Update app.py

app.py

@@ -65,27 +65,11 @@ import urllib.request
 import gradio as gr
 from gradio import inputs, outputs
 
-# feedback_file = Path("Seetha/Visualization") 
-# feedback_folder = feedback_file.parent
-# DATASET_REPO_URL = "https://huggingface.co/datasets/Seetha/Visualization"
-# DATA_FILENAME = "level2.json"
-# DATA_FILE = os.path.join("level2", DATA_FILENAME)
-
-# HF_TOKEN = os.environ.get("HF_TOKEN")
-# st.write("is none?", HF_TOKEN)
-
-# st.write("hfh", huggingface_hub.__version__)
-
-# repo = Repository(
-#     local_dir="level2", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
-# )
-# scheduler = CommitScheduler(
-#     repo_id="Visualization",
-#     repo_type="dataset",
-#     folder_path=feedback_folder,
-#     path_in_repo="level2",
-#     every=10,
-# )
+DATASET_REPO_URL = "https://huggingface.co/datasets/Seetha/Visualization/level2.json"
+DATASET_REPO_ID = "Seetha/Visualizaation/level2.json"
+DATA_FILENAME = "level2.json"
+DATA_FILE = os.path.join("level2", DATA_FILENAME)
+HF_TOKEN = os.environ.get("HF_TOKEN")
 
 def main():
 
@@ -557,7 +541,72 @@ def main():
   with open('detailedResults.json','w') as fi:
     #data = json.load(fi)
     fi.write(json_data)
-  
+
+  # 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)
+
+  try:
+    hf_hub_download(
+        repo_id=DATASET_REPO_ID,
+        filename=DATA_FILENAME,
+        cache_dir=DATA_DIRNAME,
+        force_filename=DATA_FILENAME
+    )
+  except:
+    st.write("file not found")
+
+  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 = json.dumps(json_data)
+        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():
+    if name and message:
+        with open(DATA_FILE, "a") as csvfile:
+            writer = json.dumps(json_data)
+            commit_url = repo.push_to_hub()
+    return generate_html()
+
+  iface = gr.Interface(
+    store_message,
+    "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})",
+  )
+
+  iface.launch()
   def convert_df(df):
 
   #IMPORTANT: Cache the conversion to prevent computation on every rerun