Spaces:
Running
Running
adds feedback-dataset
Browse files
app.py
CHANGED
@@ -8,6 +8,7 @@ from dotenv import load_dotenv
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import csv
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from datetime import datetime
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import json
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# Load environment variables from .env file if it exists
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load_dotenv()
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@@ -35,8 +36,9 @@ FEEDBACK_FILE = "feedback.csv"
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FEEDBACK_HEADERS = ["timestamp", "session_id", "message", "response", "rating", "comment"]
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def save_feedback(session_id, message, response, rating, comment):
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"""Save feedback to CSV file."""
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try:
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file_exists = os.path.isfile(FEEDBACK_FILE)
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with open(FEEDBACK_FILE, 'a', newline='') as f:
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writer = csv.DictWriter(f, fieldnames=FEEDBACK_HEADERS)
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@@ -50,6 +52,20 @@ def save_feedback(session_id, message, response, rating, comment):
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"rating": rating,
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"comment": comment
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})
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except Exception as e:
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print(f"Error saving feedback: {e}")
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import csv
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from datetime import datetime
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import json
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import huggingface_hub
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# Load environment variables from .env file if it exists
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load_dotenv()
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FEEDBACK_HEADERS = ["timestamp", "session_id", "message", "response", "rating", "comment"]
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def save_feedback(session_id, message, response, rating, comment):
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"""Save feedback to CSV file and upload to Hugging Face."""
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try:
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# Save to local CSV file
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file_exists = os.path.isfile(FEEDBACK_FILE)
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with open(FEEDBACK_FILE, 'a', newline='') as f:
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writer = csv.DictWriter(f, fieldnames=FEEDBACK_HEADERS)
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"rating": rating,
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"comment": comment
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})
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# Upload to Hugging Face if token is available
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hf_token = os.getenv("HF_TOKEN")
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if hf_token:
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try:
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api = huggingface_hub.HfApi(token=hf_token)
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api.upload_file(
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path_or_fileobj=FEEDBACK_FILE,
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path_in_repo=FEEDBACK_FILE,
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repo_id=os.getenv("HF_REPO_ID", "your-username/your-repo"),
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repo_type="dataset"
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)
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except Exception as e:
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print(f"Warning: Failed to upload feedback to Hugging Face: {e}")
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except Exception as e:
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print(f"Error saving feedback: {e}")
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