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Upload streamlit_app.py
Browse files- streamlit_app.py +167 -237
streamlit_app.py
CHANGED
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# streamlit_app.py — Fit Studio AI (Fashion & Apparel) v0.5 UI
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#
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# Demo
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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
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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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_env("FITSTUDIO_API") or _env("AI_LIGHTBOX_API") or _env("LUXFIT_API")
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) else ""
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HF_TOKEN =
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if not API_BASE:
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st.error("API_BASE bulunamadı. Settings > Variables: FITSTUDIO_API (veya AI_LIGHTBOX_API / LUXFIT_API) tanımlayın.")
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HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"} if HF_TOKEN else {}
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#
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# ================= Global UI config =================
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st.set_page_config(page_title="Fit Studio AI", layout="wide", page_icon="🧵")
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# Basit CSS (tile yüzeyi, başlık boşluğu, video responsive 9:16)
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st.markdown(
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f"""
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<style>
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.fit-tile {{
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background: #fafafa;
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border: 1px solid #eee;
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border-radius: 10px;
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padding: 10px;
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}}
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.fit-title {{
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font-weight: 600; margin-bottom: 6px;
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}}
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.fit-frame {{
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width: 100%;
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max-width: {PREVIEW_W}px;
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aspect-ratio: 9 / 16;
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display: block;
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margin: 0 auto;
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background: #fff;
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border-radius: 8px;
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overflow: hidden;
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border: 1px solid #f0f0f0;
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}}
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.fit-caption {{
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text-align: center;
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color: #666;
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font-size: 12px;
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margin-top: 6px;
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}}
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.stDownloadButton > button {{
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width: 100%;
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}}
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</style>
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""",
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unsafe_allow_html=True
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)
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# ================= Session State =================
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defaults = {
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"results": None,
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"job_counter": 0,
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"duration": "6",
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}
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for k, v in defaults.items():
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if k not in st.session_state:
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st.session_state[k] = v
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# ================= Helpers =================
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def _needs_auth(url: str) -> bool:
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return
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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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"""
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URL, outputs/ yolu veya mevcut klasörden dosya okur.
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"""
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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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try:
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im = Image.open(io.BytesIO(b))
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return im.size
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except Exception:
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return None
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except Exception:
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return ".jpg"
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"""
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st.markdown('<div class="fit-tile">', unsafe_allow_html=True)
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st.markdown(f'<div class="fit-title">{title}</div>', unsafe_allow_html=True)
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if source is None:
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# boş kutu
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ph = Image.new("RGBA", (PREVIEW_W, PREVIEW_H), (255,255,255,255))
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buf = io.BytesIO(); ph.save(buf, "PNG")
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st.image(buf.getvalue(), use_container_width=False, width=PREVIEW_W)
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st.markdown('<div class="fit-caption">—</div>', unsafe_allow_html=True)
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st.markdown('</div>', unsafe_allow_html=True)
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return None
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b = source if isinstance(source, (bytes, bytearray)) else fetch_bytes(source)
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if not b:
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ph = Image.new("RGBA", (PREVIEW_W, PREVIEW_H), (255,255,255,255))
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buf = io.BytesIO(); ph.save(buf, "PNG")
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st.image(buf.getvalue(), use_container_width=False, width=PREVIEW_W)
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st.markdown('<div class="fit-caption">Yüklenemedi</div>', unsafe_allow_html=True)
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st.markdown('</div>', unsafe_allow_html=True)
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return None
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pv = to_9_16_preview(b)
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st.image(pv, use_container_width=False, width=PREVIEW_W)
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sz = img_size(b)
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if sz:
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st.markdown(f'<div class="fit-caption">{sz[0]}×{sz[1]} px</div>', unsafe_allow_html=True)
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ext = infer_ext(b)
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mime = "image/jpeg" if ext in [".jpg",".jpeg"] else ("image/png" if ext==".png" else "image/webp")
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st.download_button("İndir (tam kalite)", data=b, file_name=f"{filename_stub}{ext}", mime=mime, key=f"{key}_img_dl")
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st.markdown('</div>', unsafe_allow_html=True)
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return b
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def show_video_tile(col, title: str, source: str | bytes | None, key=""):
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with col:
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st.markdown('<div class="fit-tile">', unsafe_allow_html=True)
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st.markdown(f'<div class="fit-title">{title}</div>', unsafe_allow_html=True)
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if source is None:
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# boş 9:16 kutu
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st.markdown(f'<div class="fit-frame"></div>', unsafe_allow_html=True)
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st.markdown('<div class="fit-caption">—</div>', unsafe_allow_html=True)
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st.markdown('</div>', unsafe_allow_html=True)
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return None
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# Video bytes (tercihen bytes ile loop için data URI)
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vb = source if isinstance(source, (bytes, bytearray)) else fetch_bytes(source)
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if not vb:
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st.markdown(f'<div class="fit-frame"></div>', unsafe_allow_html=True)
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st.markdown('<div class="fit-caption">Video yüklenemedi</div>', unsafe_allow_html=True)
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st.markdown('</div>', unsafe_allow_html=True)
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return None
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data_uri = f"data:video/mp4;base64,{b64(vb)}"
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html = f"""
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<video class="fit-frame" src="{data_uri}" controls autoplay loop muted playsinline></video>
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"""
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st.markdown(html, unsafe_allow_html=True)
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st.download_button("Video indir (MP4)", data=vb, file_name="fitstudio_video.mp4", mime="video/mp4", key=f"{key}_vid_dl")
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st.markdown('</div>', unsafe_allow_html=True)
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return vb
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def make_zip(named_bytes: 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 fname, b in named_bytes:
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if b:
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buf.seek(0)
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return buf.read()
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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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return True
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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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return r.json()
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def post_chain(data: dict, files_payload):
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payload = {**data, "to_video": "false"} # video
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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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return r.json()
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def post_video(image_url: str, duration="6", resolution="768P", prompt_optimizer=True,
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gender="auto", age_group="auto", frame_aspect="9:16"):
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payload = {
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"image_url": image_url,
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"duration": duration,
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"resolution": resolution,
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"prompt_optimizer": "true" if prompt_optimizer else "false",
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"gender": gender,
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"age_group": age_group,
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"frame_aspect": frame_aspect,
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}
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r = requests.post(f"{API_BASE}/v1/video/from-image", data=payload,
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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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return r.json()
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# =================
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st.title("🧵 Fit Studio AI")
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st.caption("Fashion & Apparel — 9:16 stills (VTO) →
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ok = backend_ok()
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c0,
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with c0:
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category = st.selectbox("Kategori", ["general","underwear"], index=0, key="category")
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gender = st.selectbox("Cinsiyet", ["auto","female","male","unisex"], index=0, key="gender")
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age_group = st.selectbox("Yaş grubu", ["auto","teen","young_adult","adult","mature"], index=0, key="age_group")
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with c3:
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num_images = st.selectbox("Çıktı adedi", [1,2,3,4], index=0, key="num_images")
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with c4:
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file_list = st.file_uploader("Garment image (upload)", type=["jpg","jpeg","png","webp"], accept_multiple_files=True, key="file_upl")
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with c5:
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image_url = st.text_input("veya Garment URL", key="image_url")
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st.
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run_image = st.button("Çalıştır (Sadece Foto)", type="primary", use_container_width=True, key="run_img_btn")
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run_chain = st.button("Zincir (Foto → Video hazırlık)", use_container_width=True, key="run_chain_btn")
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# ================= Demo
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st.markdown("---")
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st.subheader("Demo preview")
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dp_in,
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demo_in_b = fetch_bytes("input.jpg")
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demo_try_b = fetch_bytes("tryon.jpg")
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demo_v_b = fetch_bytes("fitstudio_video.mp4")
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show_image_tile(
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show_video_tile(dp_vid, "Sample Video", demo_v_b, key="demo_vid") # loop + autoplay
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g1, g2, g3, g4 = st.columns(4)
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input_preview = None
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if file_list:
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try:
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except Exception:
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input_preview = None
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elif image_url:
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input_preview = fetch_bytes(image_url)
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show_image_tile(g1, "Input", input_preview, filename_stub="
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# ================ Çalıştır ================
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def _build_files_payload():
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"frame_aspect": "9:16",
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"num_images": str(st.session_state["num_images"]),
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}
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if "custom_prompt" in st.session_state and st.session_state["custom_prompt"].strip():
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data["prompt"] = st.session_state["custom_prompt"].strip()
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if image_url:
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data["image_urls"] = image_url.strip()
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try:
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files_payload = _build_files_payload()
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form = _common_form_data()
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with st.spinner("Çalışıyor…"):
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if run_image:
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out = post_image_edit(form, files_payload)
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out = post_chain(form, files_payload) # to_video=false
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image_json = out.get("image_step") or out
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#
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st.session_state["job_counter"] += 1
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st.session_state["results"] = {
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except Exception as e:
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st.error(f"Hata: {e}")
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# ================ Sonuçları
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res = st.session_state.get("results") or {}
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if res:
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key_prefix = f"job{st.session_state['job_counter']}"
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img_urls = res.get("image_urls") or []
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video_url = res.get("video_url")
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c1, c2, c3, c4 = st.columns(
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named = []
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for idx, col in enumerate([c1, c2, c3]):
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if idx < len(img_urls):
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u = img_urls[idx]
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title = "Look" if idx == 0 else f"Look #{idx+1}"
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b = show_image_tile(col, title, u, filename_stub=f"look_{idx+1}",
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if b:
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named.append((f"look_{idx+1}{infer_ext(b)}", b))
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else:
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show_image_tile(col, f"Look #{idx+1}", None,
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vbytes = None
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if video_url:
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vbytes = show_video_tile(c4, "Video", video_url,
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else:
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#
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st.markdown("---")
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colv1, colv2, colv3 = st.columns([1.1, 1.0, 1.2])
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with colv1:
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duration=st.session_state.get("duration_select","6"),
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resolution="768P",
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prompt_optimizer=True,
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gender=st.session_state
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age_group=st.session_state
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frame_aspect="9:16",
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| 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,
|
| 426 |
else:
|
| 427 |
st.info("Video URL gelmedi.")
|
| 428 |
|
|
@@ -431,32 +361,32 @@ if res:
|
|
| 431 |
if vbytes:
|
| 432 |
named.append(("video.mp4", vbytes))
|
| 433 |
zip_bytes = make_zip(named)
|
| 434 |
-
st.download_button(
|
| 435 |
-
|
| 436 |
-
|
| 437 |
-
|
| 438 |
-
|
| 439 |
-
|
| 440 |
-
|
| 441 |
-
|
| 442 |
-
|
| 443 |
-
|
| 444 |
-
|
| 445 |
-
|
| 446 |
-
|
|
|
|
|
|
|
|
|
|
| 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 |
-
|
| 458 |
-
except Exception:
|
| 459 |
-
st.code((r.text or "")[:1000])
|
| 460 |
except Exception as e:
|
| 461 |
st.error(f"Health error: {e}")
|
| 462 |
|
|
|
|
| 1 |
# streamlit_app.py — Fit Studio AI (Fashion & Apparel) v0.5 UI
|
| 2 |
+
# 9:16 uniform tiles, gender & age controls, looping sample/result videos
|
| 3 |
+
# Demo: put these next to this file → input.jpg, tryon.jpg, fitstudio_video.mp4
|
|
|
|
| 4 |
|
| 5 |
import os, io, zipfile, base64, requests, streamlit as st
|
| 6 |
from pathlib import Path
|
| 7 |
from PIL import Image
|
| 8 |
|
| 9 |
+
# ================= Env & API =================
|
| 10 |
+
def _env(k): return (os.getenv(k) or "").strip().strip("'\"")
|
|
|
|
| 11 |
|
| 12 |
API_BASE = (
|
| 13 |
_env("FITSTUDIO_API")
|
|
|
|
| 17 |
_env("FITSTUDIO_API") or _env("AI_LIGHTBOX_API") or _env("LUXFIT_API")
|
| 18 |
) else ""
|
| 19 |
|
| 20 |
+
HF_TOKEN = _env("FITSTUDIO_TOKEN") or _env("AI_LIGHTBOX_TOKEN") or _env("LUXFIT_TOKEN")
|
| 21 |
|
| 22 |
if not API_BASE:
|
| 23 |
st.error("API_BASE bulunamadı. Settings > Variables: FITSTUDIO_API (veya AI_LIGHTBOX_API / LUXFIT_API) tanımlayın.")
|
|
|
|
| 25 |
|
| 26 |
HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"} if HF_TOKEN else {}
|
| 27 |
|
| 28 |
+
# === Tile geometry (strict 9:16) ===
|
| 29 |
+
TILE_H = int(os.getenv("TILE_H", "640")) # all tiles same height
|
| 30 |
+
TILE_W = max(180, int(round(TILE_H * 9 / 16))) # width derived from 9:16
|
| 31 |
+
PREVIEW_BG = (255, 255, 255)
|
|
|
|
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|
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|
|
| 32 |
|
| 33 |
# ================= Session State =================
|
| 34 |
+
defaults = {"results": None, "job_counter": 0, "duration": "6"}
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
for k, v in defaults.items():
|
| 36 |
if k not in st.session_state:
|
| 37 |
st.session_state[k] = v
|
| 38 |
|
| 39 |
# ================= Helpers =================
|
| 40 |
def _needs_auth(url: str) -> bool:
|
| 41 |
+
return url.startswith(API_BASE) or url.startswith("outputs/")
|
| 42 |
|
| 43 |
@st.cache_data(ttl=300, show_spinner=False)
|
| 44 |
def fetch_bytes(url_or_path: str | None):
|
| 45 |
+
"""Reads local file (same folder) or fetches URL."""
|
|
|
|
|
|
|
| 46 |
if not url_or_path:
|
| 47 |
return None
|
| 48 |
try:
|
|
|
|
| 58 |
return None
|
| 59 |
|
| 60 |
@st.cache_data(ttl=300, show_spinner=False)
|
| 61 |
+
def image_to_9_16_canvas(img_bytes: bytes, w: int = TILE_W, h: int = TILE_H, bg_rgb=PREVIEW_BG) -> bytes:
|
| 62 |
+
"""Letterbox/pillarbox to exact 9:16 tile size, no crop."""
|
| 63 |
+
im = Image.open(io.BytesIO(img_bytes)).convert("RGBA")
|
| 64 |
+
iw, ih = im.size
|
| 65 |
+
scale = min(w / iw, h / ih)
|
| 66 |
+
nw, nh = max(1, int(iw*scale)), max(1, int(ih*scale))
|
| 67 |
+
im_resized = im.resize((nw, nh), Image.LANCZOS)
|
| 68 |
+
canvas = Image.new("RGBA", (w, h), (*bg_rgb, 255))
|
| 69 |
+
off = ((w - nw)//2, (h - nh)//2)
|
| 70 |
+
canvas.paste(im_resized, off, im_resized)
|
| 71 |
+
out = io.BytesIO(); canvas.save(out, format="PNG"); return out.getvalue()
|
| 72 |
+
|
| 73 |
+
@st.cache_data(ttl=300, show_spinner=False)
|
| 74 |
+
def image_size_from_bytes(b: bytes):
|
| 75 |
try:
|
| 76 |
+
im = Image.open(io.BytesIO(b)); return im.size
|
|
|
|
| 77 |
except Exception:
|
| 78 |
return None
|
| 79 |
|
|
|
|
| 85 |
except Exception:
|
| 86 |
return ".jpg"
|
| 87 |
|
| 88 |
+
def show_image_tile(col, title: str, src: str|bytes|None, filename_stub="image", key_prefix=""):
|
| 89 |
+
col.markdown(f"#### {title}")
|
| 90 |
+
if not src:
|
| 91 |
+
placeholder = Image.new("RGBA", (TILE_W, TILE_H), (240,240,240,255))
|
| 92 |
+
buf = io.BytesIO(); placeholder.save(buf, "PNG")
|
| 93 |
+
col.image(buf.getvalue(), width=TILE_W)
|
| 94 |
+
col.caption("—"); return None, None
|
| 95 |
+
b = src if isinstance(src, (bytes, bytearray)) else fetch_bytes(src)
|
| 96 |
+
if not b:
|
| 97 |
+
col.warning("Görsel yüklenemedi"); return None, None
|
| 98 |
+
tile = image_to_9_16_canvas(b, w=TILE_W, h=TILE_H, bg_rgb=PREVIEW_BG)
|
| 99 |
+
col.image(tile, width=TILE_W)
|
| 100 |
+
sz = image_size_from_bytes(b)
|
| 101 |
+
if sz: col.caption(f"Kaynak: {sz[0]}×{sz[1]} px")
|
| 102 |
+
ext = infer_ext(b)
|
| 103 |
+
mime = "image/jpeg" if ext in [".jpg",".jpeg"] else ("image/png" if ext==".png" else "image/webp")
|
| 104 |
+
col.download_button("İndir (tam kalite)", data=b, file_name=f"{filename_stub}{ext}", mime=mime,
|
| 105 |
+
key=f"{key_prefix}_{filename_stub}_dl")
|
| 106 |
+
return src, b
|
| 107 |
+
|
| 108 |
+
def _video_html(src: str, w: int = TILE_W, h: int = TILE_H) -> str:
|
| 109 |
+
return f"""
|
| 110 |
+
<video src="{src}" width="{w}" height="{h}" autoplay muted loop playsinline controls
|
| 111 |
+
style="display:block; background:#fff; object-fit:contain; border-radius:12px;
|
| 112 |
+
box-shadow:0 1px 6px rgba(0,0,0,.08);"></video>
|
| 113 |
"""
|
| 114 |
+
|
| 115 |
+
def show_video_tile(col, title: str, src_or_bytes: str|bytes|None, key_prefix=""):
|
| 116 |
+
col.markdown(f"#### {title}")
|
| 117 |
+
if not src_or_bytes:
|
| 118 |
+
col.caption("—"); return None
|
| 119 |
+
if isinstance(src_or_bytes, (bytes, bytearray)):
|
| 120 |
+
b64 = base64.b64encode(src_or_bytes).decode("ascii")
|
| 121 |
+
html = _video_html(f"data:video/mp4;base64,{b64}", w=TILE_W, h=TILE_H)
|
| 122 |
+
col.markdown(html, unsafe_allow_html=True)
|
| 123 |
+
vb = bytes(src_or_bytes)
|
| 124 |
+
else:
|
| 125 |
+
# remote/local path → try to fetch for download button, but loop via URL
|
| 126 |
+
vb = fetch_bytes(src_or_bytes)
|
| 127 |
+
html = _video_html(src_or_bytes, w=TILE_W, h=TILE_H)
|
| 128 |
+
col.markdown(html, unsafe_allow_html=True)
|
| 129 |
+
if vb:
|
| 130 |
+
col.download_button("Video indir (MP4)", data=vb, file_name="fitstudio_video.mp4", mime="video/mp4",
|
| 131 |
+
key=f"{key_prefix}_video_dl")
|
| 132 |
+
return vb
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 133 |
|
| 134 |
def make_zip(named_bytes: list[tuple[str, bytes]]) -> bytes:
|
| 135 |
buf = io.BytesIO()
|
| 136 |
with zipfile.ZipFile(buf, "w", compression=zipfile.ZIP_DEFLATED) as z:
|
| 137 |
for fname, b in named_bytes:
|
| 138 |
+
if b: z.writestr(fname, b)
|
| 139 |
+
buf.seek(0); return buf.read()
|
|
|
|
|
|
|
| 140 |
|
| 141 |
def backend_ok() -> bool:
|
| 142 |
try:
|
| 143 |
r = requests.get(f"{API_BASE}/health", headers=HEADERS if HF_TOKEN else None, timeout=10)
|
| 144 |
+
r.raise_for_status(); return True
|
|
|
|
| 145 |
except Exception:
|
| 146 |
return False
|
| 147 |
|
| 148 |
def post_image_edit(data: dict, files_payload):
|
| 149 |
r = requests.post(f"{API_BASE}/v1/image/edit", data=data, files=files_payload or None,
|
| 150 |
headers=HEADERS if HF_TOKEN else None, timeout=600)
|
| 151 |
+
r.raise_for_status(); return r.json()
|
|
|
|
| 152 |
|
| 153 |
def post_chain(data: dict, files_payload):
|
| 154 |
+
payload = {**data, "to_video": "false"} # video ayrı
|
| 155 |
r = requests.post(f"{API_BASE}/v1/tryon/chain", data=payload, files=files_payload or None,
|
| 156 |
headers=HEADERS if HF_TOKEN else None, timeout=600)
|
| 157 |
+
r.raise_for_status(); return r.json()
|
|
|
|
| 158 |
|
| 159 |
+
def post_video(image_url: str, duration="6", resolution="768P", prompt_optimizer=True, gender="auto", age_group="auto"):
|
|
|
|
| 160 |
payload = {
|
| 161 |
+
"image_url": image_url, "duration": duration, "resolution": resolution,
|
|
|
|
|
|
|
| 162 |
"prompt_optimizer": "true" if prompt_optimizer else "false",
|
| 163 |
+
"gender": gender, "age_group": age_group, "frame_aspect": "9:16"
|
|
|
|
|
|
|
| 164 |
}
|
| 165 |
r = requests.post(f"{API_BASE}/v1/video/from-image", data=payload,
|
| 166 |
headers=HEADERS if HF_TOKEN else None, timeout=600)
|
| 167 |
+
r.raise_for_status(); return r.json()
|
|
|
|
| 168 |
|
| 169 |
+
# ================= Page =================
|
| 170 |
+
st.set_page_config(page_title="Fit Studio AI", layout="wide", page_icon="🧵")
|
| 171 |
st.title("🧵 Fit Studio AI")
|
| 172 |
+
st.caption("Fashion & Apparel — 9:16 stills (VTO) → optional runway video (looping)")
|
| 173 |
|
| 174 |
+
# ================= Controls =================
|
| 175 |
ok = backend_ok()
|
| 176 |
+
c0, c_gender, c_age, c2, c3, c4 = st.columns([1.0, 1.0, 1.2, 1.8, 1.4, 1.6])
|
| 177 |
|
| 178 |
with c0:
|
| 179 |
category = st.selectbox("Kategori", ["general","underwear"], index=0, key="category")
|
| 180 |
+
|
| 181 |
+
with c_gender:
|
| 182 |
gender = st.selectbox("Cinsiyet", ["auto","female","male","unisex"], index=0, key="gender")
|
| 183 |
+
|
| 184 |
+
with c_age:
|
| 185 |
age_group = st.selectbox("Yaş grubu", ["auto","teen","young_adult","adult","mature"], index=0, key="age_group")
|
| 186 |
+
|
| 187 |
+
with c2:
|
| 188 |
+
file_list = st.file_uploader("Garment image (upload)", type=["jpg","jpeg","png","webp"],
|
| 189 |
+
accept_multiple_files=True, key="file_upl")
|
| 190 |
+
|
| 191 |
with c3:
|
|
|
|
|
|
|
|
|
|
|
|
|
| 192 |
image_url = st.text_input("veya Garment URL", key="image_url")
|
| 193 |
|
| 194 |
+
with c4:
|
| 195 |
+
num_images = st.selectbox("Çıktı adedi", [1,2,3,4], index=0, key="num_images")
|
| 196 |
+
custom_prompt = st.text_area("Özel prompt (boş → varsayılan)", value="", height=90, key="custom_prompt")
|
| 197 |
+
|
| 198 |
+
bA, bB = st.columns([1.0, 1.0])
|
| 199 |
+
with bA: st.info(f"Backend: {'Online' if ok else 'Offline'}", icon="🔌")
|
| 200 |
+
with bB:
|
| 201 |
run_image = st.button("Çalıştır (Sadece Foto)", type="primary", use_container_width=True, key="run_img_btn")
|
| 202 |
run_chain = st.button("Zincir (Foto → Video hazırlık)", use_container_width=True, key="run_chain_btn")
|
| 203 |
|
| 204 |
+
# ================= Demo preview (uniform 9:16 tiles) =================
|
| 205 |
st.markdown("---")
|
| 206 |
+
st.subheader("Demo preview (çalıştırmadan önce örnek)")
|
| 207 |
+
st.caption("Aynı klasörden okunur: input.jpg, tryon.jpg, fitstudio_video.mp4")
|
| 208 |
|
| 209 |
+
dp_in, dp_sp, dp_v = st.columns([1,1,1])
|
|
|
|
|
|
|
|
|
|
| 210 |
|
| 211 |
+
in_bytes = fetch_bytes("input.jpg")
|
| 212 |
+
show_image_tile(dp_in, "Input", in_bytes, filename_stub="input", key_prefix="demo_in")
|
|
|
|
| 213 |
|
| 214 |
+
try_bytes = fetch_bytes("tryon.jpg")
|
| 215 |
+
show_image_tile(dp_sp, "Sample Output", try_bytes, filename_stub="tryon", key_prefix="demo_out")
|
|
|
|
| 216 |
|
| 217 |
+
demo_vbytes = fetch_bytes("fitstudio_video.mp4")
|
| 218 |
+
show_video_tile(dp_v, "Sample Video (loop)", demo_vbytes, key_prefix="demo_vid")
|
| 219 |
+
|
| 220 |
+
# ================= Girdi önizleme (uniform 9:16) =================
|
| 221 |
+
st.markdown("---")
|
| 222 |
+
g1, _, _, _ = st.columns([1,1,1,1]) # sadece 1 tile gösteriyoruz
|
| 223 |
input_preview = None
|
| 224 |
if file_list:
|
| 225 |
+
try: input_preview = file_list[0].getvalue()
|
| 226 |
+
except Exception: input_preview = None
|
|
|
|
|
|
|
| 227 |
elif image_url:
|
| 228 |
input_preview = fetch_bytes(image_url)
|
| 229 |
|
| 230 |
+
show_image_tile(g1, "Input (preview)", input_preview, filename_stub="preview", key_prefix="preview")
|
| 231 |
|
| 232 |
# ================ Çalıştır ================
|
| 233 |
def _build_files_payload():
|
|
|
|
| 245 |
"frame_aspect": "9:16",
|
| 246 |
"num_images": str(st.session_state["num_images"]),
|
| 247 |
}
|
| 248 |
+
if st.session_state.get("custom_prompt","").strip():
|
|
|
|
| 249 |
data["prompt"] = st.session_state["custom_prompt"].strip()
|
| 250 |
if image_url:
|
| 251 |
data["image_urls"] = image_url.strip()
|
|
|
|
| 260 |
try:
|
| 261 |
files_payload = _build_files_payload()
|
| 262 |
form = _common_form_data()
|
|
|
|
| 263 |
with st.spinner("Çalışıyor…"):
|
| 264 |
if run_image:
|
| 265 |
out = post_image_edit(form, files_payload)
|
|
|
|
| 268 |
out = post_chain(form, files_payload) # to_video=false
|
| 269 |
image_json = out.get("image_step") or out
|
| 270 |
|
| 271 |
+
# Prefer normalized images_9_16
|
| 272 |
+
res_block = image_json.get("result") or {}
|
| 273 |
+
imgs_norm = res_block.get("images_9_16") or []
|
| 274 |
+
imgs_raw = res_block.get("images") or []
|
| 275 |
+
urls = []
|
| 276 |
+
if imgs_norm:
|
| 277 |
+
for it in imgs_norm:
|
| 278 |
+
u = it.get("url");
|
| 279 |
+
if u: urls.append(u)
|
| 280 |
+
elif imgs_raw:
|
| 281 |
+
for it in imgs_raw:
|
| 282 |
+
u = it.get("url")
|
| 283 |
+
if u: urls.append(u)
|
| 284 |
|
| 285 |
st.session_state["job_counter"] += 1
|
| 286 |
st.session_state["results"] = {
|
|
|
|
| 295 |
except Exception as e:
|
| 296 |
st.error(f"Hata: {e}")
|
| 297 |
|
| 298 |
+
# ================ Sonuçları Yan Yana (aynı kadraj) ================
|
| 299 |
res = st.session_state.get("results") or {}
|
| 300 |
if res:
|
| 301 |
key_prefix = f"job{st.session_state['job_counter']}"
|
| 302 |
img_urls = res.get("image_urls") or []
|
| 303 |
video_url = res.get("video_url")
|
| 304 |
|
| 305 |
+
st.markdown("### Sonuçlar")
|
| 306 |
+
c1, c2, c3, c4 = st.columns([1,1,1,1])
|
| 307 |
named = []
|
| 308 |
|
| 309 |
+
# İlk 3 görsel
|
| 310 |
for idx, col in enumerate([c1, c2, c3]):
|
| 311 |
if idx < len(img_urls):
|
| 312 |
u = img_urls[idx]
|
| 313 |
title = "Look" if idx == 0 else f"Look #{idx+1}"
|
| 314 |
+
_, b = show_image_tile(col, title, u, filename_stub=f"look_{idx+1}", key_prefix=f"{key_prefix}_{idx}")
|
| 315 |
+
if b: named.append((f"look_{idx+1}{infer_ext(b)}", b))
|
|
|
|
| 316 |
else:
|
| 317 |
+
show_image_tile(col, f"Look #{idx+1}", None, key_prefix=f"{key_prefix}_{idx}")
|
| 318 |
|
| 319 |
+
# Video sütunu (loop)
|
| 320 |
vbytes = None
|
| 321 |
if video_url:
|
| 322 |
+
vbytes = show_video_tile(c4, "Video (loop)", video_url, key_prefix=key_prefix)
|
| 323 |
else:
|
| 324 |
+
c4.markdown("#### Video (loop)")
|
| 325 |
+
c4.caption("Henüz üretilmedi.")
|
| 326 |
|
| 327 |
+
# Video üretim kontrolleri
|
| 328 |
st.markdown("---")
|
| 329 |
colv1, colv2, colv3 = st.columns([1.1, 1.0, 1.2])
|
| 330 |
with colv1:
|
|
|
|
| 345 |
duration=st.session_state.get("duration_select","6"),
|
| 346 |
resolution="768P",
|
| 347 |
prompt_optimizer=True,
|
| 348 |
+
gender=st.session_state.get("gender","auto"),
|
| 349 |
+
age_group=st.session_state.get("age_group","auto")
|
|
|
|
| 350 |
)
|
| 351 |
vurl = (v.get("result") or {}).get("video", {}).get("url")
|
| 352 |
if vurl:
|
| 353 |
st.session_state["results"]["video_url"] = vurl
|
| 354 |
video_url = vurl
|
| 355 |
+
vbytes = show_video_tile(c4, "Video (loop)", video_url, key_prefix=key_prefix)
|
| 356 |
else:
|
| 357 |
st.info("Video URL gelmedi.")
|
| 358 |
|
|
|
|
| 361 |
if vbytes:
|
| 362 |
named.append(("video.mp4", vbytes))
|
| 363 |
zip_bytes = make_zip(named)
|
| 364 |
+
st.download_button("Tümünü indir (ZIP)", data=zip_bytes, file_name="fitstudio_outputs.zip",
|
| 365 |
+
mime="application/zip", key=f"{key_prefix}_zip_dl")
|
| 366 |
+
|
| 367 |
+
# Debug
|
| 368 |
+
with st.expander("Debug"):
|
| 369 |
+
st.json({
|
| 370 |
+
"job_id": res.get("job_id"),
|
| 371 |
+
"schema_version": res.get("schema_version"),
|
| 372 |
+
"api_base": API_BASE,
|
| 373 |
+
"has_auth_header": bool(HF_TOKEN),
|
| 374 |
+
"image_urls": img_urls,
|
| 375 |
+
"video_url": res.get("video_url"),
|
| 376 |
+
"tile": f"{TILE_W}x{TILE_H} (9:16)"
|
| 377 |
+
})
|
| 378 |
+
|
| 379 |
+
# ================= Sidebar =================
|
| 380 |
with st.sidebar:
|
| 381 |
+
st.caption(f"Resolved API_BASE: {API_BASE}")
|
| 382 |
st.caption("Auth header: " + ("ON" if HF_TOKEN else "OFF"))
|
|
|
|
| 383 |
|
| 384 |
if st.button("Ping /health"):
|
| 385 |
try:
|
| 386 |
r = requests.get(f"{API_BASE}/health", headers=HEADERS if HF_TOKEN else None, timeout=10)
|
| 387 |
st.write(r.status_code)
|
| 388 |
+
try: st.json(r.json())
|
| 389 |
+
except Exception: st.code((r.text or "")[:1000])
|
|
|
|
|
|
|
| 390 |
except Exception as e:
|
| 391 |
st.error(f"Health error: {e}")
|
| 392 |
|