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Update app.py
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app.py
CHANGED
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@@ -11,11 +11,13 @@ from gradio import inputs, outputs
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import huggingface_hub
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from huggingface_hub import Repository, hf_hub_download, upload_file
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from datetime import datetime
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DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/Carddata.csv"
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DATASET_REPO_ID = "awacke1/Carddata.csv"
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DATA_FILENAME = "Carddata.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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SCRIPT = """
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<script>
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if (!window.hasBeenRun) {
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@@ -25,18 +27,19 @@ if (!window.hasBeenRun) {
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}
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</script>
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"""
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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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repo = Repository(
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local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
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)
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def generate_html() -> str:
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with open(DATA_FILE) as csvfile:
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reader = csv.DictReader(csvfile)
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@@ -120,7 +123,7 @@ def chat(message, history):
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history_useful = add_note_to_history(response, history_useful)
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list_history = history_useful[0].split('</s> <s>')
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history.append((list_history[-2], list_history[-1]))
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store_message(message, response) # Save to dataset
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return history, history
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gr.Interface(
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import huggingface_hub
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from huggingface_hub import Repository, hf_hub_download, upload_file
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from datetime import datetime
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+
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DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/Carddata.csv"
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DATASET_REPO_ID = "awacke1/Carddata.csv"
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DATA_FILENAME = "Carddata.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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+
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SCRIPT = """
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<script>
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if (!window.hasBeenRun) {
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}
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</script>
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"""
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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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#repo = Repository(
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# local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
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#)
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def generate_html() -> str:
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with open(DATA_FILE) as csvfile:
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reader = csv.DictReader(csvfile)
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history_useful = add_note_to_history(response, history_useful)
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list_history = history_useful[0].split('</s> <s>')
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history.append((list_history[-2], list_history[-1]))
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# store_message(message, response) # Save to dataset
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return history, history
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gr.Interface(
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