {{
|
| 69 |
+
width: 100%;
|
| 70 |
+
}}
|
| 71 |
+
</style>
|
| 72 |
+
""",
|
| 73 |
+
unsafe_allow_html=True
|
| 74 |
+
)
|
| 75 |
+
|
| 76 |
+
# ================= Session State =================
|
| 77 |
+
defaults = {
|
| 78 |
+
"results": None,
|
| 79 |
+
"job_counter": 0,
|
| 80 |
+
"duration": "6",
|
| 81 |
+
}
|
| 82 |
+
for k, v in defaults.items():
|
| 83 |
+
if k not in st.session_state:
|
| 84 |
+
st.session_state[k] = v
|
| 85 |
|
| 86 |
# ================= Helpers =================
|
| 87 |
def _needs_auth(url: str) -> bool:
|
|
|
|
| 89 |
|
| 90 |
@st.cache_data(ttl=300, show_spinner=False)
|
| 91 |
def fetch_bytes(url_or_path: str | None):
|
| 92 |
+
"""
|
| 93 |
+
URL, outputs/ yolu veya mevcut klasörden dosya okur.
|
| 94 |
+
"""
|
| 95 |
if not url_or_path:
|
| 96 |
return None
|
| 97 |
try:
|
|
|
|
| 107 |
return None
|
| 108 |
|
| 109 |
@st.cache_data(ttl=300, show_spinner=False)
|
| 110 |
+
def img_size(b: bytes):
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 111 |
try:
|
| 112 |
+
im = Image.open(io.BytesIO(b))
|
| 113 |
+
return im.size
|
| 114 |
+
except Exception:
|
| 115 |
+
return None
|
| 116 |
+
|
| 117 |
+
def infer_ext(data: bytes) -> str:
|
| 118 |
+
try:
|
| 119 |
+
im = Image.open(io.BytesIO(data))
|
| 120 |
+
fmt = (im.format or "JPEG").lower()
|
| 121 |
return "." + {"jpeg":"jpg","jpg":"jpg","png":"png","webp":"webp"}.get(fmt, "jpg")
|
| 122 |
except Exception:
|
| 123 |
return ".jpg"
|
| 124 |
|
| 125 |
+
@st.cache_data(ttl=300, show_spinner=False)
|
| 126 |
+
def to_9_16_preview(img_bytes: bytes, w=PREVIEW_W, h=PREVIEW_H, bg_rgb=BG_RGB) -> bytes:
|
| 127 |
+
"""
|
| 128 |
+
Görseli 9:16 önizleme tuvaline sığdır (letterbox/pillarbox), PNG döndür.
|
| 129 |
+
"""
|
| 130 |
+
im = Image.open(io.BytesIO(img_bytes)).convert("RGBA")
|
| 131 |
+
iw, ih = im.size
|
| 132 |
+
scale = min(w / iw, h / ih)
|
| 133 |
+
nw, nh = max(1, int(iw * scale)), max(1, int(ih * scale))
|
| 134 |
+
im_resized = im.resize((nw, nh), Image.LANCZOS)
|
| 135 |
+
canvas = Image.new("RGBA", (w, h), (*bg_rgb, 255))
|
| 136 |
+
off = ((w - nw)//2, (h - nh)//2)
|
| 137 |
+
canvas.paste(im_resized, off, im_resized)
|
| 138 |
+
buf = io.BytesIO()
|
| 139 |
+
canvas.save(buf, format="PNG")
|
| 140 |
+
return buf.getvalue()
|
| 141 |
+
|
| 142 |
+
def b64(data: bytes) -> str:
|
| 143 |
+
return base64.b64encode(data).decode("ascii")
|
| 144 |
+
|
| 145 |
+
def show_image_tile(col, title: str, source: str | bytes | None, filename_stub="image", key=""):
|
| 146 |
+
with col:
|
| 147 |
+
st.markdown('<div class="fit-tile">', unsafe_allow_html=True)
|
| 148 |
+
st.markdown(f'<div class="fit-title">{title}</div>', unsafe_allow_html=True)
|
| 149 |
+
|
| 150 |
+
if source is None:
|
| 151 |
+
# boş kutu
|
| 152 |
+
ph = Image.new("RGBA", (PREVIEW_W, PREVIEW_H), (255,255,255,255))
|
| 153 |
+
buf = io.BytesIO(); ph.save(buf, "PNG")
|
| 154 |
+
st.image(buf.getvalue(), use_container_width=False, width=PREVIEW_W)
|
| 155 |
+
st.markdown('<div class="fit-caption">—</div>', unsafe_allow_html=True)
|
| 156 |
+
st.markdown('</div>', unsafe_allow_html=True)
|
| 157 |
+
return None
|
| 158 |
+
|
| 159 |
+
b = source if isinstance(source, (bytes, bytearray)) else fetch_bytes(source)
|
| 160 |
+
if not b:
|
| 161 |
+
ph = Image.new("RGBA", (PREVIEW_W, PREVIEW_H), (255,255,255,255))
|
| 162 |
+
buf = io.BytesIO(); ph.save(buf, "PNG")
|
| 163 |
+
st.image(buf.getvalue(), use_container_width=False, width=PREVIEW_W)
|
| 164 |
+
st.markdown('<div class="fit-caption">Yüklenemedi</div>', unsafe_allow_html=True)
|
| 165 |
+
st.markdown('</div>', unsafe_allow_html=True)
|
| 166 |
+
return None
|
| 167 |
+
|
| 168 |
+
pv = to_9_16_preview(b)
|
| 169 |
+
st.image(pv, use_container_width=False, width=PREVIEW_W)
|
| 170 |
+
|
| 171 |
+
sz = img_size(b)
|
| 172 |
+
if sz:
|
| 173 |
+
st.markdown(f'<div class="fit-caption">{sz[0]}×{sz[1]} px</div>', unsafe_allow_html=True)
|
| 174 |
+
|
| 175 |
+
ext = infer_ext(b)
|
| 176 |
+
mime = "image/jpeg" if ext in [".jpg",".jpeg"] else ("image/png" if ext==".png" else "image/webp")
|
| 177 |
+
st.download_button("İndir (tam kalite)", data=b, file_name=f"{filename_stub}{ext}", mime=mime, key=f"{key}_img_dl")
|
| 178 |
+
st.markdown('</div>', unsafe_allow_html=True)
|
| 179 |
+
return b
|
| 180 |
+
|
| 181 |
+
def show_video_tile(col, title: str, source: str | bytes | None, key=""):
|
| 182 |
+
with col:
|
| 183 |
+
st.markdown('<div class="fit-tile">', unsafe_allow_html=True)
|
| 184 |
+
st.markdown(f'<div class="fit-title">{title}</div>', unsafe_allow_html=True)
|
| 185 |
+
|
| 186 |
+
if source is None:
|
| 187 |
+
# boş 9:16 kutu
|
| 188 |
+
st.markdown(f'<div class="fit-frame"></div>', unsafe_allow_html=True)
|
| 189 |
+
st.markdown('<div class="fit-caption">—</div>', unsafe_allow_html=True)
|
| 190 |
+
st.markdown('</div>', unsafe_allow_html=True)
|
| 191 |
+
return None
|
| 192 |
+
|
| 193 |
+
# Video bytes (tercihen bytes ile loop için data URI)
|
| 194 |
+
vb = source if isinstance(source, (bytes, bytearray)) else fetch_bytes(source)
|
| 195 |
+
if not vb:
|
| 196 |
+
st.markdown(f'<div class="fit-frame"></div>', unsafe_allow_html=True)
|
| 197 |
+
st.markdown('<div class="fit-caption">Video yüklenemedi</div>', unsafe_allow_html=True)
|
| 198 |
+
st.markdown('</div>', unsafe_allow_html=True)
|
| 199 |
+
return None
|
| 200 |
+
|
| 201 |
+
data_uri = f"data:video/mp4;base64,{b64(vb)}"
|
| 202 |
+
html = f"""
|
| 203 |
+
<video class="fit-frame" src="{data_uri}" controls autoplay loop muted playsinline></video>
|
| 204 |
+
"""
|
| 205 |
+
st.markdown(html, unsafe_allow_html=True)
|
| 206 |
+
st.download_button("Video indir (MP4)", data=vb, file_name="fitstudio_video.mp4", mime="video/mp4", key=f"{key}_vid_dl")
|
| 207 |
+
st.markdown('</div>', unsafe_allow_html=True)
|
| 208 |
+
return vb
|
| 209 |
+
|
| 210 |
+
def make_zip(named_bytes: list[tuple[str, bytes]]) -> bytes:
|
| 211 |
+
buf = io.BytesIO()
|
| 212 |
+
with zipfile.ZipFile(buf, "w", compression=zipfile.ZIP_DEFLATED) as z:
|
| 213 |
+
for fname, b in named_bytes:
|
| 214 |
+
if b:
|
| 215 |
+
z.writestr(fname, b)
|
| 216 |
+
buf.seek(0)
|
| 217 |
+
return buf.read()
|
| 218 |
+
|
| 219 |
def backend_ok() -> bool:
|
| 220 |
try:
|
| 221 |
r = requests.get(f"{API_BASE}/health", headers=HEADERS if HF_TOKEN else None, timeout=10)
|
| 222 |
+
r.raise_for_status()
|
| 223 |
+
return True
|
| 224 |
except Exception:
|
| 225 |
return False
|
| 226 |
|
| 227 |
def post_image_edit(data: dict, files_payload):
|
| 228 |
r = requests.post(f"{API_BASE}/v1/image/edit", data=data, files=files_payload or None,
|
| 229 |
headers=HEADERS if HF_TOKEN else None, timeout=600)
|
| 230 |
+
r.raise_for_status()
|
| 231 |
+
return r.json()
|
| 232 |
|
| 233 |
def post_chain(data: dict, files_payload):
|
| 234 |
+
payload = {**data, "to_video": "false"} # video UI'da ayrı
|
| 235 |
r = requests.post(f"{API_BASE}/v1/tryon/chain", data=payload, files=files_payload or None,
|
| 236 |
headers=HEADERS if HF_TOKEN else None, timeout=600)
|
| 237 |
+
r.raise_for_status()
|
| 238 |
+
return r.json()
|
| 239 |
+
|
| 240 |
+
def post_video(image_url: str, duration="6", resolution="768P", prompt_optimizer=True,
|
| 241 |
+
gender="auto", age_group="auto", frame_aspect="9:16"):
|
| 242 |
+
payload = {
|
| 243 |
+
"image_url": image_url,
|
| 244 |
+
"duration": duration,
|
| 245 |
+
"resolution": resolution,
|
| 246 |
+
"prompt_optimizer": "true" if prompt_optimizer else "false",
|
| 247 |
+
"gender": gender,
|
| 248 |
+
"age_group": age_group,
|
| 249 |
+
"frame_aspect": frame_aspect,
|
| 250 |
+
}
|
| 251 |
+
r = requests.post(f"{API_BASE}/v1/video/from-image", data=payload,
|
| 252 |
headers=HEADERS if HF_TOKEN else None, timeout=600)
|
| 253 |
+
r.raise_for_status()
|
| 254 |
+
return r.json()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 255 |
|
| 256 |
+
# ================= Header =================
|
| 257 |
st.title("🧵 Fit Studio AI")
|
| 258 |
+
st.caption("Fashion & Apparel — 9:16 stills (VTO) → (optional) runway video")
|
| 259 |
|
| 260 |
ok = backend_ok()
|
| 261 |
+
c0, c1, c2, c3, c4, c5 = st.columns([1.1, 1.7, 1.7, 1.2, 1.8, 1.8])
|
| 262 |
+
|
| 263 |
with c0:
|
| 264 |
+
category = st.selectbox("Kategori", ["general","underwear"], index=0, key="category")
|
| 265 |
with c1:
|
| 266 |
+
gender = st.selectbox("Cinsiyet", ["auto","female","male","unisex"], index=0, key="gender")
|
| 267 |
with c2:
|
| 268 |
+
age_group = st.selectbox("Yaş grubu", ["auto","teen","young_adult","adult","mature"], index=0, key="age_group")
|
| 269 |
with c3:
|
| 270 |
+
num_images = st.selectbox("Çıktı adedi", [1,2,3,4], index=0, key="num_images")
|
| 271 |
with c4:
|
| 272 |
+
file_list = st.file_uploader("Garment image (upload)", type=["jpg","jpeg","png","webp"], accept_multiple_files=True, key="file_upl")
|
| 273 |
with c5:
|
| 274 |
+
image_url = st.text_input("veya Garment URL", key="image_url")
|
|
|
|
|
|
|
| 275 |
|
| 276 |
+
row_btn1, row_btn2 = st.columns([1,1])
|
| 277 |
+
with row_btn1:
|
| 278 |
st.info(f"Backend: {'Online' if ok else 'Offline'}", icon="🔌")
|
| 279 |
+
with row_btn2:
|
| 280 |
+
run_image = st.button("Çalıştır (Sadece Foto)", type="primary", use_container_width=True, key="run_img_btn")
|
| 281 |
+
run_chain = st.button("Zincir (Foto → Video hazırlık)", use_container_width=True, key="run_chain_btn")
|
| 282 |
|
| 283 |
+
# ================= Demo Preview: 3 sütun (hepsi 9:16) =================
|
| 284 |
st.markdown("---")
|
| 285 |
+
st.subheader("Demo preview (çalıştırmadan önce örnek) — tüm kutular 9:16")
|
| 286 |
+
|
| 287 |
+
dp_in, dp_out, dp_vid = st.columns(3)
|
| 288 |
+
demo_in_b = fetch_bytes("input.jpg")
|
| 289 |
+
demo_try_b = fetch_bytes("tryon.jpg")
|
| 290 |
+
demo_v_b = fetch_bytes("fitstudio_video.mp4")
|
| 291 |
+
|
| 292 |
+
show_image_tile(dp_in, "Input", demo_in_b, filename_stub="input", key="demo_in")
|
| 293 |
+
show_image_tile(dp_out, "Sample Output", demo_try_b, filename_stub="tryon", key="demo_out")
|
| 294 |
+
show_video_tile(dp_vid, "Sample Video", demo_v_b, key="demo_vid") # loop + autoplay
|
| 295 |
+
|
| 296 |
+
# ================= Girdi Önizleme (yan yana 9:16) =================
|
| 297 |
+
st.markdown("---")
|
| 298 |
+
g1, g2, g3, g4 = st.columns(4)
|
| 299 |
+
|
| 300 |
+
input_preview = None
|
| 301 |
+
if file_list:
|
| 302 |
+
try:
|
| 303 |
+
input_preview = file_list[0].getvalue()
|
| 304 |
+
except Exception:
|
| 305 |
+
input_preview = None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 306 |
elif image_url:
|
| 307 |
+
input_preview = fetch_bytes(image_url)
|
| 308 |
|
| 309 |
+
show_image_tile(g1, "Input", input_preview, filename_stub="input_current", key="cur_in")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 310 |
|
| 311 |
+
# ================ Çalıştır ================
|
| 312 |
+
def _build_files_payload():
|
| 313 |
+
files_payload = []
|
| 314 |
+
if file_list:
|
| 315 |
+
for f in file_list:
|
| 316 |
+
files_payload.append(("files", (f.name, f.getvalue(), f.type or "image/jpeg")))
|
| 317 |
+
return files_payload
|
| 318 |
+
|
| 319 |
+
def _common_form_data():
|
| 320 |
data = {
|
| 321 |
+
"category": st.session_state["category"],
|
| 322 |
+
"gender": st.session_state["gender"],
|
| 323 |
+
"age_group": st.session_state["age_group"],
|
| 324 |
"frame_aspect": "9:16",
|
| 325 |
+
"num_images": str(st.session_state["num_images"]),
|
| 326 |
}
|
| 327 |
+
# Opsiyonel özel prompt alanı (kullanıcı isterse açsın)
|
| 328 |
+
if "custom_prompt" in st.session_state and st.session_state["custom_prompt"].strip():
|
| 329 |
+
data["prompt"] = st.session_state["custom_prompt"].strip()
|
| 330 |
+
if image_url:
|
| 331 |
+
data["image_urls"] = image_url.strip()
|
| 332 |
return data
|
| 333 |
|
| 334 |
+
if run_image or run_chain:
|
| 335 |
if not ok:
|
| 336 |
+
st.error("Backend erişilemiyor. API_BASE / TOKEN kontrol edin.")
|
| 337 |
+
elif not (file_list or image_url):
|
| 338 |
+
st.error("En az bir garment görseli girin (upload veya URL).")
|
| 339 |
else:
|
| 340 |
try:
|
| 341 |
+
files_payload = _build_files_payload()
|
| 342 |
+
form = _common_form_data()
|
| 343 |
+
|
| 344 |
with st.spinner("Çalışıyor…"):
|
| 345 |
+
if run_image:
|
| 346 |
+
out = post_image_edit(form, files_payload)
|
| 347 |
+
image_json = out
|
| 348 |
else:
|
| 349 |
+
out = post_chain(form, files_payload) # to_video=false
|
| 350 |
image_json = out.get("image_step") or out
|
| 351 |
|
| 352 |
+
# 9:16 normalize edilmiş seti kullan
|
| 353 |
imgs_norm = (image_json.get("result") or {}).get("images_9_16") or []
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| 354 |
urls = [i.get("url") for i in imgs_norm if isinstance(i, dict) and i.get("url")]
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| 355 |
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| 356 |
st.session_state["job_counter"] += 1
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| 357 |
+
st.session_state["results"] = {
|
| 358 |
+
"job_id": (image_json.get("job_id") or out.get("job_id")),
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| 359 |
+
"schema_version": (image_json.get("schema_version") or out.get("schema_version")),
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| 360 |
+
"image_urls": urls,
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| 361 |
+
"video_url": None,
|
| 362 |
+
}
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| 363 |
+
|
| 364 |
except requests.HTTPError as e:
|
| 365 |
st.error(f"HTTP {e.response.status_code}")
|
| 366 |
except Exception as e:
|
| 367 |
st.error(f"Hata: {e}")
|
| 368 |
|
| 369 |
+
# ================ Sonuçları Satırda Yan Yana (hepsi 9:16) ================
|
| 370 |
+
res = st.session_state.get("results") or {}
|
| 371 |
+
if res:
|
| 372 |
+
key_prefix = f"job{st.session_state['job_counter']}"
|
| 373 |
+
img_urls = res.get("image_urls") or []
|
| 374 |
+
video_url = res.get("video_url")
|
| 375 |
+
|
| 376 |
+
# 1. Satır: 3 görsel + 1 video sütunu (aynı ebat, 9:16)
|
| 377 |
+
c1, c2, c3, c4 = st.columns(4)
|
| 378 |
+
named = []
|
| 379 |
+
|
| 380 |
+
for idx, col in enumerate([c1, c2, c3]):
|
| 381 |
+
if idx < len(img_urls):
|
| 382 |
+
u = img_urls[idx]
|
| 383 |
+
title = "Look" if idx == 0 else f"Look #{idx+1}"
|
| 384 |
+
b = show_image_tile(col, title, u, filename_stub=f"look_{idx+1}", key=f"{key_prefix}_{idx}")
|
| 385 |
+
if b:
|
| 386 |
+
named.append((f"look_{idx+1}{infer_ext(b)}", b))
|
| 387 |
+
else:
|
| 388 |
+
show_image_tile(col, f"Look #{idx+1}", None, key=f"{key_prefix}_{idx}_empty")
|
| 389 |
+
|
| 390 |
+
vbytes = None
|
| 391 |
+
if video_url:
|
| 392 |
+
vbytes = show_video_tile(c4, "Video", video_url, key=key_prefix)
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 393 |
else:
|
| 394 |
+
show_video_tile(c4, "Video", None, key=f"{key_prefix}_novid")
|
| 395 |
+
|
| 396 |
+
# 2. Satır: Video üretim kontrolleri
|
| 397 |
+
st.markdown("---")
|
| 398 |
+
colv1, colv2, colv3 = st.columns([1.1, 1.0, 1.2])
|
| 399 |
+
with colv1:
|
| 400 |
+
gen_video = st.checkbox("Bu sonuçtan video üret", value=False, key="video_toggle")
|
| 401 |
+
with colv2:
|
| 402 |
+
st.selectbox("Video süresi", ["6","10"], index=(0 if st.session_state["duration"]=="6" else 1), key="duration_select")
|
| 403 |
+
with colv3:
|
| 404 |
+
go_video = st.button("Video Oluştur", use_container_width=True, key="video_btn")
|
| 405 |
+
|
| 406 |
+
if gen_video and go_video:
|
| 407 |
+
src_for_video = img_urls[0] if img_urls else None
|
| 408 |
+
if not src_for_video:
|
| 409 |
+
st.warning("Video için kaynak görsel yok.")
|
| 410 |
else:
|
| 411 |
+
with st.spinner("Video üretiliyor…"):
|
| 412 |
+
v = post_video(
|
| 413 |
+
src_for_video,
|
| 414 |
+
duration=st.session_state.get("duration_select","6"),
|
| 415 |
+
resolution="768P",
|
| 416 |
+
prompt_optimizer=True,
|
| 417 |
+
gender=st.session_state["gender"],
|
| 418 |
+
age_group=st.session_state["age_group"],
|
| 419 |
+
frame_aspect="9:16",
|
| 420 |
+
)
|
| 421 |
+
vurl = (v.get("result") or {}).get("video", {}).get("url")
|
| 422 |
+
if vurl:
|
| 423 |
+
st.session_state["results"]["video_url"] = vurl
|
| 424 |
+
video_url = vurl
|
| 425 |
+
vbytes = show_video_tile(c4, "Video", video_url, key=key_prefix)
|
| 426 |
+
else:
|
| 427 |
+
st.info("Video URL gelmedi.")
|
| 428 |
+
|
| 429 |
+
# ZIP indir
|
| 430 |
+
if named or vbytes:
|
| 431 |
+
if vbytes:
|
| 432 |
+
named.append(("video.mp4", vbytes))
|
| 433 |
+
zip_bytes = make_zip(named)
|
| 434 |
+
st.download_button(
|
| 435 |
+
"Tümünü indir (ZIP)",
|
| 436 |
+
data=zip_bytes,
|
| 437 |
+
file_name="fitstudio_outputs.zip",
|
| 438 |
+
mime="application/zip",
|
| 439 |
+
key=f"{key_prefix}_zip_dl"
|
| 440 |
+
)
|
| 441 |
+
|
| 442 |
+
# ================= Optional: Özel prompt alanı (isteğe bağlı) =================
|
| 443 |
+
with st.expander("Özel prompt (isteğe bağlı)"):
|
| 444 |
+
st.text_area("Prompt", key="custom_prompt", height=120, help="Boş bırakabilirsiniz; backend cinsiyet/yaş ve 9:16 kompozisyonu kendisi ayarlıyor.")
|
| 445 |
+
|
| 446 |
+
# ================= Sidebar (teşhis) =================
|
| 447 |
with st.sidebar:
|
| 448 |
st.caption(f"API_BASE: {API_BASE}")
|
| 449 |
st.caption("Auth header: " + ("ON" if HF_TOKEN else "OFF"))
|
| 450 |
+
st.caption(f"Preview frame: {PREVIEW_W}×{PREVIEW_H} (9:16)")
|
| 451 |
+
|
| 452 |
if st.button("Ping /health"):
|
| 453 |
try:
|
| 454 |
r = requests.get(f"{API_BASE}/health", headers=HEADERS if HF_TOKEN else None, timeout=10)
|
| 455 |
st.write(r.status_code)
|
| 456 |
+
try:
|
| 457 |
+
st.json(r.json())
|
| 458 |
+
except Exception:
|
| 459 |
+
st.code((r.text or "")[:1000])
|
| 460 |
except Exception as e:
|
| 461 |
st.error(f"Health error: {e}")
|
| 462 |
+
|
| 463 |
if st.button("Clear cache"):
|
| 464 |
st.cache_data.clear(); st.success("Cache cleared.")
|
| 465 |
if st.button("Clear results"):
|
| 466 |
+
st.session_state["results"] = None; st.success("Results cleared.")
|