app.py

import streamlit as st
from ultralytics import YOLO
from PIL import Image
import numpy as np
import os

# Define the model path
model_path = "best.pt"  # Assumes `best.pt` is in the root directory

# Verify file existence
if not os.path.exists(model_path):
    st.error(f"Model file not found at: {model_path}. Current directory files: {os.listdir()}")

# Load the YOLO model
try:
    model = YOLO(model_path)
except Exception as e:
    st.error(f"Error loading model: {e}")

# Streamlit app
st.title("YOLOv11 Object Detection")
st.write("Upload an image and let the model detect objects.")

uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png", "jpeg"])
if uploaded_file:
    # Read and display the image
    image = Image.open(uploaded_file)
    st.image(image, caption="Uploaded Image", use_column_width=True)

    # Perform prediction
    with st.spinner("Processing..."):
        try:
            results = model.predict(np.array(image))
            st.write("Detection Results:")
            st.image(results[0].plot(), caption="Detections", use_column_width=True)
        except Exception as e:
            st.error(f"E