Create app.py

app.py

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+import gradio as gr
+
+caption = gr.Blocks.load(name="spaces/SRDdev/Image-Caption")
+audio_gen = gr.Blocks.load(name="spaces/haoheliu/audioldm-text-to-audio-generation")
+
+def infer(image_input):
+    cap = caption(image_input, fn_index=0)
+    sound = audio_gen(cap, 5, 2.5, 45, 3, fn_index=0)
+    return sound
+
+with gr.Blocks(css="style.css") as demo:
+    with gr.Column(elem_id="col-container"):
+        
+        gr.HTML("""<div style="text-align: center; max-width: 700px; margin: 0 auto;">
+                <div
+                style="
+                    display: inline-flex;
+                    align-items: center;
+                    gap: 0.8rem;
+                    font-size: 1.75rem;
+                "
+                >
+                <h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
+                    Image to Sound Effect
+                </h1>
+                </div>
+                <p style="margin-bottom: 10px; font-size: 94%">
+                description
+                </p>
+            </div>""")
+    
+        input_img = gr.Image(type="filepath", elem_id="input-img")
+        sound_output = gr.Video(label="Result", elem_id="sound-output")
+        
+        generate = gr.Button("Generate Music from Image")
+    
+    generate.click(infer, inputs=[input_img], outputs=[sound_output], api_name="i2m")
+
+demo.queue(max_size=32, concurrency_count=20).launch()