Update app.py

app.py

@@ -3,8 +3,8 @@ import gradio as gr
 import requests
 import base64
 from io import BytesIO
-from PIL import Image  # Corrected import
-import random 
+from PIL import Image
+import random
 
 # Get API key from environment variable
 api_key = os.environ.get("NVCF_API_KEY")
@@ -22,8 +22,10 @@ headers = {
 
 # Function to generate image using the API
 def generate_image(prompt, negative_prompt, sampler, seed, guidance_scale, inference_steps):
-    if seed is None or seed == 0:
+    # Validate and adjust seed value
+    if seed is None or seed <= 0 or seed > 4294967296:
         seed = random.randint(1, 4294967296)
+    
     payload = {
         "prompt": prompt,
         "negative_prompt": negative_prompt,
@@ -66,9 +68,9 @@ iface = gr.Interface(
         gr.Textbox(label="Prompt", placeholder="Describe the image you want to generate"),
         gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image"),
         gr.Dropdown(label="Sampler", choices=["DPM", "EulerA", "LMS", "DDIM"], value="DDIM"),
-        gr.Number(label="Seed", value=0),
-        gr.Slider(label="Guidance Scale", minimum=1, maximum=9, value=5),
-        gr.Slider(label="Inference Steps", minimum=5, maximum=100, value=35)
+        gr.Number(label="Seed", value=0, step=1),  # Ensure seed is treated correctly
+        gr.Slider(label="Guidance Scale", minimum=1, maximum=9, value=5, step=1),
+        gr.Slider(label="Inference Steps", minimum=5, maximum=100, value=35, step=1)
     ],
     outputs=gr.Image(label="Generated Image"),
     description = """