Back e Front

app.py

@@ -1,10 +1,33 @@
 import gradio as gr
 import requests
+from fastapi import FastAPI
+from pydantic import BaseModel
+from typing import Optional
 
 # URL do nosso backend FastAPI.
 # Usamos 127.0.0.1 (localhost) porque ambos os processos rodarão na mesma máquina/container.
 BACKEND_URL = "http://127.0.0.1:8000"
 
+# --- Backend FastAPI ---
+app = FastAPI()
+
+class Item(BaseModel):
+    name: str
+    description: Optional[str] = None
+    price: float
+
+@app.get("/")
+def read_root():
+    return {"message": "Olá do Backend FastAPI!"}
+
+@app.get("/hello/{name}")
+def read_hello(name: str):
+    return {"message": f"Olá, {name}! Bem-vindo(a)!"}
+
+@app.post("/items/")
+def create_api_item(item: Item):
+    return item
+
 # --- Frontend Gradio ---
 def get_root_message():
     """Chama o endpoint GET / via HTTP"""
@@ -108,6 +131,6 @@ with gr.Blocks(title="FastAPI + Gradio Integrado") as demo:
     gr.Markdown("---")
     gr.Markdown("### 🔧 Desenvolvido com Gradio (Frontend) + FastAPI (Backend)")
 
-# --- Para funcionar no Hugging Face Spaces ---
-if __name__ == "__main__":
-    demo.launch()
+# Monta a interface Gradio na aplicação FastAPI.
+# A plataforma do Hugging Face Spaces detectará o objeto 'app' e o executará com um servidor ASGI (Uvicorn).
+app = gr.mount_gradio_app(app, demo, path="/")