app.py

from flask import Flask, render_template, request, jsonify
import os
import base64
import requests
from PIL import Image
from io import BytesIO
import logging
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry

# Configure logging
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')

app = Flask(__name__)

# Configuration
UPLOAD_FOLDER = 'static/captures'
os.makedirs(UPLOAD_FOLDER, exist_ok=True)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER

# Hugging Face API settings
HF_API_TOKEN = os.getenv('HF_API_TOKEN')  # Load token from environment variable
HF_API_URL = "https://api-inference.huggingface.co/models/facebook/detr-resnet-50"  # Example model for object detection

def query_hugging_face(image_data):
    if not HF_API_TOKEN:
        logging.error("Hugging Face API token not set.")
        return {"error": "Hugging Face API token not set. Please set the HF_API_TOKEN environment variable."}
    try:
        session = requests.Session()
        # Configure retries: 3 attempts, backoff factor of 1s, retry on 502/503/504
        retries = Retry(total=3, backoff_factor=1, status_forcelist=[502, 503, 504])
        session.mount('https://', HTTPAdapter(max_retries=retries))
        headers = {"Authorization": f"Bearer {HF_API_TOKEN}"}
        logging.debug(f"Sending request to {HF_API_URL}")
        response = session.post(HF_API_URL, headers=headers, data=image_data, timeout=10)
        response.raise_for_status()
        logging.debug("Hugging Face API request successful.")
        return response.json()
    except requests.exceptions.RequestException as e:
        logging.error(f"Failed to connect to Hugging Face API: {str(e)}")
        return {"error": f"Failed to connect to Hugging Face API: {str(e)}"}

@app.route('/')
def index():
    return render_template('index.html')

@app.route('/capture', methods=['POST'])
def capture():
    try:
        # Get the base64 image data from the request
        data = request.form['image']
        header, encoded = data.split(",", 1)
        binary_data = base64.b64decode(encoded)
        
        # Save the image
        filename = f"capture_{len(os.listdir(app.config['UPLOAD_FOLDER'])) + 1}.jpg"
        filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
        with open(filepath, "wb") as f:
            f.write(binary_data)
        
        # Process with Hugging Face API
        with open(filepath, "rb") as f:
            hf_result = query_hugging_face(f.read())
        
        # Return the image URL and Hugging Face result
        image_url = f"/{filepath}"
        return jsonify({
            'status': 'success',
            'image_url': image_url,
            'hf_result': hf_result
        })
    except Exception as e:
        logging.error(f"Error in capture: {str(e)}")
        return jsonify({'status': 'error', 'message': str(e)})

@app.route('/test_connectivity')
def test_connectivity():
    try:
        response = requests.get('https://www.google.com', timeout=5)
        logging.debug(f"Connectivity test to Google: {response.status_code}")
        return jsonify({'status': 'success', 'code': response.status_code})
    except requests.exceptions.RequestException as e:
        logging.error(f"Connectivity test failed: {str(e)}")
        return jsonify({'status': 'error', 'message': str(e)})

if __name__ == '__main__':
    app.run(debug=True, host='0.0.0.0', port=7860)