Use gr.on

README.md

@@ -4,7 +4,7 @@ emoji: 📚
 colorFrom: purple
 colorTo: green
 sdk: gradio
-sdk_version: 3.44.4
+sdk_version: 3.45.2
 app_file: app.py
 pinned: false
 license: mit

app.py

@@ -174,18 +174,8 @@ with gr.Blocks(css="style.css") as demo:
         cache_examples=CACHE_EXAMPLES,
     )
 
-    inputs = [
-        prompt,
-        negative_prompt,
-        seed,
-        width,
-        height,
-        guidance_scale_prior,
-        guidance_scale,
-        num_inference_steps_prior,
-        num_inference_steps,
-    ]
-    prompt.submit(
+    gr.on(
+        triggers=[prompt.submit, negative_prompt.submit, run_button.click],
         fn=randomize_seed_fn,
         inputs=[seed, randomize_seed],
         outputs=seed,
@@ -193,34 +183,20 @@ with gr.Blocks(css="style.css") as demo:
         api_name=False,
     ).then(
         fn=generate,
-        inputs=inputs,
+        inputs=[
+            prompt,
+            negative_prompt,
+            seed,
+            width,
+            height,
+            guidance_scale_prior,
+            guidance_scale,
+            num_inference_steps_prior,
+            num_inference_steps,
+        ],
         outputs=result,
         api_name="run",
     )
-    negative_prompt.submit(
-        fn=randomize_seed_fn,
-        inputs=[seed, randomize_seed],
-        outputs=seed,
-        queue=False,
-        api_name=False,
-    ).then(
-        fn=generate,
-        inputs=inputs,
-        outputs=result,
-        api_name=False,
-    )
-    run_button.click(
-        fn=randomize_seed_fn,
-        inputs=[seed, randomize_seed],
-        outputs=seed,
-        queue=False,
-        api_name=False,
-    ).then(
-        fn=generate,
-        inputs=inputs,
-        outputs=result,
-        api_name=False,
-    )
 
 if __name__ == "__main__":
     demo.queue(max_size=20).launch()

requirements.txt

@@ -1,6 +1,7 @@
 accelerate==0.23.0
 diffusers==0.21.2
-gradio==3.44.4
+gradio==3.45.2
+spaces==0.15.0
 torch==2.0.0
 torchvision==0.15.1
 transformers==4.33.2