Update app.py

app.py

@@ -10,7 +10,7 @@ os.mkdir("outputs")
 
 
 def inference(truncation,seeds):
-  os.system("python gen_images.py --outdir=./outputs/ --trunc="+str(truncation)+" --seeds="+str(int(seeds))+" --network=https://s3.eu-central-1.amazonaws.com/avg-projects/projected_gan/models/pokemon.pkl")
+  os.system("python gen_images.py --outdir=./outputs/ --seeds="+str(int(seeds))+" --network=https://s3.eu-central-1.amazonaws.com/avg-projects/projected_gan/models/pokemon.pkl")
   seeds = int(seeds)
   image = Image.open(f"./outputs/seed{seeds:04d}.png")
   return image
@@ -20,6 +20,6 @@ description = "Gradio demo for Projected GAN. To use it, add seed and truncation
 
 article = "<p style='text-align: center'><a href='http://www.cvlibs.net/publications/Sauer2021NEURIPS.pdf' target='_blank'>Projected GANs Converge Faster</a> | <a href='https://github.com/autonomousvision/projected_gan' target='_blank'>Github Repo</p><center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_projected_gan' alt='visitor badge'></center>"
 
-gr.Interface(inference,[gr.inputs.Slider(label="truncation",minimum=0, maximum=5, step=0.1, default=0.8),gr.inputs.Slider(label="Seed",minimum=0, maximum=1000, step=1, default=0)],"pil",title=title,description=description,article=article, examples=[
-    [0.8,0]
+gr.Interface(inference,gr.inputs.Slider(label="Seed",minimum=0, maximum=1000, step=1, default=0),"pil",title=title,description=description,article=article, examples=[
+    [42]
     ]).launch(enable_queue=True,cache_examples=True)