Increase file size limits: upload 1 GB, processing 2 GB

README.md

@@ -458,7 +458,7 @@ Creates Gradio interface for web UI.
    - Shape validation (minimum 3D, maximum 2000 per dimension)
    - Voxel spacing validation
    - NaN/Inf value detection
-   - File size limits (upload: max 50 MB, processing: max 200 MB)
+   - File size limits (upload: max 1 GB, processing: max 2 GB)
    - File size warnings (< 100 KB may indicate compression)
    - Dimension warnings (< 20 slices may indicate incomplete volume)
    - Metadata validation (voxel spacing, affine matrix)
@@ -696,7 +696,7 @@ Upload a NIfTI file for liver segmentation.
 }
 ```
 
-**Note:** For mask files > 50 MB, `segmentation_file` will be `null` and `mask_path_token` will be provided. Use `mask_download_url` to download the file. Tokens expire after 24 hours.
+**Note:** For mask files > 1 GB, `segmentation_file` will be `null` and `mask_path_token` will be provided. Use `mask_download_url` to download the file. Tokens expire after 24 hours.
 
 #### GET /api/health
 Check API health and model status.

app.py

@@ -307,10 +307,10 @@ async def segment_liver(
         content = await file.read()
     file_size_mb = len(content) / (1024**2)
     
-    if file_size_mb > 50:
+    if file_size_mb > 1000:
         raise HTTPException(
             status_code=413, 
-            detail=f"File too large: {file_size_mb:.1f} MB. Maximum upload size is 50 MB. Please compress or resample your NIfTI file."
+            detail=f"File too large: {file_size_mb:.1f} MB. Maximum upload size is 1 GB. Please compress or resample your NIfTI file."
         )
     
     with tempfile.NamedTemporaryFile(delete=False, suffix='.nii.gz') as tmp_file:
@@ -329,7 +329,7 @@ async def segment_liver(
         seg_path = result["segmentation_path"]
         seg_file_size = os.path.getsize(seg_path) / (1024**2)
         
-        if seg_file_size > 50:
+        if seg_file_size > 1000:
             token = secrets.token_urlsafe(16)
             token_dir = "/tmp/seg_tokens"
             os.makedirs(token_dir, exist_ok=True)
@@ -348,7 +348,7 @@ async def segment_liver(
             result["mask_download_url"] = None
         
         os.unlink(tmp_path)
-        if seg_file_size <= 50:
+        if seg_file_size <= 1000:
             os.unlink(seg_path)
         
         return JSONResponse(content=result)
@@ -381,7 +381,7 @@ def create_interface():
                 nifti_input = gr.File(
                     file_count="single",
                     file_types=[".nii.gz", ".nii"],
-                    label="Upload NIfTI File (max 50 MB)"
+                    label="Upload NIfTI File (max 1 GB)"
                 )
                 
                 modality = gr.Radio(

processing.py

@@ -39,8 +39,8 @@ def preprocess_nifti(file_path, device=None):
         file_size_kb = os.path.getsize(file_path) / 1024
         if file_size == 0:
             raise ValueError("NIfTI file is empty")
-        if file_size > 200:
-            raise ValueError(f"NIfTI file too large: {file_size:.1f} MB. Maximum processing size is 200 MB. For larger files, consider compression or resampling.")
+        if file_size > 2000:
+            raise ValueError(f"NIfTI file too large: {file_size:.1f} MB. Maximum processing size is 2 GB. For larger files, consider compression or resampling.")
         
         if file_size_kb < 100:
             print(f"  ⚠ WARNING: File size is very small ({file_size_kb:.1f} KB). This may indicate:")