Update app.py
Browse files
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('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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#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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