update files

examples/call_space_gradio_client.py

@@ -2,7 +2,10 @@ from __future__ import annotations
 
 import argparse
 import os
+import tempfile
+from pathlib import Path
 
+import requests
 from gradio_client import Client
 
 
@@ -16,17 +19,34 @@ def main() -> int:
     token = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_HUB_TOKEN") or None
     client = Client(args.space, hf_token=token)
 
-    result = client.predict(
-        {"url": args.image_url, "meta": {"_type": "gradio.FileData"}},
-        args.prompt,
-        1008,  # max_long_side
-        0.3,  # score_threshold
-        0.5,  # mask_threshold
-        8,  # max_instances
-        8,  # num_threads
-        0.5,  # overlay_alpha
-        api_name="/run_text_prompt",
-    )
+    tmp_path: str | None = None
+    try:
+        # Gradio's backend does not fetch http(s) URLs for Image inputs.
+        # Download client-side, then let gradio_client upload the local file.
+        resp = requests.get(args.image_url, timeout=60)
+        resp.raise_for_status()
+        suffix = Path(args.image_url).suffix or ".jpg"
+        with tempfile.NamedTemporaryFile(prefix="gradio_", suffix=suffix, delete=False) as f:
+            f.write(resp.content)
+            tmp_path = f.name
+
+        result = client.predict(
+            tmp_path,
+            args.prompt,
+            1008,  # max_long_side
+            0.3,  # score_threshold
+            0.5,  # mask_threshold
+            8,  # max_instances
+            8,  # num_threads
+            0.5,  # overlay_alpha
+            api_name="/run_text_prompt",
+        )
+    finally:
+        if tmp_path:
+            try:
+                os.unlink(tmp_path)
+            except OSError:
+                pass
 
     overlay, detections = result
     print("overlay:", overlay)
@@ -36,4 +56,3 @@ def main() -> int:
 
 if __name__ == "__main__":
     raise SystemExit(main())
-

examples/call_space_requests.py

@@ -1,17 +1,25 @@
 from __future__ import annotations
 
 import argparse
+import base64
 import json
 import os
-import sys
 import urllib.parse
 from typing import Any, Dict, List, Tuple
 
 import requests
 
 
-def _image_data_from_url(url: str) -> Dict[str, Any]:
-    return {"url": url, "meta": {"_type": "gradio.FileData"}}
+def _image_data_from_http_url(url: str) -> Dict[str, Any]:
+    """
+    Gradio's backend image preprocessing accepts `url` only for base64 data URLs.
+    So we fetch the bytes client-side and send a `data:<mime>;base64,...` URL.
+    """
+    resp = requests.get(url, timeout=60)
+    resp.raise_for_status()
+    mime = (resp.headers.get("content-type") or "image/jpeg").split(";", 1)[0].strip()
+    b64 = base64.b64encode(resp.content).decode("utf-8")
+    return {"url": f"data:{mime};base64,{b64}", "meta": {"_type": "gradio.FileData"}}
 
 
 def _call_gradio_call_api(
@@ -84,7 +92,7 @@ def main() -> int:
         base_url=args.base.rstrip("/"),
         api_name=args.api_name.strip("/"),
         data=[
-            _image_data_from_url(args.image_url),
+            _image_data_from_http_url(args.image_url),
             args.prompt,
             1008,  # max_long_side
             0.3,  # score_threshold
@@ -93,6 +101,7 @@ def main() -> int:
             8,  # num_threads
             0.5,  # overlay_alpha
         ],
+        headers=headers,
     )
 
     overlay, detections = result
@@ -109,4 +118,3 @@ def main() -> int:
 
 if __name__ == "__main__":
     raise SystemExit(main())
-