You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
177 lines
6.3 KiB
177 lines
6.3 KiB
import streamlit as st
|
|
import requests
|
|
from PIL import Image
|
|
|
|
from utils.weather import get_weather_data
|
|
from utils.outfits import generate_sample_outfits
|
|
from utils.outfits import generate_fallback_outfits
|
|
from utils.image_processing import process_image_for_try_on
|
|
from config import MOONSHOT_API_KEY
|
|
|
|
|
|
|
|
def show_recommendations_tab():
|
|
st.header("智能穿搭推荐")
|
|
|
|
with st.form("scene_form"):
|
|
col1, col2 = st.columns(2)
|
|
with col1:
|
|
scene_input = st.text_input("描述你的场景需求",
|
|
placeholder="例如: 今天要和朋友们去公园野餐")
|
|
with col2:
|
|
city_input = st.text_input("输入城市名称",
|
|
placeholder="例如: 北京",
|
|
value="北京")
|
|
|
|
use_weather = st.checkbox("获取当地天气信息", value=True)
|
|
submitted = st.form_submit_button("获取穿搭建议")
|
|
|
|
if submitted and scene_input:
|
|
with st.spinner("正在生成穿搭建议..."):
|
|
try:
|
|
weather_info = ""
|
|
if use_weather and city_input:
|
|
weather_data = get_weather_data(city_input)
|
|
if weather_data:
|
|
weather_info = f"""
|
|
## 当前天气情况
|
|
- 城市: {weather_data['city']}
|
|
- 天气状况: {weather_data['description']}
|
|
- 温度: {weather_data['temp']}°C
|
|
- 湿度: {weather_data['humidity']}%
|
|
"""
|
|
st.markdown(weather_info)
|
|
|
|
prompt = build_prompt(scene_input, weather_info if use_weather else "")
|
|
response = call_moonshot_api(prompt)
|
|
|
|
if response:
|
|
st.session_state.recommendations = response
|
|
st.success("穿搭建议生成成功！")
|
|
|
|
# 新增：根据建议生成图片
|
|
outfit_image = generate_sample_outfits(response)
|
|
if outfit_image:
|
|
st.image(outfit_image, caption="推荐穿搭可视化", width=300)
|
|
st.session_state.outfit_image = outfit_image
|
|
else:
|
|
st.warning("无法生成穿搭图片，但文字建议有效")
|
|
else:
|
|
st.error("获取穿搭建议失败")
|
|
|
|
except Exception as e:
|
|
st.error(f"获取建议时出错: {str(e)}")
|
|
|
|
# recommendations.py 修改后的显示部分
|
|
if st.session_state.recommendations:
|
|
st.markdown("### 您的专属穿搭建议")
|
|
st.markdown(st.session_state.recommendations)
|
|
|
|
st.markdown("### 搭配示例")
|
|
try:
|
|
sample_images = generate_sample_outfits(
|
|
st.session_state.recommendations,
|
|
save_to_local=True
|
|
)
|
|
|
|
if sample_images:
|
|
# 确保只显示实际生成的图片数量
|
|
num_images = min(3, len(sample_images))
|
|
cols = st.columns(num_images)
|
|
|
|
for i in range(num_images):
|
|
with cols[i]:
|
|
st.image(
|
|
sample_images[i],
|
|
use_container_width=True,
|
|
caption=f"穿搭方案 {i + 1}"
|
|
)
|
|
st.success(f"示例 {i + 1}")
|
|
else:
|
|
st.warning("无法生成任何穿搭示例图片")
|
|
|
|
except Exception as e:
|
|
st.error(f"生成穿搭示例时出错: {str(e)}")
|
|
# 显示回退方案
|
|
fallback_images = generate_fallback_outfits(save_to_local=True)
|
|
cols = st.columns(3)
|
|
for i, col in enumerate(cols):
|
|
col.image(
|
|
fallback_images[i],
|
|
use_container_width=True,
|
|
caption=f"穿搭方案 {i + 1} (示例)"
|
|
)
|
|
|
|
|
|
|
|
def build_prompt(scene_input, weather_info):
|
|
return f"""
|
|
你是一位专业的时尚穿搭助手，请根据以下信息为用户提供穿搭建议:
|
|
|
|
### 用户信息
|
|
{st.session_state.user_info}
|
|
|
|
### 场景描述
|
|
{scene_input}
|
|
|
|
### 天气信息
|
|
{weather_info if weather_info else "用户未提供天气信息"}
|
|
|
|
### 请提供以下内容:
|
|
1. 适合该场景的3套穿搭方案
|
|
2. 每套方案的风格特点和适用场合说明
|
|
3. 颜色搭配建议
|
|
4. 材质和面料选择建议
|
|
5. 购买建议和品牌推荐(可选)
|
|
"""
|
|
|
|
|
|
def call_moonshot_api(prompt):
|
|
headers = {
|
|
"Authorization": f"Bearer {MOONSHOT_API_KEY}",
|
|
"Content-Type": "application/json"
|
|
}
|
|
|
|
data = {
|
|
"model": "moonshot-v1-128k",
|
|
"messages": [
|
|
{
|
|
"role": "system",
|
|
"content": "你是一位专业的时尚顾问，擅长根据用户特征、场景和天气状况提供个性化的穿搭建议。"
|
|
},
|
|
{
|
|
"role": "user",
|
|
"content": prompt
|
|
}
|
|
],
|
|
"temperature": 0.7,
|
|
"max_tokens": 2000
|
|
}
|
|
|
|
response = requests.post(
|
|
"https://api.moonshot.cn/v1/chat/completions",
|
|
headers=headers,
|
|
json=data
|
|
)
|
|
|
|
if response.status_code == 200:
|
|
result = response.json()
|
|
return result["choices"][0]["message"]["content"]
|
|
else:
|
|
st.error(f"API调用失败: {response.text}")
|
|
return None
|
|
|
|
|
|
def show_virtual_tryon_tab():
|
|
st.header("虚拟试衣间")
|
|
st.info("此功能正在开发中，即将推出!")
|
|
|
|
uploaded_file = st.file_uploader("上传你的照片进行虚拟试衣", type=["jpg", "png", "jpeg"])
|
|
if uploaded_file is not None:
|
|
image = Image.open(uploaded_file)
|
|
st.image(image, caption="上传的照片", use_container_width=True)
|
|
|
|
gray, edges = process_image_for_try_on(image)
|
|
col1, col2 = st.columns(2)
|
|
col1.image(gray, caption="灰度处理", use_container_width=True, channels="GRAY")
|
|
col2.image(edges, caption="边缘检测", use_container_width=True, channels="GRAY") |