.

app.py

@@ -1,13 +1,4 @@
-import gradio as gr
-def update(name):
-    return f"Welcome to Gradio, {name}!"
+import uvicorn
 
-with gr.Blocks() as demo:
-    gr.Markdown("Start typing below and then click **Run** to see the output.")
-    with gr.Row():
-        inp = gr.Textbox(placeholder="What is your name?")
-        out = gr.Textbox()
-    btn = gr.Button("Run")
-    btn.click(fn=update, inputs=inp, outputs=out)
-
-demo.launch()
+if __name__ == "__main__":
+    uvicorn.run("main:app", host="127.0.0.1", port=7860, reload=True)

client.py

@@ -1,13 +0,0 @@
-import requests
-
-# Replace this with the URL of your Hugging Face Space
-api_url = "https://huggingface.co/spaces/iceberg0142/test/gradio"
-
-# Define the input data
-input_data = {"input": "Hello, Hugging Face!"}
-
-# Make a POST request to the Space
-response = requests.get(api_url)
-
-# Print the response
-print(response)

main.py

@@ -0,0 +1,14 @@
+from fastapi import FastAPI
+import gradio as gr
+
+app = FastAPI()
+
+@app.get("/predict")
+def read_main():
+    return {"message": "This is your main app"}
+    
+io = gr.Interface(lambda x: "Hello, " + x + "!", "textbox", "textbox")
+app = gr.mount_gradio_app(app, io, path="/")
+
+# # Launch the app (which will be hosted on Hugging Face Spaces)
+# io.launch()

run.py

@@ -1,4 +0,0 @@
-import uvicorn
-
-if __name__ == "__main__":
-    uvicorn.run("app:app", host="127.0.0.1", port=8000, reload=True)