awacke1 commited on
Commit
fd94013
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1 Parent(s): 786fd99

Update app.py

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Files changed (1) hide show
  1. app.py +24 -24
app.py CHANGED
@@ -19,36 +19,36 @@ from huggingface_hub import Repository, hf_hub_download, upload_file
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  from datetime import datetime
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  # created new dataset as awacke1/MindfulStory.csv
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- DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/MindfulStory.csv"
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- DATASET_REPO_ID = "awacke1/MindfulStory.csv"
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- DATA_FILENAME = "MindfulStory.csv"
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- DATA_FILE = os.path.join("data", DATA_FILENAME)
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  HF_TOKEN = os.environ.get("HF_TOKEN")
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  # Download dataset repo using hub download
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- try:
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- hf_hub_download(
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- repo_id=DATASET_REPO_ID,
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- filename=DATA_FILENAME,
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- cache_dir=DATA_DIRNAME,
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- force_filename=DATA_FILENAME
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- )
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- except:
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- print("file not found")
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- def AIMemory(name: str, message: str):
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- if name and message:
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- with open(DATA_FILE, "a") as csvfile:
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- writer = csv.DictWriter(csvfile, fieldnames=["name", "message", "time"])
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- writer.writerow({"name": name, "message": message, "time": str(datetime.now())})
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- commit_url = repo.push_to_hub()
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- return {"name": name, "message": message, "time": str(datetime.now())}
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-
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- with open('Mindfulness.txt', 'r') as file:
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- context = file.read()
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  # Set up cloned dataset from repo for operations
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- repo = Repository( local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN)
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  # set up ASR
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  asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
 
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  from datetime import datetime
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  # created new dataset as awacke1/MindfulStory.csv
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+ #DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/MindfulStory.csv"
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+ #DATASET_REPO_ID = "awacke1/MindfulStory.csv"
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+ #DATA_FILENAME = "MindfulStory.csv"
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+ #DATA_FILE = os.path.join("data", DATA_FILENAME)
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  HF_TOKEN = os.environ.get("HF_TOKEN")
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  # Download dataset repo using hub download
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+ #try:
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+ # hf_hub_download(
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+ # repo_id=DATASET_REPO_ID,
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+ # filename=DATA_FILENAME,
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+ # cache_dir=DATA_DIRNAME,
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+ # force_filename=DATA_FILENAME
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+ # )
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+ #except:
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+ # print("file not found")
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+ #def AIMemory(name: str, message: str):
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+ # if name and message:
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+ # with open(DATA_FILE, "a") as csvfile:
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+ # writer = csv.DictWriter(csvfile, fieldnames=["name", "message", "time"])
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+ # writer.writerow({"name": name, "message": message, "time": str(datetime.now())})
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+ # commit_url = repo.push_to_hub()
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+ # return {"name": name, "message": message, "time": str(datetime.now())}
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+
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+ #with open('Mindfulness.txt', 'r') as file:
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+ # context = file.read()
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  # Set up cloned dataset from repo for operations
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+ #repo = Repository( local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN)
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  # set up ASR
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  asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")