no_grad(): predictions = model(inputs) # 结果可视化 img_result = plot_detection(img,predictions[0], model.idx2names,min_score = min_score) return img_result st.title("FasterRCNN功能演示") st.header("FasterRCNN Input:") image_file = st.file_uploader("upload a image file(jpg/png)...
st.latex %%writefiledemo.pyimportstreamlitasst# markdownst.title('streamlit极简教程')st.markdown('### 一. 安装')st.text('和安装其他包一样,安装 streamlit 非常简单,一条命令即可')code1='''pip install streamlit'''st.code(code1,language='bash')st.caption("需要python3.7以及以上环境")st.mark...
输入组件Image也可以设置输入类型type，比如type=filepath设置传入处理图像的路径。具体可以查看官方文档，文...
uploaded_file = st.file_uploader('Upload a file') if uploaded_file is not None: #处理上传的文件 st.write('File uploaded successfully.') 4.进度条:您可以使用st.progress()函数创建一个进度条,以便显示某个任务的进度。 python progress = st.progress(0) for i in range(100): #执行某个任务 ...
file_uploader("Upload file", type=["csv", "json", "xlsx", "xls"]) if path is not None: df = load_file(path) if df is not None: st.write("File uploaded Successfully") st.write(df.head()) chart_type = st.selectbox("select chart:", ["scatter plot", "line chart", "bar ...
⏰ Streamlit Time-Series Forecaster A one-file Streamlit app that lets anyone:Upload any CSV that hasone date column (daily, weekly, monthly, hourly, …)one or more numeric columnsPick the series and forecast horizon.Click “Run forecast” – the app trains a model in seconds:...
Uploading and Handling Files with st.file_uploader Allow users to upload files directly into your app for processing. Example: CSV File Uploader import streamlit as st import pandas as pd uploaded_file = st.file_uploader("Choose a CSV file", type="csv") if uploaded_file is not None: df...
upload_image = st.file_uploader("在此上传您的图像", accept_multiple_files=False, type=['jpg', 'png']) if upload_image: image = Image.open(upload_image) 重置聊天对话框 重置时,会清除聊天历史和开场对话。 if st.button("清除聊天历史"): st.session_state.messages.clear() st.session_state...
2*np.pi,1000)# Create y valuesy=amp*np.sin(freq*x)# Plot the graphfig,ax=plt.subplots()...
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