Create modal_demo.txt

modal_demo.txt

@@ -0,0 +1,40 @@
+
+import modal
+
+app = modal.App("gradio-app")
+web_image = modal.Image.debian_slim(python_version="3.12").pip_install(
+    "fastapi[standard]==0.115.4",
+    "gradio~=5.7.1",
+    "pillow~=10.2.0",
+)
+
+@app.function(
+    image=web_image,
+    min_containers=1,
+    scaledown_window=60 * 20,
+    # gradio requires sticky sessions
+    # so we limit the number of concurrent containers to 1
+    # and allow it to scale to 100 concurrent inputs
+    max_containers=1,
+)
+@modal.concurrent(max_inputs=100)
+@modal.asgi_app()
+def ui():
+
+    import gradio as gr
+    from fastapi import FastAPI
+    from gradio.routes import mount_gradio_app
+    import time
+
+    def greet(name, intensity):
+        time.sleep(5)  # Simulating processing time
+        return "Hello, " + name + "!" * int(intensity)
+
+    demo = gr.Interface(
+        fn=greet,
+        inputs=["text", "slider"],
+        outputs=["text"],
+    )
+    demo.queue(max_size=5)  # Enable queue for handling multiple request
+
+    return mount_gradio_app(app=FastAPI(), blocks=demo, path="/")