Update app.py
Browse files
app.py
CHANGED
@@ -2,8 +2,9 @@ import gradio as gr
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import os
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from openai import OpenAI
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import time
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def solve_competitive_problem(problem_statement, language_choice, api_key, progress=gr.Progress()):
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"""
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Generate a solution for a competitive programming problem
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@@ -11,6 +12,7 @@ def solve_competitive_problem(problem_statement, language_choice, api_key, progr
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problem_statement (str): The problem statement
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language_choice (str): Programming language for the solution
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api_key (str): OpenRouter API key
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progress: Gradio progress tracker
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Returns:
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@@ -36,49 +38,41 @@ def solve_competitive_problem(problem_statement, language_choice, api_key, progr
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# Create a more detailed prompt with language preference
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prompt = f"""
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You are an expert competitive programmer. Analyze the following problem and provide a step-by-step solution with explanations and code in {language_choice}.
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Problem:
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{problem_statement}
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Your response should include:
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1. Problem Analysis:
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- Clear restatement of the problem in your own words
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- Identification of input/output formats
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- Key constraints and edge cases to consider
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- Time and space complexity requirements
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-
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2. Approach:
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- High-level strategy to solve the problem
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- Why this approach is optimal compared to alternatives
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- Any mathematical insights or observations
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- Data structures that will be helpful
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-
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3. Algorithm:
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- Detailed step-by-step breakdown of the algorithm
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- Clear explanation of the logic behind each step
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- Time complexity analysis with justification
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- Space complexity analysis with justification
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- Any optimizations made to improve performance
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-
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4. Implementation:
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- Clean, efficient, and well-commented {language_choice} code
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- Proper variable naming and code organization
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- Error handling and edge case management
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- Optimized for both readability and performance
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-
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5. Testing:
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- Example test cases with expected outputs
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- Edge case testing scenarios
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- Explanation of how to verify correctness
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- Potential areas where the solution might need improvement
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Format your answer with clear headings and subheadings. Use markdown formatting for better readability.
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"""
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progress(0.5, "Generating solution...")
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# Call the model
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completion = client.chat.completions.create(
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extra_headers={
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"HTTP-Referer": "https://competitive-programming-assistant.app",
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@@ -92,12 +86,17 @@ Format your answer with clear headings and subheadings. Use markdown formatting
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}
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],
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temperature=0.7,
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stream=
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)
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progress(1.0, "Complete!")
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return solution
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@@ -105,27 +104,142 @@ Format your answer with clear headings and subheadings. Use markdown formatting
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except Exception as e:
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return f"Error: {str(e)}"
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# Create a Gradio interface
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with gr.Blocks(title="Competitive Programming Assistant", theme=
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-
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-
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""")
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with gr.Row():
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with gr.Column(scale=2):
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-
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problem_input = gr.Textbox(
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placeholder="Paste your competitive programming problem statement here...",
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@@ -139,11 +253,12 @@ with gr.Blocks(title="Competitive Programming Assistant", theme=gr.themes.Soft()
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label="Programming Language"
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)
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submit_btn = gr.Button("Generate Solution", variant="primary")
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with gr.Column(scale=3):
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solution_output = gr.Markdown(
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label="Generated Solution"
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)
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with gr.Accordion("About", open=False):
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@@ -171,12 +286,80 @@ with gr.Blocks(title="Competitive Programming Assistant", theme=gr.themes.Soft()
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5. **Testing** - Example test cases and verification methods
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""")
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#
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submit_btn.click(
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solve_competitive_problem,
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inputs=[problem_input, language, api_key_input],
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outputs=solution_output
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)
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# Launch the app
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if __name__ == "__main__":
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import os
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from openai import OpenAI
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import time
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import json
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def solve_competitive_problem(problem_statement, language_choice, api_key, remember_api_key, progress=gr.Progress()):
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"""
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Generate a solution for a competitive programming problem
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problem_statement (str): The problem statement
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language_choice (str): Programming language for the solution
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api_key (str): OpenRouter API key
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remember_api_key (bool): Whether to remember the API key
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progress: Gradio progress tracker
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Returns:
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# Create a more detailed prompt with language preference
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prompt = f"""
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You are an expert competitive programmer. Analyze the following problem and provide a step-by-step solution with explanations and code in {language_choice}.
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Problem:
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{problem_statement}
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Your response should include:
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44 |
1. Problem Analysis:
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45 |
- Clear restatement of the problem in your own words
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46 |
- Identification of input/output formats
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47 |
- Key constraints and edge cases to consider
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48 |
- Time and space complexity requirements
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|
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2. Approach:
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- High-level strategy to solve the problem
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- Why this approach is optimal compared to alternatives
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- Any mathematical insights or observations
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- Data structures that will be helpful
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3. Algorithm:
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- Detailed step-by-step breakdown of the algorithm
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- Clear explanation of the logic behind each step
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- Time complexity analysis with justification
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- Space complexity analysis with justification
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- Any optimizations made to improve performance
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4. Implementation:
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- Clean, efficient, and well-commented {language_choice} code
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- Proper variable naming and code organization
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- Error handling and edge case management
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- Optimized for both readability and performance
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5. Testing:
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- Example test cases with expected outputs
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- Edge case testing scenarios
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- Explanation of how to verify correctness
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- Potential areas where the solution might need improvement
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Format your answer with clear headings and subheadings. Use markdown formatting for better readability.
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"""
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progress(0.5, "Generating solution...")
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# Call the model with streaming enabled
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completion = client.chat.completions.create(
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extra_headers={
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"HTTP-Referer": "https://competitive-programming-assistant.app",
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}
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],
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temperature=0.7,
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stream=True # Enable streaming for partial results
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)
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# Process streaming response
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solution = ""
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for chunk in completion:
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if chunk.choices[0].delta.content is not None:
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solution += chunk.choices[0].delta.content
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# Update progress and yield partial results
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progress(0.5 + (len(solution) % 500) / 1000, "Generating solution...")
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yield solution
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progress(1.0, "Complete!")
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return solution
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except Exception as e:
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return f"Error: {str(e)}"
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def get_saved_api_key():
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"""
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Return a JavaScript snippet that retrieves the saved API key from localStorage
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"""
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return """
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function() {
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const savedKey = localStorage.getItem('openrouter_api_key');
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if (savedKey) {
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document.querySelector('#api_key_input input').value = savedKey;
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document.querySelector('#remember_api_key input').checked = true;
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}
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}
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"""
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def save_api_key(api_key, remember):
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"""
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Return a JavaScript snippet that saves or removes the API key from localStorage
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"""
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return f"""
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function() {{
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if ({str(remember).lower()}) {{
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localStorage.setItem('openrouter_api_key', "{api_key}");
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}} else {{
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localStorage.removeItem('openrouter_api_key');
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}}
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}}
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"""
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# Define theme options
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light_theme = gr.themes.Soft()
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dark_theme = gr.themes.Soft(
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primary_hue="slate",
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secondary_hue="slate",
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neutral_hue="slate",
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text_size=gr.themes.sizes.text_md,
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)
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# Create a Gradio interface
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with gr.Blocks(title="Competitive Programming Assistant", theme=light_theme, css="""
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/* Custom CSS for better responsiveness and styling */
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@media (max-width: 768px) {
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.container { padding: 10px !important; }
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.responsive-padding { padding: 8px !important; }
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}
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.code-block {
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background-color: #f7f7f7;
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border-radius: 4px;
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padding: 10px;
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font-family: monospace;
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}
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.dark-mode .code-block {
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background-color: #2d2d2d;
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color: #f1f1f1;
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}
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/* Custom styling for buttons */
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.action-button {
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margin-top: 10px !important;
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}
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""") as app:
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# JavaScript for theme toggling
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app.load(js="""
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function setupThemeToggle() {
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const themeToggle = document.getElementById('theme-toggle-btn');
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const savedTheme = localStorage.getItem('theme');
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if (savedTheme === 'dark') {
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document.body.classList.add('dark-mode');
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themeToggle.textContent = 'βοΈ Light Mode';
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}
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themeToggle.addEventListener('click', function() {
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document.body.classList.toggle('dark-mode');
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const isDark = document.body.classList.contains('dark-mode');
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localStorage.setItem('theme', isDark ? 'dark' : 'light');
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themeToggle.textContent = isDark ? 'βοΈ Light Mode' : 'π Dark Mode';
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// Update code block styling
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document.querySelectorAll('pre code').forEach(block => {
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if (isDark) {
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block.style.backgroundColor = '#2d2d2d';
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block.style.color = '#f1f1f1';
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} else {
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block.style.backgroundColor = '#f7f7f7';
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block.style.color = '#333';
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}
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});
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});
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}
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// Initialize syntax highlighting
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function setupPrism() {
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if (typeof Prism !== 'undefined') {
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Prism.highlightAll();
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}
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}
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// Apply saved API key on load
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document.addEventListener('DOMContentLoaded', function() {
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setupThemeToggle();
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const savedKey = localStorage.getItem('openrouter_api_key');
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if (savedKey) {
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document.querySelector('#api_key_input input').value = savedKey;
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document.querySelector('#remember_api_key input').checked = true;
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}
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});
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""")
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# App header with theme toggle
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with gr.Row(elem_classes="responsive-padding"):
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gr.Markdown("""
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# π Competitive Programming Assistant
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Upload a problem statement from Codeforces, LeetCode, or any competitive programming platform to get:
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- Step-by-step analysis
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- Optimal solution approach
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- Complete code implementation
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- Time and space complexity analysis
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Powered by the OlympicCoder model.
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""")
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theme_btn = gr.Button("π Dark Mode", elem_id="theme-toggle-btn")
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with gr.Row():
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with gr.Column(scale=2, elem_classes="responsive-padding"):
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with gr.Group():
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api_key_input = gr.Textbox(
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placeholder="Enter your OpenRouter API key here",
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label="OpenRouter API Key",
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type="password",
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elem_id="api_key_input"
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)
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remember_api_key = gr.Checkbox(
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label="Remember my API key",
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elem_id="remember_api_key"
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)
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problem_input = gr.Textbox(
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placeholder="Paste your competitive programming problem statement here...",
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label="Programming Language"
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)
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submit_btn = gr.Button("Generate Solution", variant="primary", elem_classes="action-button")
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with gr.Column(scale=3, elem_classes="responsive-padding"):
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solution_output = gr.Markdown(
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label="Generated Solution",
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elem_id="solution-output"
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)
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with gr.Accordion("About", open=False):
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5. **Testing** - Example test cases and verification methods
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""")
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# Load saved API key on page load
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app.load(fn=None, inputs=None, outputs=None, js=get_saved_api_key())
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# Handle API key saving when checkbox changes
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remember_api_key.change(
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fn=None,
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inputs=[api_key_input, remember_api_key],
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outputs=None,
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js=lambda api_key, remember: save_api_key(api_key, remember)
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)
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# Handle form submission with streaming
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submit_btn.click(
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solve_competitive_problem,
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inputs=[problem_input, language, api_key_input, remember_api_key],
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outputs=solution_output,
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js="""
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function(problem, language, api_key, remember) {
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// Before submission, save API key if requested
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if (remember) {
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localStorage.setItem('openrouter_api_key', api_key);
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}
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// Clear existing solution
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document.getElementById('solution-output').innerHTML = 'Generating solution...';
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// Enable syntax highlighting when solution loads
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setTimeout(function() {
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if (typeof Prism !== 'undefined') {
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Prism.highlightAll();
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}
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}, 1000);
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}
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"""
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)
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# Add JS for syntax highlighting
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app.load(js="""
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// Load Prism.js for syntax highlighting
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const prismScript = document.createElement('script');
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prismScript.src = 'https://cdnjs.cloudflare.com/ajax/libs/prism/1.25.0/prism.min.js';
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document.head.appendChild(prismScript);
|
331 |
+
|
332 |
+
const prismCss = document.createElement('link');
|
333 |
+
prismCss.rel = 'stylesheet';
|
334 |
+
prismCss.href = 'https://cdnjs.cloudflare.com/ajax/libs/prism/1.25.0/themes/prism.min.css';
|
335 |
+
document.head.appendChild(prismCss);
|
336 |
+
|
337 |
+
// Load additional language support
|
338 |
+
const languages = ['python', 'cpp', 'java', 'javascript'];
|
339 |
+
languages.forEach(lang => {
|
340 |
+
const script = document.createElement('script');
|
341 |
+
script.src = `https://cdnjs.cloudflare.com/ajax/libs/prism/1.25.0/components/prism-${lang}.min.js`;
|
342 |
+
document.head.appendChild(script);
|
343 |
+
});
|
344 |
+
|
345 |
+
// Observe DOM changes to apply syntax highlighting to new content
|
346 |
+
const observer = new MutationObserver(mutations => {
|
347 |
+
mutations.forEach(mutation => {
|
348 |
+
if (mutation.addedNodes.length) {
|
349 |
+
setTimeout(() => {
|
350 |
+
if (typeof Prism !== 'undefined') {
|
351 |
+
Prism.highlightAll();
|
352 |
+
}
|
353 |
+
}, 100);
|
354 |
+
}
|
355 |
+
});
|
356 |
+
});
|
357 |
+
|
358 |
+
observer.observe(document.getElementById('solution-output'), {
|
359 |
+
childList: true,
|
360 |
+
subtree: true
|
361 |
+
});
|
362 |
+
""")
|
363 |
|
364 |
# Launch the app
|
365 |
if __name__ == "__main__":
|