syntax

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import replicate
+import time
 
 
 DEPLOYMENT_URIS = {
@@ -10,28 +11,32 @@ DEPLOYMENT_URIS = {
 
 
 def generate_image(model_selection, lora_scale, guidance_scale, prompt_strength, num_steps, prompt):
-    deployment_uri = DEPLOYMENT_URIS[model_selection]
-    deployment = replicate.deployments.get(deployment_uri)
+    # deployment_uri = DEPLOYMENT_URIS[model_selection]
+    # deployment = replicate.deployments.get(deployment_uri)
+    #
+    # prediction = deployment.predictions.create(
+    #     input={
+    #         "model": "dev",
+    #         "lora_scale": lora_scale,
+    #         "num_outputs": 1,
+    #         "aspect_ratio": "1:1",
+    #         "output_format": "webp",
+    #         "guidance_scale": guidance_scale,
+    #         "output_quality": 90,
+    #         "prompt_strength": prompt_strength,
+    #         "extra_lora_scale": 1,
+    #         "num_inference_steps": num_steps,
+    #         "prompt": prompt
+    #     }
+    # )
     
-    prediction = deployment.predictions.create(
-        input={
-            "model": "dev",
-            "lora_scale": lora_scale,
-            "num_outputs": 1,
-            "aspect_ratio": "1:1",
-            "output_format": "webp",
-            "guidance_scale": guidance_scale,
-            "output_quality": 90,
-            "prompt_strength": prompt_strength,
-            "extra_lora_scale": 1,
-            "num_inference_steps": num_steps,
-            "prompt": prompt
-        }
-    )
-    
-    prediction.wait()
-    output = prediction.output
-    image_url = output[0] if output else None
+    # prediction.wait()
+    # output = prediction.output
+    # image_url = output[0] if output else None
+
+    time.sleep(20)
+    image_url = "https://external-content.duckduckgo.com/iu/?u=https%3A%2F%2Fi1.sndcdn.com%2Fartworks-000207677710-z7mg8u-t500x500.jpg&f=1&nofb=1&ipt=54d62f19e1816c166bec632275277c4118a940853b2cd93d1c673ea487d9dfee&ipo=images"
+
     return image_url