1

pages/7_итоги.py

@@ -1,6 +1,8 @@
 import streamlit as st, pandas as pd, numpy as np
 
-st.sidebar.markdown("# итоги ⚜️")
+st.sidebar.title("Пока плохо")
+st.sidebar.info("попытка загрузить CSV")
+st.sidebar.markdown("*** итоги ⚜️")
 # remove decoration and popup menu button at top
 st.markdown("<style> header[data-testid='stHeader'] { display:none }", unsafe_allow_html=True)
 
@@ -9,7 +11,20 @@ col1.metric("Temperature", "70 °F", "1.2 °F")
 col2.metric("Wind", "9 mph", "-8%")
 col3.metric("Humidity", "86%", "4%")
 
-from datasets import load_dataset
-dataset = load_dataset("f64k/gaziev")
+#from datasets import load_dataset
+#dataset = load_dataset("f64k/gaziev")
 
-dataset
+from huggingface_hub import hf_hub_download
+#https://huggingface.co/datasets/f64k/gaziev/blob/main/TestData3_2204_noAB_gaziev.zip
+REPO_ID = "f64k/gaziev"
+FILENAME = "TestData3_2204_noAB_gaziev.zip"
+
+df = pd.DataFrame(hf_hub_download(repo_id=REPO_ID, filename=FILENAME))
+st.write(type(df))
+df
+
+
+#import joblib
+#REPO_ID = "YOUR_REPO_ID"
+#FILENAME = "sklearn_model.joblib"
+#model = joblib.load(hf_hub_download(repo_id=REPO_ID, filename=FILENAME))

requirements.txt

@@ -1,4 +1,5 @@
 streamlit
+huggingface_hub
 datasets
 plotly
 pandas