just can pass gradio things, check first

app.py

@@ -4,8 +4,8 @@ import replicate
 DEPLOYMENT_URI = "dd-ds-ai/lora-test-01-deployment-test"
 
 
-def generate_image(deployment_uri, lora_scale, guidance_scale, prompt_strength, num_steps, prompt):
-    deployment = replicate.deployments.get(deployment_uri)
+def generate_image(lora_scale, guidance_scale, prompt_strength, num_steps, prompt):
+    deployment = replicate.deployments.get(DEPLOYMENT_URI)
     prediction = deployment.predictions.create(
         input={
             "model": "dev",
@@ -40,7 +40,7 @@ def create_gradio_interface():
     # Gradio Interface
     interface = gr.Interface(
         fn=generate_image,  # Die Funktion, die aufgerufen wird
-        inputs=[DEPLOYMENT_URI, lora_scale, guidance_scale, prompt_strength, num_steps, prompt],  # Eingaben
+        inputs=[lora_scale, guidance_scale, prompt_strength, num_steps, prompt],  # Eingaben
         outputs=gr.Image(label="Generated Image"),  # Ausgabe als Bild
     )