Update app.py

app.py

@@ -1,20 +1,17 @@
 import gradio as gr
-from huggingface_hub import InferenceClient, TextGenerationStreamOutput, CommitScheduler
+from huggingface_hub import InferenceClient, TextGenerationStreamOutput, CommitScheduler, Repository 
 import random
 from transformers import AutoTokenizer
 from mySystemPrompt import SYSTEM_PROMPT, SYSTEM_PROMPT_PLUS,SYSTEM_PROMPT_NOUS
 from datetime import datetime
-import json
-from pathlib import Path
-from uuid import uuid4
+import csv
 
 
 # For log
-DATASET_DIR =Path("FranziBot_feedback")
-DATASET_DIR.mkdir(parents=True,exist_ok=True)
-DATASET_PATH = DATASET_DIR / f"train-{uuid4()}.json"
-scheduler = CommitScheduler(repo_id="Ctaake/FranziBotLog",repo_type="dataset",folder_path=DATASET_DIR,path_in_repo="data")
-
+DATASET_REPO_URL = "https://huggingface.co/datasets/ctaake/FranziBotLog"
+DATA_FILENAME = "log.csv"
+DATA_FILE = os.path.join("data", DATA_FILENAME)
+repo = Repository(local_dir="data", clone_from=DATASET_REPO_URL)
 
 # Model which is used
 checkpoint = "CohereForAI/c4ai-command-r-v01"
@@ -97,11 +94,12 @@ def event_voting(vote_data: gr.LikeData):
     if vote_data.liked:
         pass
     else:
-        print("Dislike")
-        with scheduler.lock:
-            with DATASET_PATH.open("a") as f:
-                json.dump({"timestamp":datetime.now().isoformat(),"message":vote_data.value},f)
-                f.write("\n")
+        with open(DATA_FILE, "a") as csvfile:
+            writer = csv.DictWriter(csvfile, fieldnames=[ "message", "time"])
+            writer.writerow(
+                { "message": vote_data.value, "time": str(datetime.now().isoformat())})
+        commit_url = repo.push_to_hub()
+        print(commit_url)
         
 
 myAdditionalInputs = [