app.py

from fastapi import FastAPI, Request
import uvicorn

app = FastAPI(title="Simple Uppercase API", description="Convert text to uppercase")

@app.get("/")
async def root():
    return {"message": "Simple Uppercase API is running! Use POST /predict to convert text to uppercase."}

@app.post("/predict")
async def predict(request: Request):
    try:
        body = await request.json()
        uid, question = body.get("data", [None, None])
        
        # Check if we have valid input
        if question is None:
            return {
                "error": "Invalid input format. Expected: {'data': ['uid', 'text_to_convert']}"
            }
        
        # Convert to uppercase
        result = question.upper()
        
        return {
            "uid": uid,
            "original_text": question,
            "uppercase_text": result,
            "status": "success"
        }
        
    except Exception as e:
        return {
            "error": f"Error processing request: {str(e)}",
            "status": "error"
        }

if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=7860)  # Port 7860 is standard for HF Spaces



'''
How to call this via python script:

import requests

# Replace with your actual space name
SPACE_NAME = "chetanganatra/test-api"   
API_URL = f"https://{SPACE_NAME.replace('/', '-')}.hf.space/predict"

# Prepare the data
data = {
    "data": ["user123", "What is machine learning?"]
}

# Make the API call
response = requests.post(API_URL, json=data)

if response.status_code == 200:
    result = response.json()
    print(result)
else:
    print(f"Error: {response.status_code}")
    print(response.text)
    
'''