Update app.py

app.py

@@ -5,6 +5,105 @@ import pandas as pd  # read csv, df manipulation
 import plotly.express as px  # interactive charts
 import streamlit as st  # 🎈 data web app development
 
+
+# PersistDataset -----
+import os
+import csv
+import gradio as gr
+from gradio import inputs, outputs
+import huggingface_hub
+from huggingface_hub import Repository, hf_hub_download, upload_file
+from datetime import datetime
+
+# Dataset and Token links - change awacke1 to your own HF id, and add a HF_TOKEN copy to your repo for write permissions
+# This should allow you to save your results to your own Dataset hosted on HF. ---
+#DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/Carddata.csv"
+DATASET_REPO_URL = "https://huggingface.co/datasets/" + "awacke1/PrivateASRWithMemory.csv"
+#DATASET_REPO_ID = "awacke1/Carddata.csv"
+DATASET_REPO_ID = "awacke1/PrivateASRWithMemory.csv"
+DATA_FILENAME = "PrivateASRWithMemory.csv"
+DATA_FILE = os.path.join("data", DATA_FILENAME)
+HF_TOKEN = os.environ.get("HF_TOKEN")
+
+DataText = ""
+# ---------------------------------------------
+
+SCRIPT = """
+<script>
+if (!window.hasBeenRun) {
+    window.hasBeenRun = true;
+    console.log("should only happen once");
+    document.querySelector("button.submit").click();
+}
+</script>
+"""
+
+@st.experimental_singleton
+def get_database_session(url):
+  # Create a database session object that points to the URL.
+  return session
+Clear memo
+Clear all in-memory and on-disk memo caches.
+
+@st.experimental_memo
+def fetch_and_clean_data(url):
+  # Fetch data from URL here, and then clean it up.
+  return data
+
+if st.checkbox("Clear All"):
+  # Clear values from *all* memoized functions
+  st.experimental_memo.clear()
+Clear singleton
+Clear all singleton caches.
+
+@st.experimental_singleton
+def get_database_session():
+      # Create a database session object that points to the URL.
+    try:
+        DataText = hf_hub_download(
+            repo_id=DATASET_REPO_ID,
+            filename=DATA_FILENAME,
+            cache_dir=DATA_DIRNAME,
+            force_filename=DATA_FILENAME
+        )
+    except:
+        print("file not found")
+    repo = Repository(
+    local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
+)  return session
+
+def generate_html() -> str:
+    with open(DATA_FILE) as csvfile:
+        reader = csv.DictReader(csvfile)
+        rows = []
+        for row in reader:
+            rows.append(row)
+        rows.reverse()
+        if len(rows) == 0:
+            return "no messages yet"
+        else:
+            html = "<div class='chatbot'>"
+            for row in rows:
+                html += "<div>"
+                html += f"<span>{row['inputs']}</span>"
+                html += f"<span class='outputs'>{row['outputs']}</span>"
+                html += "</div>"
+            html += "</div>"
+            return html
+            
+            
+def store_message(name: str, message: str):
+    if name and message:
+        with open(DATA_FILE, "a") as csvfile:
+            writer = csv.DictWriter(csvfile, fieldnames=["name", "message", "time"])
+            writer.writerow(
+                {"name": name.strip(), "message": message.strip(), "time": str(datetime.now())}
+            )
+        # uncomment line below to begin saving - 
+        commit_url = repo.push_to_hub()
+    return ""            
+
+
 st.set_page_config(
     page_title="Real-Time Data Science Dashboard",
     page_icon="✅",
@@ -89,4 +188,7 @@ for seconds in range(200):
 
         st.markdown("### Detailed Data View")
         st.dataframe(df)
+        
+        st.markdown(DataFile)
+        
         time.sleep(1)