Add more GS code 7

app.py

@@ -1,7 +1,6 @@
 
 import streamlit as st
 import pandas as pd
-# from streamlit_gsheets import GSheetsConnection
 import os
 import csv
 import huggingface_hub
@@ -28,3 +27,85 @@ from datetime import datetime
 st.title("Basic Streamlit App")
 name = st.text_input("Enter your name", '')
 st.write(f"Salutations {name}!")
+
+# https://huggingface.co/datasets/kbourne/first_dataset
+# https://huggingface.co/datasets/julien-c/persistent-space-dataset
+DATASET_REPO_URL = "https://huggingface.co/datasets/kbourne/first_dataset"
+st.write(f"DATASET_REPO_URL: {DATASET_REPO_URL}")
+
+DATA_FILENAME = "data.csv"
+DATA_FILE = os.path.join("data", DATA_FILENAME)
+st.write(f"DATA_FILENAME: {DATA_FILENAME}")
+
+HF_TOKEN = os.environ.get("HF_TOKEN")
+print("is none?", HF_TOKEN is None)
+
+print("hfh", huggingface_hub.__version__)
+
+# overriding/appending to the gradio template
+SCRIPT = """
+<script>
+if (!window.hasBeenRun) {
+    window.hasBeenRun = true;
+    console.log("should only happen once");
+    document.querySelector("button.submit").click();
+}
+</script>
+"""
+with open(os.path.join(gr.networking.STATIC_TEMPLATE_LIB, "frontend", "index.html"), "a") as f:
+    f.write(SCRIPT)
+
+repo = Repository(
+    local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
+)
+
+
+# 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['name']}</span>"
+#                 html += f"<span class='message'>{row['message']}</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, "message": message, "time": str(datetime.now())}
+#             )
+#         commit_url = repo.push_to_hub()
+#         print(commit_url)
+
+#     return generate_html()
+
+
+# iface = gr.Interface(
+#     store_message,
+#     [
+#         inputs.Textbox(placeholder="Your name"),
+#         inputs.Textbox(placeholder="Your message", lines=2),
+#     ],
+#     "html",
+#     css="""
+#     .message {background-color:cornflowerblue;color:white; padding:4px;margin:4px;border-radius:4px; }
+#     """,
+#     title="Reading/writing to a HuggingFace dataset repo from Spaces",
+#     description=f"This is a demo of how to do simple *shared data persistence* in a Gradio Space, backed by a dataset repo.",
+#     article=f"The dataset repo is [{DATASET_REPO_URL}]({DATASET_REPO_URL}) (open in new tab)",
+# )
+
+# iface.launch()