Combine frontend and backend into single app.py

app.py

@@ -1,5 +1,93 @@
 import gradio as gr
-from frontend import demo
+import requests
+import os
+from fastapi import FastAPI
+from pydantic import BaseModel
+from fastapi.middleware.cors import CORSMiddleware
 
+# Create FastAPI app
+app = FastAPI()
+
+# Add CORS middleware
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+class CalculatorInput(BaseModel):
+    num1: float
+    num2: float
+    operation: str
+
+class CalculatorResponse(BaseModel):
+    result: float
+    operation: str
+
+@app.post("/calculate", response_model=CalculatorResponse)
+async def calculate(input_data: CalculatorInput):
+    result = 0.0
+    
+    if input_data.operation == "add":
+        result = input_data.num1 + input_data.num2
+    elif input_data.operation == "subtract":
+        result = input_data.num1 - input_data.num2
+    elif input_data.operation == "multiply":
+        result = input_data.num1 * input_data.num2
+    elif input_data.operation == "divide":
+        if input_data.num2 == 0:
+            raise ValueError("Cannot divide by zero")
+        result = input_data.num1 / input_data.num2
+    else:
+        raise ValueError("Invalid operation")
+    
+    return CalculatorResponse(result=result, operation=input_data.operation)
+
+# Create Gradio interface
+def calculate_interface(num1: float, num2: float, operation: str) -> str:
+    try:
+        # Use the same URL as the frontend
+        backend_url = os.getenv("BACKEND_URL", "https://setiyanikhil3-calculator-app.hf.space")
+        response = requests.post(
+            f"{backend_url}/calculate",
+            json={
+                "num1": num1,
+                "num2": num2,
+                "operation": operation
+            }
+        )
+        response.raise_for_status()
+        result = response.json()
+        return f"Result: {result['result']}"
+    except requests.exceptions.RequestException as e:
+        return f"Error: {str(e)}"
+
+# Create the Gradio interface
+with gr.Blocks(title="Calculator") as demo:
+    gr.Markdown("# Calculator")
+    with gr.Row():
+        num1 = gr.Number(label="First Number")
+        num2 = gr.Number(label="Second Number")
+    
+    with gr.Row():
+        operation = gr.Radio(
+            choices=["add", "subtract", "multiply", "divide"],
+            label="Operation",
+            value="add"
+        )
+    
+    with gr.Row():
+        calculate_btn = gr.Button("Calculate")
+        result = gr.Textbox(label="Result")
+    
+    calculate_btn.click(
+        fn=calculate_interface,
+        inputs=[num1, num2, operation],
+        outputs=result
+    )
+
+# Launch the app
 if __name__ == "__main__":
     demo.launch(server_name="0.0.0.0", server_port=7860) 

backend.py

@@ -1,46 +0,0 @@
-from fastapi import FastAPI
-from pydantic import BaseModel
-from fastapi.middleware.cors import CORSMiddleware
-
-app = FastAPI()
-
-# Add CORS middleware
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-class CalculatorInput(BaseModel):
-    num1: float
-    num2: float
-    operation: str
-
-class CalculatorResponse(BaseModel):
-    result: float
-    operation: str
-
-@app.post("/calculate", response_model=CalculatorResponse)
-async def calculate(input_data: CalculatorInput):
-    result = 0.0
-    
-    if input_data.operation == "add":
-        result = input_data.num1 + input_data.num2
-    elif input_data.operation == "subtract":
-        result = input_data.num1 - input_data.num2
-    elif input_data.operation == "multiply":
-        result = input_data.num1 * input_data.num2
-    elif input_data.operation == "divide":
-        if input_data.num2 == 0:
-            raise ValueError("Cannot divide by zero")
-        result = input_data.num1 / input_data.num2
-    else:
-        raise ValueError("Invalid operation")
-    
-    return CalculatorResponse(result=result, operation=input_data.operation)
-
-if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=8000) 

frontend.py

@@ -1,50 +0,0 @@
-import gradio as gr
-import requests
-import os
-
-# Get the backend URL from environment variable or use localhost as fallback
-BACKEND_URL = os.getenv("BACKEND_URL", "http://localhost:8000")
-
-def calculate(num1: float, num2: float, operation: str) -> str:
-    try:
-        response = requests.post(
-            f"{BACKEND_URL}/calculate",
-            json={
-                "num1": num1,
-                "num2": num2,
-                "operation": operation
-            }
-        )
-        response.raise_for_status()
-        result = response.json()
-        return f"Result: {result['result']}"
-    except requests.exceptions.RequestException as e:
-        return f"Error: {str(e)}"
-
-# Create the Gradio interface
-with gr.Blocks(title="Calculator") as demo:
-    gr.Markdown("# Calculator")
-    with gr.Row():
-        num1 = gr.Number(label="First Number")
-        num2 = gr.Number(label="Second Number")
-    
-    with gr.Row():
-        operation = gr.Radio(
-            choices=["add", "subtract", "multiply", "divide"],
-            label="Operation",
-            value="add"
-        )
-    
-    with gr.Row():
-        calculate_btn = gr.Button("Calculate")
-        result = gr.Textbox(label="Result")
-    
-    calculate_btn.click(
-        fn=calculate,
-        inputs=[num1, num2, operation],
-        outputs=result
-    )
-
-# For Hugging Face Spaces
-if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)