revert back to 2.9.4

README.md

@@ -4,7 +4,7 @@ emoji: 👁
 colorFrom: red
 colorTo: blue
 sdk: gradio
-sdk_version: 2.9b40
+sdk_version: 2.9.4
 app_file: app.py
 pinned: false
 license: mit

app.py

@@ -76,7 +76,7 @@ perceptor = (
     .requires_grad_(False)
     .to(device)
 )
-def run_all(user_input,  width, height, template, num_steps, flavor, markdown):
+def run_all(user_input,  width, height, template, num_steps, flavor):
     import random
     #if uploaded_file is not None:
         #uploaded_folder = f"{DefaultPaths.root_path}/uploaded"
@@ -2326,17 +2326,17 @@ def run_all(user_input,  width, height, template, num_steps, flavor, markdown):
 
 ##################### START GRADIO HERE ############################
 image = gr.outputs.Image(type="pil", label="Your result")
-def cvt_2_base64(file_name):
-    with open(file_name , "rb") as image_file :
-        data = base64.b64encode(image_file.read())
-    return data.decode('utf-8')
-base64image = "data:image/jpg;base64,"+cvt_2_base64('flavors.jpg')
-markdown = gr.Markdown("<img src='"+base64image+"' />")
-def test(raw_input):
-    pass
-setattr(markdown, "requires_permissions", False)
-setattr(markdown, "label", "Flavors")
-setattr(markdown, "preprocess", test)
+#def cvt_2_base64(file_name):
+#    with open(file_name , "rb") as image_file :
+#        data = base64.b64encode(image_file.read())
+#    return data.decode('utf-8')
+#base64image = "data:image/jpg;base64,"+cvt_2_base64('flavors.jpg')
+#markdown = gr.Markdown("<img src='"+base64image+"' />")
+#def test(raw_input):
+#    pass
+#setattr(markdown, "requires_permissions", False)
+#setattr(markdown, "label", "Flavors")
+#setattr(markdown, "preprocess", test)
 iface = gr.Interface(
     fn=run_all, 
     inputs=[
@@ -2345,8 +2345,8 @@ iface = gr.Interface(
     gr.inputs.Slider(label="Height", default=256, minimum=32, step=32, maximum=512),
     gr.inputs.Dropdown(label="Style - Hyper Fast Results is fast but compromises a bit of the quality",choices=["Default","Balanced","Detailed","Consistent Creativity","Realistic","Smooth","Subtle MSE","Hyper Fast Results"],default="Hyper Fast Results"),
     gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate. All styles that are not Hyper Fast need at least 200 steps",default=50,maximum=300,minimum=1,step=1),
-    gr.inputs.Dropdown(label="Flavor - pick a flavor for the style of the images, based on the images below",choices=["ginger", "cumin", "holywater", "zynth", "wyvern", "aaron", "moth", "juu"]),
-    markdown
+    gr.inputs.Dropdown(label="Flavor - pick a flavor for the style of the images",choices=["ginger", "cumin", "holywater", "zynth", "wyvern", "aaron", "moth", "juu"]),
+    #markdown
     ], 
     outputs=image,
     title="Generate images from text with VQGAN+CLIP (Hypertron v2)",