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Create loading_animations.py
Browse files- loading_animations.py +146 -0
loading_animations.py
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"""
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Loading animations for Gradio chatbot interface.
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Contains functions to generate animated thinking indicators.
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"""
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import random
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def create_thinking_indicator(message="Thinking"):
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"""
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Creates an HTML thinking indicator with animated dots.
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Args:
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message (str): The text to show before the dots (default: "Thinking")
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Returns:
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str: HTML string with animated thinking indicator
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"""
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return f'''<div class="thinking-indicator">
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{message}<div class="dots-container">
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<span class="dot"></span>
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<span class="dot"></span>
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<span class="dot"></span>
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</div>
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</div>'''
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def get_random_thinking_message():
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"""
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Returns a random thinking message for variety.
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Returns:
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str: Random thinking message
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"""
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messages = [
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"Thinking",
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"Processing",
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"Analyzing",
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"Working on it",
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"Let me think",
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"Calculating",
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"Considering",
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"Evaluating"
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]
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return random.choice(messages)
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def create_random_thinking_indicator():
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"""
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Creates a thinking indicator with a random message.
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Returns:
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str: HTML string with animated thinking indicator
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"""
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return create_thinking_indicator(get_random_thinking_message())
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def get_thinking_indicator_by_query(query):
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"""
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Creates a context-appropriate thinking indicator based on the user query.
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Args:
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query (str): The user's query text
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Returns:
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str: HTML string with context-appropriate thinking indicator
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"""
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query_lower = query.lower()
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if any(word in query_lower for word in ["math", "calculate", "equation", "formula"]):
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return create_thinking_indicator("Calculating")
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elif any(word in query_lower for word in ["graph", "chart", "plot", "visualization"]):
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return create_thinking_indicator("Creating visualization")
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elif any(word in query_lower for word in ["explain", "define", "what is"]):
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return create_thinking_indicator("Analyzing")
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elif any(word in query_lower for word in ["solve", "problem", "solution"]):
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return create_thinking_indicator("Solving")
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elif any(word in query_lower for word in ["code", "program", "algorithm"]):
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return create_thinking_indicator("Processing")
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else:
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return create_random_thinking_indicator()
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def create_custom_thinking_indicator(message, dot_count=3):
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"""
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Creates a custom thinking indicator with specified message and dot count.
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Args:
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message (str): Custom message to display
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dot_count (int): Number of animated dots (default: 3)
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Returns:
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str: HTML string with custom thinking indicator
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"""
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dots = ''.join(['<span class="dot"></span>' for _ in range(dot_count)])
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return f'''<div class="thinking-indicator">
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{message}<div class="dots-container">
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{dots}
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</div>
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</div>'''
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def create_processing_stages():
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"""
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Returns a list of processing stage messages for longer operations.
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Returns:
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list: List of progressive thinking messages
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"""
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return [
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"Reading your question",
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"Analyzing the request",
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"Gathering information",
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"Processing response",
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"Finalizing answer"
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]
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def get_stage_thinking_indicator(stage_index):
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"""
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Creates thinking indicators for multi-stage processing.
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Args:
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stage_index (int): Current stage (0-based index)
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Returns:
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str: HTML string for current stage thinking indicator
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"""
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stages = create_processing_stages()
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if 0 <= stage_index < len(stages):
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return create_thinking_indicator(stages[stage_index])
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else:
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return create_thinking_indicator("Processing")
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# Quick usage examples:
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if __name__ == "__main__":
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# Test the functions
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print("Basic thinking indicator:")
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print(create_thinking_indicator())
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print()
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print("Random thinking indicator:")
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print(create_random_thinking_indicator())
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print()
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print("Query-based thinking indicator:")
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print(get_thinking_indicator_by_query("What's the derivative of x^2?"))
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print()
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print("Custom thinking indicator:")
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print(create_custom_thinking_indicator("Deep thinking", 5))
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