import gradio as gr
import requests
import base64
from PIL import Image
import io
import json
import os
import numpy
#from dotenv import load_dotenv

#dotenv_path = '/.env'
#load_dotenv(dotenv_path)

# Get the API key from the environment variable
API_KEY = os.getenv('BASETEN_API_KEY')
API_url = os.getenv('BASETEN_COMFY_MODEL_URL')

def call_api_and_generate_image(negative_prompt, positive_prompt,seed):
    if not API_KEY:
        return None, "Error: API key not found in environment variables. Please set BASETEN_API_KEY."

    resp = requests.post(
        API_url,
        headers={"Authorization": f"Api-Key {API_KEY}"},
        json={
            'workflow_values': {
                'negative_prompt': negative_prompt,
                'positive_prompt': positive_prompt,
                'seed': seed
            }
        }
    )
    
    result = resp.json()
    base64_data = result['result'][0]['data']
    image_data = base64.b64decode(base64_data)
    image = Image.open(io.BytesIO(image_data))
    return image, json.dumps(result, indent=2)

def generate_image(positive_prompt, negative_prompt):
    seed = numpy.random.randint(0, 2**32 - 1)
    try:
        return call_api_and_generate_image(negative_prompt, positive_prompt,seed)
    except Exception as e:
        return None, f"Error: {str(e)}"

def clear_fields():
    return "", "", ""  # Clear prompt and output, but not the API key 

with gr.Blocks(theme='freddyaboulton/test-blue') as demo:
    gr.Markdown("<center><h2>Arjun's Image Generator</h2></center>")
    gr.Markdown("Hi there! I'm an AI assistant tasked with generating images.")
    prompt = gr.Textbox(label='Positve Prompt', lines=2, max_lines=5, placeholder = 'Describe your image here.')
    neg_prompt = gr.Textbox(label='Negative Prompt', lines=2, max_lines=10, value="Low quality, pixelated")

    with gr.Group():
        with gr.Row():
                submit_btn = gr.Button(value="Submit", elem_id="generate_button", variant="primary", size="sm")
                clear_btn = gr.ClearButton(value="Clear Question and AI Response", elem_id="clear_button", variant="secondary", size="sm")
        gr.Markdown("<center><h3>AI Response</h3></center>")
        image_output = gr.Image(type="pil", label="Generated Image")
        json_output = gr.Textbox(label="API Response JSON", lines=10)
    submit_btn.click(fn=generate_image, inputs = [prompt,neg_prompt], outputs=[image_output,json_output])
    clear_btn.click(fn=clear_fields,outputs=[prompt,image_output,json_output, neg_prompt])

demo.launch()