Update app.py

app.py

@@ -3,13 +3,16 @@ import csv
 import gradio as gr
 from gradio import inputs, outputs
 import huggingface_hub
-from huggingface_hub import Repository
+from huggingface_hub import Repository, hf_hub_download, upload_file
 from datetime import datetime
 
+print("hfh", huggingface_hub.__version__)
+
 DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/data.csv"
-#DATA_FILENAME = "data.csv"
-#DATA_FILE = os.path.join("data", DATA_FILENAME)
-DATA_FILE = DATASET_REPO_URL 
+DATA_FILENAME = "data.csv"
+#DATA_FILE = os.path.join(DATA_DIRNAME, DATA_FILENAME)
+#DATA_DIRNAME = "data"
+DATA_FILE = os.path.join("data", DATA_FILENAME)
 
 HF_TOKEN = os.environ.get("HF_TOKEN")
 print("is none?", HF_TOKEN is None)
@@ -30,6 +33,16 @@ with open(os.path.join(gr.networking.STATIC_TEMPLATE_LIB, "frontend", "index.htm
     f.write(SCRIPT)
 
 
+try:
+    hf_hub_download(
+        repo_id=DATASET_REPO_ID,
+        filename=DATA_FILENAME,
+        cache_dir=DATA_DIRNAME,
+        force_filename=DATA_FILENAME
+    )
+except:
+    # file not found, we'll create it on the fly.
+    print("file not found, probably")
 
 repo = Repository(
     local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
@@ -63,7 +76,13 @@ def store_message(name: str, message: str):
             writer.writerow(
                 {"name": name, "message": message, "time": str(datetime.now())}
             )
-        commit_url = repo.push_to_hub()
+        commit_url = upload_file(
+            DATA_FILE,
+            path_in_repo=DATA_FILENAME,
+            repo_id=DATASET_REPO_ID,
+            token=HF_TOKEN,
+        )
+
         print(commit_url)
 
     return generate_html()
@@ -81,7 +100,7 @@ iface = gr.Interface(
     """,
     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)",
+    article=f"The dataset repo is [{DATASET_REPO_URL}]({DATASET_REPO_URL})",
 )
 
-iface.launch()
+iface.launch()