Update app.py

app.py

@@ -15,35 +15,6 @@ os.environ["PIXEL3DMM_CODE_BASE"] = f"{os.getcwd()}"
 os.environ["PIXEL3DMM_PREPROCESSED_DATA"] = f"{os.getcwd()}/proprocess_results"
 os.environ["PIXEL3DMM_TRACKING_OUTPUT"] = f"{os.getcwd()}/tracking_results"
 
-
-def sh(cmd): subprocess.check_call(cmd, shell=True)
-
-# only do this once per VM restart
-sh("pip install -e .")
-sh("cd src/pixel3dmm/preprocessing/facer && pip install -e .")
-sh("cd src/pixel3dmm/preprocessing/PIPNet/FaceBoxesV2/utils && sh make.sh")
-
-
-def install_cuda_toolkit():
-    CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.1.0/local_installers/cuda_12.1.0_530.30.02_linux.run"
-    CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
-    subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
-    subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
-    subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])
-
-    os.environ["CUDA_HOME"] = "/usr/local/cuda"
-    os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
-    os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
-        os.environ["CUDA_HOME"],
-        "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
-    )
-    # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
-    os.environ["TORCH_CUDA_ARCH_LIST"] = "9.0"
-    print("==> finished installation")
-    
-
-install_cuda_toolkit()
-
 # Utility to select first image from a folder
 def first_image_from_dir(directory):
     patterns = ["*.jpg", "*.png", "*.jpeg"]
@@ -73,7 +44,7 @@ def reset_all():
 @spaces.GPU()
 def preprocess_image(image_array, state):
     if image_array is None:
-        return "❌ Please upload an image first.", None, state, gr.update(interactive=True), gr.update(interactive=True)
+        return "❌ Please upload an image first.", None, state, gr.update(interactive=True), gr.update(interactive=False)
 
     session_id = str(uuid.uuid4())
     base_dir = os.path.join(os.environ["PIXEL3DMM_PREPROCESSED_DATA"], session_id)
@@ -96,14 +67,14 @@ def preprocess_image(image_array, state):
 
     crop_dir = os.path.join(base_dir, "cropped")
     image = first_image_from_dir(crop_dir)
-    return "✅ Step 1 complete. Ready for Normals.", image, state, gr.update(interactive=True), gr.update(interactive=True)
+    return "✅ Step 1 complete. Ready for Normals.", image, state, gr.update(interactive=False), gr.update(interactive=True)
 
 # Step 2: Normals inference → normals image
 @spaces.GPU()
 def step2_normals(state):
     session_id = state.get("session_id")
     if not session_id:
-        return "❌ State lost. Please start from Step 1.", None, state, gr.update(interactive=True), gr.update(interactive=False)
+        return "❌ State lost. Please start from Step 1.", None, state, gr.update(interactive=False), gr.update(interactive=False)
 
     try:
         p = subprocess.run([
@@ -115,14 +86,14 @@ def step2_normals(state):
 
     normals_dir = os.path.join(state["base_dir"], "p3dmm", "normals")
     image = first_image_from_dir(normals_dir)
-    return "✅ Step 2 complete. Ready for UV Map.", image, state, gr.update(interactive=True), gr.update(interactive=True)
+    return "✅ Step 2 complete. Ready for UV Map.", image, state, gr.update(interactive=False), gr.update(interactive=True)
 
 # Step 3: UV map inference → uv map image
 @spaces.GPU()
 def step3_uv_map(state):
     session_id = state.get("session_id")
     if not session_id:
-        return "❌ State lost. Please start from Step 1.", None, state, gr.update(interactive=True), gr.update(interactive=True)
+        return "❌ State lost. Please start from Step 1.", None, state, gr.update(interactive=False), gr.update(interactive=False)
 
     try:
         p = subprocess.run([
@@ -134,14 +105,14 @@ def step3_uv_map(state):
 
     uv_dir = os.path.join(state["base_dir"], "p3dmm", "uv_map")
     image = first_image_from_dir(uv_dir)
-    return "✅ Step 3 complete. Ready for Tracking.", image, state, gr.update(interactive=True), gr.update(interactive=True)
+    return "✅ Step 3 complete. Ready for Tracking.", image, state, gr.update(interactive=False), gr.update(interactive=True)
 
 # Step 4: Tracking → final tracking image
 @spaces.GPU()
 def step4_track(state):
     session_id = state.get("session_id")
     if not session_id:
-        return "❌ State lost. Please start from Step 1.", None, state, gr.update(interactive=True)
+        return "❌ State lost. Please start from Step 1.", None, state, gr.update(interactive=False)
 
     script = os.path.join(os.environ["PIXEL3DMM_CODE_BASE"], "scripts", "track.py")
     try:
@@ -154,7 +125,7 @@ def step4_track(state):
 
     tracking_dir = os.path.join(os.environ["PIXEL3DMM_TRACKING_OUTPUT"], session_id, "frames")
     image = first_image_from_dir(tracking_dir)
-    return "✅ Pipeline complete!", image, state, gr.update(interactive=True)
+    return "✅ Pipeline complete!", image, state, gr.update(interactive=False)
 
 # Build Gradio UI
 demo = gr.Blocks()