Update app.py

app.py

@@ -12,6 +12,51 @@ import numpy as np
 from TTS.utils.manage import ModelManager
 from TTS.utils.synthesizer import Synthesizer
 
+# 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
+
+# created new dataset as awacke1/MindfulStory.csv
+DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/MindfulStory.csv"
+DATASET_REPO_ID = "awacke1/MindfulStory.csv"
+DATA_FILENAME = "MindfulStory.csv"
+DATA_FILE = os.path.join("data", DATA_FILENAME)
+HF_TOKEN = os.environ.get("HF_TOKEN")
+# Download dataset repo using hub download
+try:
+    hf_hub_download(
+        repo_id=DATASET_REPO_ID,
+        filename=DATA_FILENAME,
+        cache_dir=DATA_DIRNAME,
+        force_filename=DATA_FILENAME
+    )
+except:
+    print("file not found")
+def AIMemory(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()
+    return {"name": name, "message": message, "time": str(datetime.now())}
+
+with open('Mindfulness.txt', 'r') as file:
+        context = file.read()
+   
+
+
+# Set up cloned dataset from repo for operations
+repo = Repository(
+    local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
+)
+
+
+
 @st.experimental_singleton
 def get_db_firestore():
     cred = credentials.Certificate('test.json')