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Create app.py
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app.py
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import gradio as gr
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import csv # Import csv here as well if not importing the whole validator.py
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# You can either paste the validate_tsv_file function directly here
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# OR import it if it's in a separate file (e.g., from validator import validate_tsv_file)
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# --- Paste the validate_tsv_file function here if not importing ---
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def validate_tsv_file(file_path):
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"""
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Validates a TSV file according to the specified rules.
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Args:
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file_path (str): The path to the TSV file.
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Returns:
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str: A message indicating whether the file is valid or listing errors.
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"""
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errors = []
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last_end_time = None # To store the end_time of the previous row
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try:
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with open(file_path, 'r', encoding='utf-8', newline='') as tsvfile:
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reader = csv.reader(tsvfile, delimiter='\t')
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for row_num, row in enumerate(reader, 1):
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# Check for correct number of columns
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if len(row) != 3:
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errors.append(f"Row {row_num}: Expected 3 columns, but found {len(row)}. Content: '{' | '.join(row)}'")
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last_end_time = None
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continue
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start_time_str, end_time_str, text_content = row
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# Validate timestamps are numbers
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try:
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start_time = float(start_time_str)
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end_time = float(end_time_str)
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except ValueError:
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errors.append(f"Row {row_num}: Timestamps must be numeric. Found start='{start_time_str}', end='{end_time_str}'.")
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last_end_time = None
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continue
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# Rule 1: End timestamp > Start timestamp
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if end_time <= start_time:
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errors.append(f"Row {row_num}: End timestamp ({end_time}) must be greater than start timestamp ({start_time}).")
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# Rule 2: Current row's start_time > previous row's end_time
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if last_end_time is not None:
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if start_time <= last_end_time: # Must be strictly greater
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errors.append(f"Row {row_num}: Start timestamp ({start_time}) must be greater than the previous segment's end timestamp ({last_end_time}).")
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last_end_time = end_time
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except FileNotFoundError:
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return f"Error: File not found at '{file_path}'."
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except Exception as e:
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return f"An unexpected error occurred: {str(e)}"
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if not errors:
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return "TSV file is valid and follows all timestamp rules!"
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else:
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return "TSV file has the following issues:\n" + "\n".join(errors)
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# --- End of pasted/imported function ---
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def handle_validation(uploaded_file_obj):
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if uploaded_file_obj is None:
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return "Please upload a TSV file first."
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# Gradio provides a temporary file object. We need its path.
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file_path = uploaded_file_obj.name
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return validate_tsv_file(file_path)
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# --- Gradio Interface Definition ---
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iface = gr.Interface(
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fn=handle_validation,
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inputs=gr.File(label="Upload TSV File (.tsv)", file_types=[".tsv"]),
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outputs=gr.Textbox(label="Validation Result", lines=15, show_copy_button=True),
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title="TSV Timestamp Validator",
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description="Upload a TSV file with columns: `start_timestamp` (tab) `end_timestamp` (tab) `text`. "
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"This tool checks if: \n"
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"1. Each row has 3 columns.\n"
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"2. Timestamps are numeric.\n"
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"3. End timestamp > Start timestamp for each segment.\n"
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"4. Start timestamp of a segment > End timestamp of the previous segment.",
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allow_flagging="never" # Usually not needed for utility apps
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)
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if __name__ == "__main__":
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iface.launch()
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