Update app.py

app.py

@@ -96,6 +96,7 @@ generatorspider = deepcopy(original_generator)
 
 generatorsketch = deepcopy(original_generator)
 
+generatorMy = deepcopy(original_generator)
 
 transform = transforms.Compose(
     [
@@ -161,6 +162,15 @@ modelSketch = hf_hub_download(repo_id="akhaliq/jojogan-sketch", filename="sketch
 ckptsketch = torch.load(modelSketch, map_location=lambda storage, loc: storage)
 generatorsketch.load_state_dict(ckptsketch["g"], strict=False)
 
+
+modelMy = hf_hub_download(repo_id="algomuffin/my_model", filename="my.pt")
+
+ckptMy = torch.load(modelMy, map_location=lambda storage, loc: storage)
+generatorMy.load_state_dict(ckptMy["g"], strict=False)
+
+
+
+
 def inference(img, model):  
     img.save('out.jpg')  
     aligned_face = align_face('out.jpg')
@@ -190,6 +200,9 @@ def inference(img, model):
     elif model == 'Spider-Verse':
         with torch.no_grad():
             my_sample = generatorspider(my_w, input_is_latent=True)
+    elif model == 'My-model':
+        with torch.no_grad():
+            my_sample = generatorMy(my_w, input_is_latent=True)
     else:
         with torch.no_grad():
             my_sample = generatorsketch(my_w, input_is_latent=True)
@@ -205,4 +218,4 @@ description = "Gradio Demo for JoJoGAN: This is a fork made by algomuffin in ord
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.11641' target='_blank'>JoJoGAN: One Shot Face Stylization</a>| <a href='https://github.com/mchong6/JoJoGAN' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_jojogan' alt='visitor badge'></center>"
 
 examples=[['baby-face.jpg','Jinx']]
-gr.Interface(inference, [gr.inputs.Image(type="pil"),gr.inputs.Dropdown(choices=['JoJo', 'Disney','Jinx','Caitlyn','Yasuho','Arcane Multi','Art','Spider-Verse','Sketch'], type="value", default='JoJo', label="Model")], gr.outputs.Image(type="file"),title=title,description=description,article=article,allow_flagging=False,examples=examples,allow_screenshot=False).launch(enable_queue=True, cache_examples=True)
+gr.Interface(inference, [gr.inputs.Image(type="pil"),gr.inputs.Dropdown(choices=['JoJo', 'Disney','Jinx','Caitlyn','Yasuho','Arcane Multi','Art','Spider-Verse','My-model','Sketch'], type="value", default='JoJo', label="Model")], gr.outputs.Image(type="file"),title=title,description=description,article=article,allow_flagging=False,examples=examples,allow_screenshot=False).launch(enable_queue=True, cache_examples=True)