Delete app2.py

app2.py

@@ -1,46 +0,0 @@
-import streamlit as st
-from fastapi import FastAPI, File, UploadFile
-from fastapi.middleware.cors import CORSMiddleware
-import uvicorn
-import io
-import pandas as pd
-import threading
-
-# Create FastAPI app
-app = FastAPI()
-
-# Allow public Space to access this private Space API
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],  # You can restrict this to your public Space URL if needed
-    allow_methods=["POST"],
-    allow_headers=["*"],
-)
-
-# Define API endpoint to process files
-@app.post("/run")
-async def process_file(file: UploadFile = File(...)):
-    try:
-        contents = await file.read()
-        df = pd.read_excel(io.BytesIO(contents))
-
-        # Process the file (example: return first few rows)
-        result = df.head().to_dict()
-
-        return {"status": "success", "preview": result}
-
-    except Exception as e:
-        return {"status": "error", "message": str(e)}
-
-# Function to run FastAPI on a separate thread
-def run_fastapi():
-    uvicorn.run(app, host="0.0.0.0", port=7860)
-
-# Start FastAPI in a separate thread
-threading.Thread(target=run_fastapi, daemon=True).start()
-
-# Streamlit UI (For Debugging in Private Space)
-st.title("📐 Math Assignment Optimizer (Private API)")
-st.write("This private Space runs a FastAPI backend.")
-
-st.warning("⚠️ This app is designed to be accessed via API, not directly.")