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README.md

@@ -1,14 +1,12 @@
 ---
-title: Veo3generator
-emoji: 💻
-colorFrom: pink
-colorTo: yellow
+title: Veobatch
+emoji: 😻
+colorFrom: red
+colorTo: pink
 sdk: gradio
-sdk_version: 5.44.1
+sdk_version: 5.42.0
 app_file: app.py
 pinned: false
-license: apache-2.0
-short_description: veo3 generator
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# app.py (Space publik)
+import os
+from huggingface_hub import snapshot_download
+import sys
+
+# ---- 1) Set ENV sebelum Streamlit jalan (W A J I B) ----
+# HOME yang writable (agar tidak tulis ke '/.streamlit')
+os.environ.setdefault("HOME", "/home/user")
+# Matikan XSRF/CORS + naikan limit upload
+os.environ.setdefault("STREAMLIT_SERVER_ENABLE_XSRF_PROTECTION", "false")
+os.environ.setdefault("STREAMLIT_SERVER_ENABLE_CORS", "false")
+os.environ.setdefault("STREAMLIT_BROWSER_GATHER_USAGE_STATS", "false")
+os.environ.setdefault("STREAMLIT_SERVER_MAX_UPLOAD_SIZE", "1024")
+
+# (opsional) siapkan config.toml sebagai backup
+try:
+    cfg_dir = os.path.join(os.environ["HOME"], ".streamlit")
+    os.makedirs(cfg_dir, exist_ok=True)
+    cfg_path = os.path.join(cfg_dir, "config.toml")
+    if not os.path.exists(cfg_path):
+        with open(cfg_path, "w", encoding="utf-8") as f:
+            f.write(
+                "[server]\n"
+                "enableXsrfProtection = false\n"
+                "enableCORS = false\n"
+                "maxUploadSize = 1024\n"
+                "\n[browser]\n"
+                "gatherUsageStats = false\n"
+            )
+except Exception:
+    pass
+
+# ---- 2) Download Space privat ----
+LOCAL_DIR = snapshot_download(
+    repo_id="zenefil/veo",        # <== pastikan benar
+    repo_type="space",
+    use_auth_token=os.getenv("HF_TOKEN"),
+)
+
+# ---- 3) Jalankan streamlit script dari Space privat ----
+streamlit_script = os.path.join(LOCAL_DIR, "src", "streamlit_app.py")
+if not os.path.exists(streamlit_script):
+    print(f"File tidak ditemukan: {streamlit_script}")
+    sys.exit(1)
+
+os.execvp(
+    "streamlit",
+    [
+        "streamlit",
+        "run",
+        streamlit_script,
+        "--server.address", "0.0.0.0",
+        "--server.port", os.getenv("PORT", "7860"),
+    ],
+)

gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

requirements.txt

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+huggingface_hub
+streamlit
+imageio-ffmpeg
+google-generativeai