Update app.py

app.py

@@ -1,18 +1,23 @@
-#model1 = gr.load("models/pimpilikipilapi1/NSFW_master")
-#model2 = gr.load("models/DiegoJR1973/NSFW-TrioHMH-Flux")
-#model3 = gr.load("models/prashanth970/flux-lora-uncensored")
-
 import gradio as gr
 
 
-model1 = gr.load("models/pimpilikipilapi1/NSFW_master")
-model2 = gr.load("models/prashanth970/flux-lora-uncensored")
+model1 = gr.load("models/Jonny001/NSFW_master")
+model2 = gr.load("models/xey/sldr_flux_nsfw_v2-studio")
+model3 = gr.load("models/lexa862/NSFWmodel")
+model4 = gr.load("models/Keltezaa/flux_pussy_NSFW")
+model5 = gr.load("models/prashanth970/flux-lora-uncensored")
 
 def generate_images(text, selected_model):
     if selected_model == "Model 1 (NSFW Master)":
         model = model1
-    elif selected_model == "Model 2 (Flux Lora Uncensored)":
+    elif selected_model == "Model 2 (Sldr Flux NSFW)":
         model = model2
+    elif selected_model == "Model 3 (Lexa NSFW)":
+        model = model3
+    elif selected_model == "Model 4 (Flux NSFW)":
+        model = model4
+    elif selected_model == "Model 4 (Lora Uncensored)":
+        model = model5
     else:
         return "Invalid model selection."
     
@@ -29,9 +34,9 @@ interface = gr.Interface(
     inputs=[
         gr.Textbox(label="Type here your imagination:", placeholder="Type your prompt..."),
         gr.Radio(
-            ["Model 1 (NSFW Master)", "Model 2 (Flux Lora Uncensored)"],
-            label="Select Model",
-            value="Model 2 (Flux Lora Uncensored)",
+            ["Model 1 (NSFW Master)", "Model 2 (Sldr Flux NSFW)", "Model 3 (Lexa NSFW)", "Model 4 (Flux NSFW)", "Model 5 (Lora Uncensored)"],
+            label="Select Model (Try All Models & Get Different Results)",
+            value="Model 1 (NSFW Master)",
         ),
     ],
     outputs=[
@@ -41,6 +46,7 @@ interface = gr.Interface(
     ],
     theme="Yntec/HaleyCH_Theme_Orange",
     description="⚠ Sorry for the inconvenience. The models are currently running on the CPU, which might affect performance. We appreciate your understanding.",
+    cache_examples=False,
 )
 
 interface.launch()