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import gradio as gr
import torch
import os
import sys
import tempfile
import shutil
import subprocess
import spaces # Keep this if you use @spaces.GPU
from typing import Any, Dict, List, Union # Added Union
# --- Configuration ---
APP_ROOT_DIR = os.path.abspath(os.path.dirname(__file__)) # Should be /home/user/app
UNIRIG_REPO_DIR = os.path.join(APP_ROOT_DIR, "UniRig")
# ** MODIFIED FOR LOCAL BLENDER INSTALLATION **
BLENDER_VERSION_NAME = "blender-4.2.0-linux-x64"
BLENDER_LOCAL_INSTALL_BASE_DIR = os.path.join(APP_ROOT_DIR, "blender_installation")
BLENDER_INSTALL_DIR = os.path.join(BLENDER_LOCAL_INSTALL_BASE_DIR, BLENDER_VERSION_NAME)
BLENDER_PYTHON_VERSION_DIR = "4.2" # From Blender's internal structure
BLENDER_PYTHON_VERSION = "python3.11" # UniRig requirement
# Construct paths based on the new local installation
BLENDER_PYTHON_DIR = os.path.join(BLENDER_INSTALL_DIR, BLENDER_PYTHON_VERSION_DIR, "python")
BLENDER_PYTHON_BIN_DIR = os.path.join(BLENDER_PYTHON_DIR, "bin")
BLENDER_EXEC = os.path.join(BLENDER_INSTALL_DIR, "blender")
# Symlink might not be created or might be in a local bin, app.py prioritizes BLENDER_EXEC
# Keeping this definition for fallback, but it's less likely to be the primary method now.
BLENDER_EXEC_SYMLINK = "/usr/local/bin/blender" # Standard system symlink path (may not exist/be used)
LOCAL_BIN_DIR = os.path.join(APP_ROOT_DIR, "local_bin") # Potential local symlink location
BLENDER_EXEC_LOCAL_SYMLINK = os.path.join(LOCAL_BIN_DIR, "blender")
SETUP_SCRIPT = os.path.join(APP_ROOT_DIR, "setup_blender.sh")
SETUP_SCRIPT_TIMEOUT = 800 # Increased timeout
# --- Initial Checks ---
print("--- Environment Checks ---")
print(f"APP_ROOT_DIR: {APP_ROOT_DIR}")
print(f"Expected Blender Install Dir: {BLENDER_INSTALL_DIR}")
print(f"Expected Blender Executable: {BLENDER_EXEC}")
blender_executable_to_use = None
if os.path.exists(BLENDER_EXEC):
print(f"Blender executable found at direct local path: {BLENDER_EXEC}")
blender_executable_to_use = BLENDER_EXEC
elif os.path.exists(BLENDER_EXEC_LOCAL_SYMLINK):
print(f"Blender executable found via local symlink: {BLENDER_EXEC_LOCAL_SYMLINK}")
blender_executable_to_use = BLENDER_EXEC_LOCAL_SYMLINK
elif os.path.exists(BLENDER_EXEC_SYMLINK): # Fallback to system symlink (less likely)
print(f"Blender executable found via system symlink: {BLENDER_EXEC_SYMLINK}")
blender_executable_to_use = BLENDER_EXEC_SYMLINK
else:
print(f"Blender executable not found at {BLENDER_EXEC}, {BLENDER_EXEC_LOCAL_SYMLINK}, or {BLENDER_EXEC_SYMLINK}. Running setup script...")
if os.path.exists(SETUP_SCRIPT):
try:
# Run setup script if Blender not found
# Ensure setup_blender.sh is executable (chmod +x setup_blender.sh in Dockerfile or Space setup)
setup_result = subprocess.run(
["bash", SETUP_SCRIPT],
check=True,
capture_output=True,
text=True,
timeout=SETUP_SCRIPT_TIMEOUT
)
print("Setup script executed successfully.")
print(f"Setup STDOUT:\n{setup_result.stdout}")
if setup_result.stderr: print(f"Setup STDERR:\n{setup_result.stderr}")
# Re-check for executable after running setup (prioritize direct local path)
if os.path.exists(BLENDER_EXEC):
blender_executable_to_use = BLENDER_EXEC
print(f"Blender executable now found at direct local path: {BLENDER_EXEC}")
elif os.path.exists(BLENDER_EXEC_LOCAL_SYMLINK):
blender_executable_to_use = BLENDER_EXEC_LOCAL_SYMLINK
print(f"Blender executable now found via local symlink: {BLENDER_EXEC_LOCAL_SYMLINK}")
elif os.path.exists(BLENDER_EXEC_SYMLINK):
blender_executable_to_use = BLENDER_EXEC_SYMLINK
print(f"Blender executable now found via system symlink: {BLENDER_EXEC_SYMLINK}")
if not blender_executable_to_use:
raise RuntimeError(f"Setup script ran but Blender executable still not found at {BLENDER_EXEC} or other checked paths.")
except subprocess.TimeoutExpired:
print(f"ERROR: Setup script timed out after {SETUP_SCRIPT_TIMEOUT} seconds: {SETUP_SCRIPT}")
raise gr.Error(f"Setup script timed out after {SETUP_SCRIPT_TIMEOUT // 60} minutes. The Space might be too slow or setup is stuck. Check full logs for the last operation.")
except subprocess.CalledProcessError as e:
print(f"ERROR running setup script: {SETUP_SCRIPT}\nStderr: {e.stderr}")
raise gr.Error(f"Failed to execute setup script. Check logs. Stderr: {e.stderr[-500:]}")
except Exception as e:
raise gr.Error(f"Unexpected error running setup script '{SETUP_SCRIPT}': {e}")
else:
raise gr.Error(f"Blender executable not found and setup script missing: {SETUP_SCRIPT}")
# Verify bpy import using the found Blender executable
bpy_import_ok = False
if blender_executable_to_use:
try:
print("Testing bpy import via Blender...")
test_script_content = "import bpy; print('bpy imported successfully')"
test_result = subprocess.run(
[blender_executable_to_use, "--background", "--python-expr", test_script_content],
capture_output=True, text=True, check=True, timeout=30
)
if "bpy imported successfully" in test_result.stdout:
print("Successfully imported 'bpy' using Blender executable.")
bpy_import_ok = True
else:
print(f"WARNING: 'bpy' import test via Blender returned unexpected output:\nSTDOUT:{test_result.stdout}\nSTDERR:{test_result.stderr}")
except subprocess.TimeoutExpired:
print("WARNING: 'bpy' import test via Blender timed out.")
except subprocess.CalledProcessError as e:
print(f"WARNING: Failed to import 'bpy' using Blender executable:\nSTDOUT:{e.stdout}\nSTDERR:{e.stderr}")
except Exception as e:
print(f"WARNING: Unexpected error during 'bpy' import test: {e}")
else:
print("WARNING: Cannot test bpy import as Blender executable was not found.")
# Check for UniRig repository and run.py
unirig_repo_ok = False
unirig_run_py_ok = False
UNIRIG_RUN_PY = os.path.join(UNIRIG_REPO_DIR, "run.py")
if not os.path.isdir(UNIRIG_REPO_DIR):
raise gr.Error(f"UniRig repository missing at: {UNIRIG_REPO_DIR}. Ensure it's cloned correctly.")
else:
print(f"UniRig repository found at: {UNIRIG_REPO_DIR}")
unirig_repo_ok = True
if not os.path.exists(UNIRIG_RUN_PY):
raise gr.Error(f"UniRig's run.py not found at {UNIRIG_RUN_PY}. Check UniRig clone.")
else:
unirig_run_py_ok = True
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
print(f"Gradio environment using device: {DEVICE}")
if DEVICE.type == 'cuda':
try:
print(f"Gradio CUDA Device Name: {torch.cuda.get_device_name(0)}")
print(f"Gradio PyTorch CUDA Built Version: {torch.version.cuda}")
except Exception as e:
print(f"Could not get Gradio CUDA device details: {e}")
else:
print("Warning: Gradio environment CUDA not available.")
print("--- End Environment Checks ---")
def patch_asset_py():
"""Temporary patch to fix type hinting error in UniRig's asset.py"""
asset_py_path = os.path.join(UNIRIG_REPO_DIR, "src", "data", "asset.py")
try:
if not os.path.exists(asset_py_path):
print(f"Warning: asset.py not found at {asset_py_path}, skipping patch.")
return
with open(asset_py_path, "r") as f: content = f.read()
problematic_line = "meta: Union[Dict[str, ...], None]=None"
corrected_line = "meta: Union[Dict[str, Any], None]=None"
typing_import = "from typing import Any"
if corrected_line in content:
print("Patch already applied to asset.py"); return
if problematic_line not in content:
print("Problematic line not found in asset.py, patch might be unnecessary or file changed."); return
print("Applying patch to asset.py...")
content = content.replace(problematic_line, corrected_line)
if typing_import not in content:
if "from typing import" in content:
content = content.replace("from typing import", f"{typing_import}\nfrom typing import", 1)
else:
content = f"{typing_import}\n{content}"
with open(asset_py_path, "w") as f: f.write(content)
print("Successfully patched asset.py")
except Exception as e:
print(f"ERROR: Failed to patch asset.py: {e}. Proceeding cautiously.")
@spaces.GPU
def run_unirig_command(python_script_path: str, script_args: List[str], step_name: str):
"""
Runs a specific UniRig PYTHON script (.py) using the Blender executable
in background mode (`blender --background --python script.py -- args`).
"""
if not blender_executable_to_use:
raise gr.Error("Blender executable path could not be determined. Cannot run UniRig step.")
process_env = os.environ.copy()
unirig_src_dir = os.path.join(UNIRIG_REPO_DIR, 'src')
pythonpath_parts = [UNIRIG_REPO_DIR, unirig_src_dir]
existing_pythonpath = process_env.get('PYTHONPATH', '')
if existing_pythonpath:
pythonpath_parts.append(existing_pythonpath)
process_env["PYTHONPATH"] = os.pathsep.join(filter(None, pythonpath_parts))
print(f"Subprocess PYTHONPATH: {process_env['PYTHONPATH']}")
# LD_LIBRARY_PATH: Inherit system path and add Blender's libraries (now from local install)
blender_main_lib_path = os.path.join(BLENDER_INSTALL_DIR, "lib") # Path to Blender's own .so files
blender_python_lib_path = os.path.join(BLENDER_PYTHON_DIR, "lib") # Path to Blender's Python's site-packages etc.
ld_path_parts = []
if os.path.exists(blender_main_lib_path): ld_path_parts.append(blender_main_lib_path)
if os.path.exists(blender_python_lib_path): ld_path_parts.append(blender_python_lib_path)
# Add local bin to PATH if it exists and contains the symlink, for consistency
# Also ensure Blender's own script/bin directories are implicitly available if needed by Blender.
# The direct call to blender_executable_to_use should handle most cases.
if os.path.isdir(LOCAL_BIN_DIR):
process_env["PATH"] = f"{LOCAL_BIN_DIR}{os.pathsep}{process_env.get('PATH', '')}"
existing_ld_path = process_env.get('LD_LIBRARY_PATH', '')
if existing_ld_path: ld_path_parts.append(existing_ld_path)
if ld_path_parts:
process_env["LD_LIBRARY_PATH"] = os.pathsep.join(filter(None, ld_path_parts))
print(f"Subprocess LD_LIBRARY_PATH: {process_env.get('LD_LIBRARY_PATH', 'Not set')}")
print(f"Subprocess PATH: {process_env.get('PATH', 'Not set')}")
cmd = [
blender_executable_to_use,
"--background",
"--python", python_script_path,
"--"
] + script_args
print(f"\n--- Running UniRig Step: {step_name} ---")
print(f"Command: {' '.join(cmd)}")
try:
result = subprocess.run(
cmd,
cwd=UNIRIG_REPO_DIR,
capture_output=True,
text=True,
check=True,
env=process_env,
timeout=1800
)
print(f"{step_name} STDOUT:\n{result.stdout}")
if result.stderr:
print(f"{step_name} STDERR (Info/Warnings):\n{result.stderr}")
stderr_lower = result.stderr.lower()
if "error" in stderr_lower or "failed" in stderr_lower or "traceback" in stderr_lower:
print(f"WARNING: Potential error messages found in STDERR for {step_name} despite success exit code.")
except subprocess.TimeoutExpired:
print(f"ERROR: {step_name} timed out after 30 minutes.")
raise gr.Error(f"Processing step '{step_name}' timed out. Please try with a simpler model or check logs.")
except subprocess.CalledProcessError as e:
print(f"ERROR during {step_name}: Subprocess failed!")
print(f"Command: {' '.join(e.cmd)}")
print(f"Return code: {e.returncode}")
print(f"--- {step_name} STDOUT ---:\n{e.stdout}")
print(f"--- {step_name} STDERR ---:\n{e.stderr}")
error_summary = e.stderr.strip().splitlines()
last_lines = "\n".join(error_summary[-15:]) if error_summary else "No stderr output."
specific_error = "Unknown error."
if "ModuleNotFoundError: No module named 'src'" in e.stderr:
specific_error = "UniRig script failed to import its own 'src' module. Check PYTHONPATH and CWD for the subprocess. See diagnostic info above."
elif "ModuleNotFoundError: No module named 'bpy'" in e.stderr:
specific_error = "The 'bpy' module could not be imported by the script. Check installation in Blender's Python (via setup_blender.sh)."
elif "ModuleNotFoundError: No module named 'flash_attn'" in e.stderr:
specific_error = "The 'flash_attn' module is missing or failed to import. It might have failed during installation. Check setup_blender.sh logs."
elif "ModuleNotFoundError" in e.stderr or "ImportError" in e.stderr:
specific_error = f"An import error occurred. Check library installations. Details: {last_lines}"
elif "OutOfMemoryError" in e.stderr or "CUDA out of memory" in e.stderr:
specific_error = "CUDA out of memory. Try a smaller model or a Space with more GPU RAM."
elif "hydra.errors.ConfigCompositionException" in e.stderr:
specific_error = f"Hydra configuration error. Check the arguments passed to run.py: {script_args}. Details: {last_lines}"
elif "Error: Cannot read file" in e.stderr:
specific_error = f"Blender could not read an input/output file. Check paths. Details: {last_lines}"
elif "Error:" in e.stderr:
specific_error = f"Blender reported an error. Details: {last_lines}"
else:
specific_error = f"Check logs. Last error lines:\n{last_lines}"
raise gr.Error(f"Error in UniRig '{step_name}'. {specific_error}")
except FileNotFoundError:
print(f"ERROR: Could not find Blender executable '{blender_executable_to_use}' or script '{python_script_path}' for {step_name}.")
raise gr.Error(f"Setup error for UniRig '{step_name}'. Blender or Python script not found.")
except Exception as e_general:
print(f"An unexpected Python exception occurred in run_unirig_command for {step_name}: {e_general}")
import traceback
traceback.print_exc()
raise gr.Error(f"Unexpected Python error during '{step_name}' execution: {str(e_general)[:500]}")
print(f"--- Finished UniRig Step: {step_name} ---")
@spaces.GPU
def rig_glb_mesh_multistep(input_glb_file_obj):
"""
Main Gradio function to rig a GLB mesh using UniRig's multi-step process.
"""
if not blender_executable_to_use:
gr.Warning("System not ready: Blender executable not found. Please wait or check logs.")
return None, None
if not unirig_repo_ok or not unirig_run_py_ok:
gr.Warning("System not ready: UniRig repository or run.py script not found. Check setup.")
return None, None
if not bpy_import_ok:
gr.Warning("System warning: Initial 'bpy' import test failed. Attempting to proceed, but errors may occur.")
try:
patch_asset_py()
except Exception as e:
print(f"Ignoring patch error: {e}")
if input_glb_file_obj is None:
gr.Info("Please upload a .glb file first.")
return None
input_glb_path = input_glb_file_obj # Gradio File component with type="filepath" returns a string path
print(f"Input GLB path received: {input_glb_path}")
if not isinstance(input_glb_path, str) or not os.path.exists(input_glb_path):
raise gr.Error(f"Invalid input file path received or file does not exist: {input_glb_path}")
if not input_glb_path.lower().endswith(".glb"):
raise gr.Error("Invalid file type. Please upload a .glb file.")
processing_temp_dir = tempfile.mkdtemp(prefix="unirig_processing_")
print(f"Using temporary processing directory: {processing_temp_dir}")
try:
base_name = os.path.splitext(os.path.basename(input_glb_path))[0]
# Ensure paths used by UniRig are absolute, especially if its CWD changes
abs_input_glb_path = os.path.abspath(input_glb_path)
abs_skeleton_output_path = os.path.join(processing_temp_dir, f"{base_name}_skeleton.fbx")
abs_skin_output_path = os.path.join(processing_temp_dir, f"{base_name}_skin.fbx")
abs_final_rigged_glb_path = os.path.join(processing_temp_dir, f"{base_name}_rigged_final.glb")
unirig_script_to_run = UNIRIG_RUN_PY
print("\n--- Running Blender Python Environment Diagnostic Test ---")
diagnostic_script_content = f"""
import sys
import os
import traceback
print("--- Diagnostic Info from Blender Python ---")
print(f"Python Executable: {{sys.executable}}")
print(f"Current Working Directory (inside script): {{os.getcwd()}}")
print("sys.path:")
for p in sys.path: print(f" {{p}}")
print("\\nPYTHONPATH Environment Variable (as seen by script):")
print(os.environ.get('PYTHONPATH', 'PYTHONPATH not set or empty'))
print("\\nLD_LIBRARY_PATH Environment Variable (as seen by script):")
print(os.environ.get('LD_LIBRARY_PATH', 'LD_LIBRARY_PATH not set or empty'))
print("\\nPATH Environment Variable (as seen by script):")
print(os.environ.get('PATH', 'PATH not set or empty'))
print("\\n--- Attempting Imports ---")
try:
import bpy
print("SUCCESS: 'bpy' imported.")
except ImportError as e:
print(f"FAILED to import 'bpy': {{e}}")
traceback.print_exc()
except Exception as e:
print(f"FAILED to import 'bpy' with other error: {{e}}")
traceback.print_exc()
try:
print("\\nChecking for 'src' in CWD (should be UniRig repo root):")
if os.path.isdir('src'):
print(" 'src' directory FOUND in CWD.")
if os.path.isfile(os.path.join('src', '__init__.py')):
print(" 'src/__init__.py' FOUND.")
else:
print(" WARNING: 'src/__init__.py' NOT FOUND. 'src' may not be treated as a package.")
else:
print(" 'src' directory NOT FOUND in CWD.")
print("\\nAttempting: from src.inference.download import download")
from src.inference.download import download # Example import
print("SUCCESS: 'from src.inference.download import download' worked.")
except ImportError as e:
print(f"FAILED: 'from src.inference.download import download': {{e}}")
traceback.print_exc()
except Exception as e:
print(f"FAILED: 'from src.inference.download import download' with other error: {{e}}")
traceback.print_exc()
print("--- End Diagnostic Info ---")
"""
diagnostic_script_path = os.path.join(processing_temp_dir, "env_diagnostic_test.py")
with open(diagnostic_script_path, "w") as f: f.write(diagnostic_script_content)
try:
run_unirig_command(diagnostic_script_path, [], "Blender Env Diagnostic")
print("--- Finished Blender Python Environment Diagnostic Test ---\n")
except Exception as e_diag:
print(f"ERROR during diagnostic test execution: {e_diag}")
if os.path.exists(diagnostic_script_path): os.remove(diagnostic_script_path)
raise gr.Error(f"Blender environment diagnostic failed. Cannot proceed. Check logs. Error: {str(e_diag)[:500]}")
finally:
if os.path.exists(diagnostic_script_path): os.remove(diagnostic_script_path)
unirig_device_arg = "device=cpu"
if DEVICE.type == 'cuda':
unirig_device_arg = "device=cuda:0"
print(f"UniRig steps will attempt to use device argument: {unirig_device_arg}")
print("\nStarting Step 1: Predicting Skeleton...")
skeleton_args = [
"--config-name=skeleton_config", "with",
f"input={abs_input_glb_path}",
f"output={abs_skeleton_output_path}",
unirig_device_arg
]
run_unirig_command(unirig_script_to_run, skeleton_args, "Skeleton Prediction")
if not os.path.exists(abs_skeleton_output_path):
raise gr.Error("Skeleton prediction failed. Output file not created.")
print("Step 1: Skeleton Prediction completed.")
print("\nStarting Step 2: Predicting Skinning Weights...")
skin_args = [
"--config-name=skin_config", "with",
f"input={abs_skeleton_output_path}",
f"output={abs_skin_output_path}",
unirig_device_arg
]
run_unirig_command(unirig_script_to_run, skin_args, "Skinning Prediction")
if not os.path.exists(abs_skin_output_path):
raise gr.Error("Skinning prediction failed. Output file not created.")
print("Step 2: Skinning Prediction completed.")
print("\nStarting Step 3: Merging Results...")
merge_args = [
"--config-name=merge_config", "with",
f"source_path={abs_skin_output_path}",
f"target_path={abs_input_glb_path}",
f"output_path={abs_final_rigged_glb_path}",
"mode=skin",
unirig_device_arg
]
run_unirig_command(unirig_script_to_run, merge_args, "Merging Results")
if not os.path.exists(abs_final_rigged_glb_path):
raise gr.Error("Merging process failed. Final rigged GLB file not created.")
print("Step 3: Merging completed.")
print(f"Successfully generated rigged model: {abs_final_rigged_glb_path}")
return gr.update(value=abs_final_rigged_glb_path)
except gr.Error as e:
print(f"A Gradio Error occurred: {e}")
if os.path.exists(processing_temp_dir): shutil.rmtree(processing_temp_dir)
raise e # Re-raise Gradio errors to be displayed in UI
except Exception as e:
print(f"An unexpected error occurred in rig_glb_mesh_multistep: {e}")
import traceback; traceback.print_exc()
if os.path.exists(processing_temp_dir): shutil.rmtree(processing_temp_dir)
raise gr.Error(f"An unexpected error occurred: {str(e)[:500]}. Check logs for details.")
finally:
if os.path.exists(processing_temp_dir):
try:
shutil.rmtree(processing_temp_dir)
print(f"Cleaned up temp dir: {processing_temp_dir}")
except Exception as cleanup_e:
print(f"Error cleaning up temp dir {processing_temp_dir}: {cleanup_e}")
theme = gr.themes.Soft(
primary_hue=gr.themes.colors.sky,
secondary_hue=gr.themes.colors.blue,
neutral_hue=gr.themes.colors.slate,
font=[gr.themes.GoogleFont("Inter"), "ui-sans-serif", "system-ui", "sans-serif"],
)
startup_error_message = None
if not blender_executable_to_use:
startup_error_message = (f"CRITICAL STARTUP ERROR: Blender executable could not be located or setup failed. Check logs. Expected at {BLENDER_EXEC}")
elif not unirig_repo_ok:
startup_error_message = (f"CRITICAL STARTUP ERROR: UniRig repository not found at {UNIRIG_REPO_DIR}.")
elif not unirig_run_py_ok:
startup_error_message = (f"CRITICAL STARTUP ERROR: UniRig run.py not found at {UNIRIG_RUN_PY}.")
if startup_error_message:
print(startup_error_message)
with gr.Blocks(theme=theme) as iface:
gr.Markdown(f"# Application Startup Error\n\n{startup_error_message}\n\nPlease check the Space logs for more details.")
else:
with gr.Blocks(theme=theme) as iface:
gr.Markdown(
f"""
# UniRig Auto-Rigger (Blender {BLENDER_PYTHON_VERSION_DIR} / Python {BLENDER_PYTHON_VERSION})
Upload a 3D mesh in `.glb` format. This application uses UniRig via Blender's Python interface to predict skeleton and skinning weights.
* Running main app on Python `{sys.version.split()[0]}`, UniRig steps use Blender's Python `{BLENDER_PYTHON_VERSION}`.
* Utilizing device: **{DEVICE.type.upper()}** (via ZeroGPU if available).
* Blender executable: `{blender_executable_to_use}`.
* UniRig Source: [https://github.com/VAST-AI-Research/UniRig](https://github.com/VAST-AI-Research/UniRig)
"""
)
with gr.Row():
with gr.Column(scale=1):
input_model = gr.File(
label="Upload .glb Mesh File",
type="filepath", # Returns a string path to a temporary copy
file_types=[".glb"]
)
submit_button = gr.Button("Rig Model", variant="primary")
with gr.Column(scale=2):
output_model = gr.Model3D(
label="Rigged 3D Model (.glb)",
clear_color=[0.8, 0.8, 0.8, 1.0],
)
submit_button.click(
fn=rig_glb_mesh_multistep,
inputs=[input_model],
outputs=[output_model]
)
if __name__ == "__main__":
if 'iface' in locals():
print("Launching Gradio interface...")
iface.launch(share=False, ssr_mode=False)
else:
print("ERROR: Gradio interface could not be created due to startup errors. Check logs above.")
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