app.py

import gradio as gr
from gradio_client import Client
import os
import logging

# 로깅 설정
logging.basicConfig(level=logging.INFO)

# API 클라이언트 설정
api_client = Client("http://211.233.58.202:7960/")

def respond(message):
    logging.info("Received message: %s", message)
    
    try:
        # 이미지 생성 요청
        result = api_client.predict(
            prompt=message,
            seed=123,
            randomize_seed=False,
            width=1024,
            height=576,
            guidance_scale=5,
            num_inference_steps=28,
            api_name="/infer_t2i"
        )
        logging.info("API response received: %s", result)
        
        # 결과 확인 및 처리
        if isinstance(result, dict) and 'url' in result:
            return result['url']
        elif isinstance(result, tuple):
            logging.error("Unexpected tuple response: %s", result)
            # 튜플 응답 처리, 예를 들어 result[0] 이 url을 포함하고 있다고 가정
            return result[0]
        else:
            raise ValueError("Unexpected API response format")
    except Exception as e:
        logging.error("Error during API request: %s", str(e))
        return "Failed to generate image due to an error."

css = """
footer {
    visibility: hidden;
}
"""

# Gradio 인터페이스 설정
demo = gr.Interface(
    fn=respond,
    inputs=gr.Textbox(label="Enter your prompt for image generation"),
    outputs=gr.Image(label="Generated Image"),
    theme="Nymbo/Nymbo_Theme",
    css=css
)

if __name__ == "__main__":
    demo.launch()