update

pages/0_📹_Animation_Demo.py

@@ -1,84 +0,0 @@
-# Copyright 2018-2022 Streamlit Inc.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import streamlit as st
-import inspect
-import textwrap
-import numpy as np
-from typing import Any
-from streamlit.hello.utils import show_code
-
-
-def animation_demo():
-
-    # Interactive Streamlit elements, like these sliders, return their value.
-    # This gives you an extremely simple interaction model.
-    iterations = st.sidebar.slider("Level of detail", 2, 20, 10, 1)
-    separation = st.sidebar.slider("Separation", 0.7, 2.0, 0.7885)
-
-    # Non-interactive elements return a placeholder to their location
-    # in the app. Here we're storing progress_bar to update it later.
-    progress_bar = st.sidebar.progress(0)
-
-    # These two elements will be filled in later, so we create a placeholder
-    # for them using st.empty()
-    frame_text = st.sidebar.empty()
-    image = st.empty()
-
-    m, n, s = 960, 640, 400
-    x = np.linspace(-m / s, m / s, num=m).reshape((1, m))
-    y = np.linspace(-n / s, n / s, num=n).reshape((n, 1))
-
-    for frame_num, a in enumerate(np.linspace(0.0, 4 * np.pi, 100)):
-        # Here were setting value for these two elements.
-        progress_bar.progress(frame_num)
-        frame_text.text("Frame %i/100" % (frame_num + 1))
-
-        # Performing some fractal wizardry.
-        c = separation * np.exp(1j * a)
-        Z = np.tile(x, (n, 1)) + 1j * np.tile(y, (1, m))
-        C = np.full((n, m), c)
-        M: Any = np.full((n, m), True, dtype=bool)
-        N = np.zeros((n, m))
-
-        for i in range(iterations):
-            Z[M] = Z[M] * Z[M] + C[M]
-            M[np.abs(Z) > 2] = False
-            N[M] = i
-
-        # Update the image placeholder by calling the image() function on it.
-        image.image(1.0 - (N / N.max()), use_column_width=True)
-
-    # We clear elements by calling empty on them.
-    progress_bar.empty()
-    frame_text.empty()
-
-    # Streamlit widgets automatically run the script from top to bottom. Since
-    # this button is not connected to any other logic, it just causes a plain
-    # rerun.
-    st.button("Re-run")
-
-
-st.set_page_config(page_title="Animation Demo", page_icon="📹")
-st.markdown("# Animation Demo")
-st.sidebar.header("Animation Demo")
-st.write(
-    """This app shows how you can use Streamlit to build cool animations.
-It displays an animated fractal based on the the Julia Set. Use the slider
-to tune different parameters."""
-)
-
-animation_demo()
-
-show_code(animation_demo)

pages/1___监控.py

@@ -1,6 +0,0 @@
-import streamlit as st
-
-col1, col2, col3 = st.columns(3)
-col1.metric("Temperature", "70 °F", "1.2 °F")
-col2.metric("Wind", "9 mph", "-8%")
-col3.metric("Humidity", "86%", "4%")

pages/1_📈_Plotting_Demo.py

@@ -1,56 +0,0 @@
-# Copyright 2018-2022 Streamlit Inc.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import streamlit as st
-import inspect
-import textwrap
-import time
-import numpy as np
-from streamlit.hello.utils import show_code
-
-
-def plotting_demo():
-    progress_bar = st.sidebar.progress(0)
-    status_text = st.sidebar.empty()
-    last_rows = np.random.randn(1, 1)
-    chart = st.line_chart(last_rows)
-
-    for i in range(1, 101):
-        new_rows = last_rows[-1, :] + np.random.randn(5, 1).cumsum(axis=0)
-        status_text.text("%i%% Complete" % i)
-        chart.add_rows(new_rows)
-        progress_bar.progress(i)
-        last_rows = new_rows
-        time.sleep(0.05)
-
-    progress_bar.empty()
-
-    # Streamlit widgets automatically run the script from top to bottom. Since
-    # this button is not connected to any other logic, it just causes a plain
-    # rerun.
-    st.button("Re-run")
-
-
-st.set_page_config(page_title="Plotting Demo", page_icon="📈")
-st.markdown("# Plotting Demo")
-st.sidebar.header("Plotting Demo")
-st.write(
-    """This demo illustrates a combination of plotting and animation with
-Streamlit. We're generating a bunch of random numbers in a loop for around
-5 seconds. Enjoy!"""
-)
-
-plotting_demo()
-
-show_code(plotting_demo)

pages/1_🔥_食品安全比赛提交.py

@@ -0,0 +1,24 @@
+import paramiko
+from meutils.pipe import *
+import streamlit as st
+
+host = '222.76.203.180'  # 主机
+port = 57891  # 端口
+sf = paramiko.Transport((host, port))
+
+username = st.text_input('username', 'comp_5154')  # 用户名
+password = st.text_input('password')  # 密码
+
+
+uploaded_file = st.file_uploader("上传文件")
+if uploaded_file is not None and password:
+    df = pd.read_csv(uploaded_file, '|', header=0)
+    df.to_csv('result.txt', index=False)
+
+    sf.connect(username=username, password=password)
+    sftp = paramiko.SFTPClient.from_transport(sf)
+
+    _ = sftp.put('result.txt', '/result/result.txt')
+    st.write(_)
+
+    st.write(df)

pages/2_🌍_Mapping_Demo.py

@@ -1,119 +0,0 @@
-# Copyright 2018-2022 Streamlit Inc.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import streamlit as st
-import inspect
-import textwrap
-import pandas as pd
-import pydeck as pdk
-from streamlit.hello.utils import show_code
-
-
-from urllib.error import URLError
-
-
-def mapping_demo():
-    @st.cache
-    def from_data_file(filename):
-        url = (
-            "http://raw.githubusercontent.com/streamlit/"
-            "example-data/master/hello/v1/%s" % filename
-        )
-        return pd.read_json(url)
-
-    try:
-        ALL_LAYERS = {
-            "Bike Rentals": pdk.Layer(
-                "HexagonLayer",
-                data=from_data_file("bike_rental_stats.json"),
-                get_position=["lon", "lat"],
-                radius=200,
-                elevation_scale=4,
-                elevation_range=[0, 1000],
-                extruded=True,
-            ),
-            "Bart Stop Exits": pdk.Layer(
-                "ScatterplotLayer",
-                data=from_data_file("bart_stop_stats.json"),
-                get_position=["lon", "lat"],
-                get_color=[200, 30, 0, 160],
-                get_radius="[exits]",
-                radius_scale=0.05,
-            ),
-            "Bart Stop Names": pdk.Layer(
-                "TextLayer",
-                data=from_data_file("bart_stop_stats.json"),
-                get_position=["lon", "lat"],
-                get_text="name",
-                get_color=[0, 0, 0, 200],
-                get_size=15,
-                get_alignment_baseline="'bottom'",
-            ),
-            "Outbound Flow": pdk.Layer(
-                "ArcLayer",
-                data=from_data_file("bart_path_stats.json"),
-                get_source_position=["lon", "lat"],
-                get_target_position=["lon2", "lat2"],
-                get_source_color=[200, 30, 0, 160],
-                get_target_color=[200, 30, 0, 160],
-                auto_highlight=True,
-                width_scale=0.0001,
-                get_width="outbound",
-                width_min_pixels=3,
-                width_max_pixels=30,
-            ),
-        }
-        st.sidebar.markdown("### Map Layers")
-        selected_layers = [
-            layer
-            for layer_name, layer in ALL_LAYERS.items()
-            if st.sidebar.checkbox(layer_name, True)
-        ]
-        if selected_layers:
-            st.pydeck_chart(
-                pdk.Deck(
-                    map_style="mapbox://styles/mapbox/light-v9",
-                    initial_view_state={
-                        "latitude": 37.76,
-                        "longitude": -122.4,
-                        "zoom": 11,
-                        "pitch": 50,
-                    },
-                    layers=selected_layers,
-                )
-            )
-        else:
-            st.error("Please choose at least one layer above.")
-    except URLError as e:
-        st.error(
-            """
-            **This demo requires internet access.**
-            Connection error: %s
-        """
-            % e.reason
-        )
-
-
-st.set_page_config(page_title="Mapping Demo", page_icon="🌍")
-st.markdown("# Mapping Demo")
-st.sidebar.header("Mapping Demo")
-st.write(
-    """This demo shows how to use
-[`st.pydeck_chart`](https://docs.streamlit.io/library/api-reference/charts/st.pydeck_chart)
-to display geospatial data."""
-)
-
-mapping_demo()
-
-show_code(mapping_demo)

pages/3_📊_DataFrame_Demo.py

@@ -1,78 +0,0 @@
-# Copyright 2018-2022 Streamlit Inc.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import streamlit as st
-import inspect
-import textwrap
-import pandas as pd
-import altair as alt
-from streamlit.hello.utils import show_code
-
-from urllib.error import URLError
-
-
-def data_frame_demo():
-    @st.cache
-    def get_UN_data():
-        AWS_BUCKET_URL = "http://streamlit-demo-data.s3-us-west-2.amazonaws.com"
-        df = pd.read_csv(AWS_BUCKET_URL + "/agri.csv.gz")
-        return df.set_index("Region")
-
-    try:
-        df = get_UN_data()
-        countries = st.multiselect(
-            "Choose countries", list(df.index), ["China", "United States of America"]
-        )
-        if not countries:
-            st.error("Please select at least one country.")
-        else:
-            data = df.loc[countries]
-            data /= 1000000.0
-            st.write("### Gross Agricultural Production ($B)", data.sort_index())
-
-            data = data.T.reset_index()
-            data = pd.melt(data, id_vars=["index"]).rename(
-                columns={"index": "year", "value": "Gross Agricultural Product ($B)"}
-            )
-            chart = (
-                alt.Chart(data)
-                .mark_area(opacity=0.3)
-                .encode(
-                    x="year:T",
-                    y=alt.Y("Gross Agricultural Product ($B):Q", stack=None),
-                    color="Region:N",
-                )
-            )
-            st.altair_chart(chart, use_container_width=True)
-    except URLError as e:
-        st.error(
-            """
-            **This demo requires internet access.**
-            Connection error: %s
-        """
-            % e.reason
-        )
-
-
-st.set_page_config(page_title="DataFrame Demo", page_icon="📊")
-st.markdown("# DataFrame Demo")
-st.sidebar.header("DataFrame Demo")
-st.write(
-    """This demo shows how to use `st.write` to visualize Pandas DataFrames.
-(Data courtesy of the [UN Data Explorer](http://data.un.org/Explorer.aspx).)"""
-)
-
-data_frame_demo()
-
-show_code(data_frame_demo)

requirements.txt

@@ -1 +1,2 @@
 meutils
+paramiko