Updated debug to True

app.py

@@ -1,67 +1,67 @@
-import gradio as gr
-from gradio_client import Client
-
-# Connect to the Qwen-Image-Fast model
-client = Client("multimodalart/Qwen-Image-Fast")
-
-# Function to generate images
-def generate_image(
-    prompt,
-    seed=0,
-    randomize_seed=True,
-    aspect_ratio="16:9",
-    guidance_scale=1,
-    num_inference_steps=8,
-    prompt_enhance=True,
-):
-    if not prompt.strip():
-        return None, "⚠️ Please enter a prompt."
-
-    try:
-        result = client.predict(
-            prompt=prompt,
-            seed=seed,
-            randomize_seed=randomize_seed,
-            aspect_ratio=aspect_ratio,
-            guidance_scale=guidance_scale,
-            num_inference_steps=num_inference_steps,
-            prompt_enhance=prompt_enhance,
-            api_name="/infer",
-        )
-        img_info, seed_out = result
-        return img_info["url"], f"✅ Image generated! (Seed: {seed_out})"
-    except Exception as e:
-        return None, f"❌ Error: {str(e)}"
-
-
-# Build Gradio app
-with gr.Blocks(title="Qwen Image Generator") as demo:
-    gr.Markdown("## 🎨 Qwen Image Generator\nEnter a **prompt** and customize settings if needed.")
-
-    with gr.Row():
-        prompt_input = gr.Textbox(label="Prompt", placeholder="Enter your prompt...", lines=2)
-
-    with gr.Accordion("⚙️ Customization (Optional)", open=False):
-        seed = gr.Number(label="Seed (default: 0)", value=0)
-        randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
-        aspect_ratio = gr.Radio(
-            ["1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3"],
-            label="Aspect Ratio",
-            value="16:9"
-        )
-        guidance_scale = gr.Slider(1, 10, value=1, step=1, label="Guidance Scale (CFG)")
-        num_inference_steps = gr.Slider(1, 50, value=8, step=1, label="Number of Inference Steps")
-        prompt_enhance = gr.Checkbox(label="Prompt Enhance", value=True)
-
-    generate_btn = gr.Button("🚀 Generate Image")
-    output_img = gr.Image(label="Generated Image")
-    status = gr.Textbox(label="Status", interactive=False)
-
-    generate_btn.click(
-        fn=generate_image,
-        inputs=[prompt_input, seed, randomize_seed, aspect_ratio, guidance_scale, num_inference_steps, prompt_enhance],
-        outputs=[output_img, status]
-    )
-
-if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0",server_port=7860,pwa=True)
+import gradio as gr
+from gradio_client import Client
+
+# Connect to the Qwen-Image-Fast model
+client = Client("multimodalart/Qwen-Image-Fast")
+
+# Function to generate images
+def generate_image(
+    prompt,
+    seed=0,
+    randomize_seed=True,
+    aspect_ratio="16:9",
+    guidance_scale=1,
+    num_inference_steps=8,
+    prompt_enhance=True,
+):
+    if not prompt.strip():
+        return None, "⚠️ Please enter a prompt."
+
+    try:
+        result = client.predict(
+            prompt=prompt,
+            seed=seed,
+            randomize_seed=randomize_seed,
+            aspect_ratio=aspect_ratio,
+            guidance_scale=guidance_scale,
+            num_inference_steps=num_inference_steps,
+            prompt_enhance=prompt_enhance,
+            api_name="/infer",
+        )
+        img_info, seed_out = result
+        return img_info["url"], f"✅ Image generated! (Seed: {seed_out})"
+    except Exception as e:
+        return None, f"❌ Error: {str(e)}"
+
+
+# Build Gradio app
+with gr.Blocks(title="Qwen Image Generator") as demo:
+    gr.Markdown("## 🎨 Qwen Image Generator\nEnter a **prompt** and customize settings if needed.")
+
+    with gr.Row():
+        prompt_input = gr.Textbox(label="Prompt", placeholder="Enter your prompt...", lines=2)
+
+    with gr.Accordion("⚙️ Customization (Optional)", open=False):
+        seed = gr.Number(label="Seed (default: 0)", value=0)
+        randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
+        aspect_ratio = gr.Radio(
+            ["1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3"],
+            label="Aspect Ratio",
+            value="16:9"
+        )
+        guidance_scale = gr.Slider(1, 10, value=1, step=1, label="Guidance Scale (CFG)")
+        num_inference_steps = gr.Slider(1, 50, value=8, step=1, label="Number of Inference Steps")
+        prompt_enhance = gr.Checkbox(label="Prompt Enhance", value=True)
+
+    generate_btn = gr.Button("🚀 Generate Image")
+    output_img = gr.Image(label="Generated Image")
+    status = gr.Textbox(label="Status", interactive=False)
+
+    generate_btn.click(
+        fn=generate_image,
+        inputs=[prompt_input, seed, randomize_seed, aspect_ratio, guidance_scale, num_inference_steps, prompt_enhance],
+        outputs=[output_img, status]
+    )
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0",server_port=7860,pwa=True,debub=True)