from flask import Flask, render_template, request, jsonify
import PIL.Image
import io
import google.generativeai as genai
from werkzeug.utils import secure_filename
import os
from dotenv import load_dotenv

load_dotenv()

app = Flask(__name__)
app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024  # 16MB max file size
app.config['UPLOAD_FOLDER'] = 'uploads'

# Ensure upload folder exists
os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)

# Configure Google Generative AI
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY')
genai.configure(api_key=GOOGLE_API_KEY)

safety_settings = [
    {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
]

PROMPT_TEXT = """[Your existing prompt_text here]"""
PROMPT_IMAGE = """[Your existing prompt_image here]"""

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

@app.route('/analyze', methods=['POST'])
def analyze():
    try:
        analysis_type = request.form.get('analysis_type')
        files = request.files.getlist('images')
        
        if not files:
            return jsonify({'error': 'No files uploaded'}), 400

        image_parts = []
        for file in files:
            if file.filename:
                # Save file temporarily
                filename = secure_filename(file.filename)
                filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
                file.save(filepath)
                
                # Process image
                image = PIL.Image.open(filepath)
                image_parts.append(image)
                
                # Clean up
                os.remove(filepath)

        # Select prompt based on analysis type
        prompt = PROMPT_TEXT if analysis_type == 'text' else PROMPT_IMAGE

        # Generate content
        model = genai.GenerativeModel(model_name="gemini-2.0-flash-exp", safety_settings=safety_settings)
        response = model.generate_content([prompt] + image_parts)
        response.resolve()

        return jsonify({'result': response.text})

    except Exception as e:
        return jsonify({'error': str(e)}), 500

if __name__ == '__main__':
    app.run(debug=True)