hellohf / app.py
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替换AI模型为规则生成器,解决依赖问题
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import gradio as gr
import numpy as np
import random
import logging
import sys
import os
from PIL import Image as PILImage
# 设置日志记录
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
stream=sys.stdout)
logger = logging.getLogger(__name__)
# 修复 Gradio JSON Schema 错误
try:
import gradio_client.utils
# 保存原始函数
original_get_type = gradio_client.utils.get_type
# 创建新的 get_type 函数,处理布尔值
def patched_get_type(schema):
if schema is True or schema is False or schema is None:
return "any"
if not isinstance(schema, dict):
return "any"
return original_get_type(schema)
# 替换原始函数
gradio_client.utils.get_type = patched_get_type
logger.info("Successfully patched gradio_client.utils.get_type")
# 同样修补 _json_schema_to_python_type 函数
original_json_schema_to_python_type = gradio_client.utils._json_schema_to_python_type
def patched_json_schema_to_python_type(schema, defs=None):
if schema is True or schema is False:
return "bool"
if schema is None:
return "None"
if not isinstance(schema, dict):
return "any"
try:
return original_json_schema_to_python_type(schema, defs)
except Exception as e:
logger.warning(f"Error in json_schema_to_python_type: {e}")
return "any"
gradio_client.utils._json_schema_to_python_type = patched_json_schema_to_python_type
logger.info("Successfully patched gradio_client.utils._json_schema_to_python_type")
except Exception as e:
logger.error(f"Failed to patch Gradio utils: {e}")
# 创建一个简单的示例图像
def create_dummy_image():
logger.info("Creating dummy image")
img = PILImage.new('RGB', (256, 256), color = (255, 100, 100))
return img
# 创建一个模拟图像生成器
def create_mock_image(prompt):
"""当模型加载不成功时,创建一个带有提示词的简单图像"""
logger.info(f"创建简单图像: {prompt}")
# 创建一个基础图像
img = PILImage.new('RGB', (512, 512), color=(240, 240, 250))
# 在图像上写文字
try:
from PIL import ImageDraw, ImageFont
draw = ImageDraw.Draw(img)
# 尝试找一个合适的字体
try:
font = ImageFont.truetype("arial.ttf", 20)
except:
try:
font = ImageFont.truetype("DejaVuSans.ttf", 20)
except:
font = ImageFont.load_default()
# 添加提示文本
text = f"提示词: {prompt}"
draw.text((20, 20), text, fill=(0, 0, 0), font=font)
draw.text((20, 60), "模型加载失败,显示占位图像", fill=(255, 0, 0), font=font)
except Exception as e:
logger.error(f"创建文字图像失败: {e}")
return img
# 使用简单的文本生成器
def text_to_image(prompt):
"""一个非常简单的基于规则的文本到图像生成器"""
logger.info(f"使用简单规则生成图像: {prompt}")
# 创建基础图像
img = PILImage.new('RGB', (512, 512), color=(240, 240, 250))
# 尝试分析提示词内容
color = (100, 100, 200) # 默认蓝色
# 简单的颜色匹配
color_words = {
'red': (200, 50, 50),
'blue': (50, 50, 200),
'green': (50, 200, 50),
'yellow': (200, 200, 50),
'purple': (150, 50, 150),
'orange': (220, 140, 20),
'pink': (255, 150, 200),
'black': (30, 30, 30),
'white': (240, 240, 240),
'gray': (128, 128, 128),
}
# 检查提示词中是否包含颜色
prompt_lower = prompt.lower()
for color_word, rgb in color_words.items():
if color_word in prompt_lower:
color = rgb
break
# 创建一个简单的图形
from PIL import ImageDraw
draw = ImageDraw.Draw(img)
# 根据提示词选择不同的绘制方式
if any(animal in prompt_lower for animal in ['cat', 'kitty', 'kitten']):
# 画一个简单的猫
draw.ellipse((156, 156, 356, 306), fill=color) # 头
draw.ellipse((196, 176, 246, 226), fill=(255, 255, 255)) # 左眼
draw.ellipse((266, 176, 316, 226), fill=(255, 255, 255)) # 右眼
draw.ellipse((211, 191, 231, 211), fill=(0, 0, 0)) # 左眼球
draw.ellipse((281, 191, 301, 211), fill=(0, 0, 0)) # 右眼球
draw.polygon([(256, 256), (236, 246), (276, 246)], fill=(255, 100, 150)) # 鼻子
draw.line([(256, 256), (256, 286)], fill=(0, 0, 0), width=2) # 鼻线
draw.arc((206, 256, 306, 336), 0, 180, fill=(0, 0, 0), width=2) # 嘴
# 猫耳朵
draw.polygon([(206, 156), (156, 76), (246, 126)], fill=color)
draw.polygon([(306, 156), (356, 76), (266, 126)], fill=color)
elif any(landscape in prompt_lower for landscape in ['landscape', 'mountain', 'sunset', 'nature']):
# 画一个简单的风景
# 天空
sky_color = (100, 150, 250)
if 'sunset' in prompt_lower:
sky_color = (250, 150, 100)
draw.rectangle([(0, 0), (512, 300)], fill=sky_color)
# 太阳/月亮
if 'sunset' in prompt_lower or 'sun' in prompt_lower:
draw.ellipse((400, 50, 480, 130), fill=(255, 200, 50))
elif 'night' in prompt_lower or 'moon' in prompt_lower:
draw.ellipse((400, 50, 480, 130), fill=(240, 240, 240))
# 山
draw.polygon([(0, 300), (200, 100), (400, 300)], fill=(100, 100, 100))
draw.polygon([(100, 300), (300, 50), (500, 300)], fill=(80, 80, 80))
# 地面
ground_color = (100, 200, 100)
if 'desert' in prompt_lower:
ground_color = (240, 220, 180)
elif 'snow' in prompt_lower or 'winter' in prompt_lower:
ground_color = (240, 240, 250)
draw.rectangle([(0, 300), (512, 512)], fill=ground_color)
else:
# 默认绘制一些简单的几何图形
draw.rectangle([(106, 106), (406, 406)], outline=(0, 0, 0), width=2)
draw.ellipse((156, 156, 356, 356), fill=color)
draw.polygon([(256, 106), (406, 406), (106, 406)], fill=(color[0]//2, color[1]//2, color[2]//2))
# 添加提示词文本
try:
font = ImageFont.load_default()
draw.text((10, 10), f"提示词: {prompt}", fill=(0, 0, 0), font=font)
draw.text((10, 30), "由简单规则生成", fill=(100, 100, 100), font=font)
except Exception as e:
logger.error(f"添加文字失败: {e}")
return img
# 生成图像函数
def generate_image(prompt):
# 如果提示为空,使用默认提示
if not prompt or prompt.strip() == "":
prompt = "a beautiful landscape"
logger.info(f"输入为空,使用默认提示词: {prompt}")
logger.info(f"收到提示词: {prompt}")
# 不再尝试加载AI模型,直接使用规则生成器
logger.info("使用规则生成器代替AI模型")
return text_to_image(prompt)
# 创建Gradio界面
def create_demo():
# 创建界面
demo = gr.Interface(
fn=generate_image,
inputs=gr.Textbox(label="输入提示词(例如:猫、风景、日落)"),
outputs=gr.Image(type="pil", label="生成的图像"),
title="简易文本到图像生成器",
description="输入文本描述,生成相应的图像(使用规则生成器,不依赖AI模型)",
examples=["a cute cat", "beautiful sunset", "mountain landscape", "red circle"],
cache_examples=False,
flagging_mode=None
)
return demo
# 创建演示界面
demo = create_demo()
# 启动应用
if __name__ == "__main__":
try:
logger.info("启动Gradio界面...")
# 使用最小配置
demo.launch(
server_name="0.0.0.0",
show_api=False, # 禁用API
share=False, # 不创建公共链接
debug=False, # 禁用调试模式
quiet=True # 减少日志输出
)
except Exception as e:
logger.error(f"启动失败: {e}")