[WEB] Add pillow dependency (huggingface#453)

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>

Signed-off-by: Gaurav Shukla <gaurav@nod-labs.com>

Author: Shukla-Gaurav

setup_venv.ps1

@@ -35,6 +35,6 @@ pip install --pre torch-mlir torch torchvision --extra-index-url https://downloa
 pip install --upgrade -f https://nod-ai.github.io/SHARK-Runtime/pip-release-links.html iree-compiler iree-runtime
 Write-Host "Building SHARK..."
 pip install -e . -f https://llvm.github.io/torch-mlir/package-index/ -f https://nod-ai.github.io/SHARK-Runtime/pip-release-links.html
-pip install diffusers transformers scipy gradio
+pip install diffusers transformers scipy pillow gradio
 Write-Host "Build and installation completed successfully"
 Write-Host "Source your venv with ./shark.venv/Scripts/activate"

web/index.py

@@ -1,8 +1,8 @@
-from models.resnet50 import resnet_inf
-from models.albert_maskfill import albert_maskfill_inf
+# from models.resnet50 import resnet_inf
+# from models.albert_maskfill import albert_maskfill_inf
 from models.stable_diffusion.main import stable_diff_inf
 
-#  from models.diffusion.v_diffusion import vdiff_inf
+# from models.diffusion.v_diffusion import vdiff_inf
 import gradio as gr
 from PIL import Image
 
@@ -205,22 +205,25 @@ def debug_event(debug):
                             384, 768, value=512, step=64, label="Width"
                         )
                     with gr.Row():
-                        precision = gr.Radio(
-                            label="Precision",
-                            value="fp32",
-                            choices=["fp16", "fp32"],
+                        scheduler = gr.Radio(
+                            label="Scheduler",
+                            value="LMS",
+                            choices=["PNDM", "LMS", "DDIM"],
+                            interactive=False,
+                            visible=False,
                         )
                         device = gr.Radio(
                             label="Device",
                             value="vulkan",
                             choices=["cpu", "cuda", "vulkan"],
+                            interactive=False,
+                            visible=False,
                         )
                     with gr.Row():
-                        scheduler = gr.Radio(
-                            label="Scheduler",
-                            value="LMS",
-                            choices=["PNDM", "LMS", "DDIM"],
-                            interactive=False,
+                        precision = gr.Radio(
+                            label="Precision",
+                            value="fp32",
+                            choices=["fp16", "fp32"],
                         )
                         seed = gr.Textbox(
                             value="42", max_lines=1, label="Seed"