Update v1.txt
Browse files
v1.txt
CHANGED
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import gradio as gr
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import os
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import re
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from openai import OpenAI
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import time
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# Function to generate math solution using the Phi-4-reasoning-plus model
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def
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if not api_key.strip():
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return "Please enter your OpenRouter API key.", history
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@@ -65,39 +69,128 @@ def generate_math_solution(api_key, problem_text, history=None):
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error_message = f"Error: {str(e)}"
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return error_message, history
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# Function to
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def
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# Function to
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def
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# Define the Gradio interface
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def create_demo():
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with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as demo:
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gr.Markdown("# 📚 Advanced Math Tutor")
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gr.Markdown("""
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This application
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""")
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# Main tabs
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with gr.Tabs():
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-
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with gr.Row():
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with gr.Column(scale=1):
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-
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label="OpenRouter API Key",
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placeholder="Enter your OpenRouter API key (starts with sk-or-)",
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type="password"
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)
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-
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label="Math Problem",
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placeholder="Enter your math problem here...",
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lines=5
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["Calculate the area of a circle with radius 5 cm"],
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["Find all values of x that satisfy the equation: log₂(x-1) + log₂(x+3) = 5"]
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],
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inputs=[
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label="Example Problems"
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)
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with gr.Row():
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-
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-
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with gr.Column(scale=2):
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-
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# Store conversation history (invisible to user)
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-
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# Button actions
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-
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fn=
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inputs=[
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outputs=[
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)
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-
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fn=lambda: ("", None),
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inputs=[],
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outputs=[
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)
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with gr.TabItem("Help"):
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gr.Markdown("""
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## How to Use the Advanced Math Tutor
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### Getting Started
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-
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2. Sign up at [OpenRouter](https://openrouter.ai/) to get your API key
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3. Enter your API key in the designated field
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### Solving Math Problems
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- Type or paste your math problem in the input field
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- Click "Solve Problem" to get a detailed step-by-step solution
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- The solution will include explanations for each step
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- You can also try one of the provided example problems
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### Tips for Best Results
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- Be specific in your problem description
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- For complex equations, use clear notation
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- For algebraic expressions, use ^ for exponents (e.g., x^2 for x²)
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- Use parentheses to group terms clearly
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### Types of Problems You Can Solve
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- Algebra (equations, inequalities, systems of equations)
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gr.Markdown("""
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---
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### About
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This application uses Microsoft's Phi-4-reasoning-plus model via OpenRouter
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-
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""")
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return demo
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import gradio as gr
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import os
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import re
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import time
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import base64
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from openai import OpenAI
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from together import Together
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from PIL import Image
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import io
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# Function to generate math solution using the Phi-4-reasoning-plus model via OpenRouter
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def generate_math_solution_openrouter(api_key, problem_text, history=None):
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if not api_key.strip():
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return "Please enter your OpenRouter API key.", history
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error_message = f"Error: {str(e)}"
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return error_message, history
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# Function to convert image to base64
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def image_to_base64(image_path):
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if image_path is None:
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return None
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try:
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with open(image_path, "rb") as img_file:
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return base64.b64encode(img_file.read()).decode("utf-8")
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except Exception as e:
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print(f"Error converting image to base64: {str(e)}")
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return None
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# Function to generate math solution using Together AI with support for images
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def generate_math_solution_together(api_key, problem_text, image_path=None, history=None):
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if not api_key.strip():
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return "Please enter your Together AI API key.", history
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if not problem_text.strip() and image_path is None:
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return "Please enter a math problem or upload an image of a math problem.", history
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try:
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client = Together(api_key=api_key)
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# Create the base message structure
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messages = [
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{
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"role": "system",
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"content": """You are an expert math tutor who explains concepts clearly and thoroughly.
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Analyze the given math problem and provide a detailed step-by-step solution.
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For each step:
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1. Show the mathematical operation
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2. Explain why this step is necessary
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3. Connect it to relevant mathematical concepts
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Format your response with clear section headers using markdown.
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Begin with an "Initial Analysis" section, follow with numbered steps,
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and conclude with a "Final Answer" section."""
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}
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]
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# Add conversation history if it exists
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if history:
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for exchange in history:
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messages.append({"role": "user", "content": exchange[0]})
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if exchange[1]: # Check if there's a response
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messages.append({"role": "assistant", "content": exchange[1]})
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# Prepare the user message content
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user_message_content = []
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# Add text content if provided
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if problem_text.strip():
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user_message_content.append({
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"type": "text",
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"text": f"Solve this math problem: {problem_text}"
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})
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else:
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user_message_content.append({
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"type": "text",
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"text": "Solve this math problem from the image:"
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})
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# Add image if provided
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if image_path:
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# Convert image to base64
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base64_image = image_to_base64(image_path)
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if base64_image:
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user_message_content.append({
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"type": "image_url",
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"image_url": {
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"url": f"data:image/jpeg;base64,{base64_image}"
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}
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})
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# Add the user message with content
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messages.append({
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"role": "user",
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"content": user_message_content
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})
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# Create the completion
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response = client.chat.completions.create(
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model="meta-llama/Llama-Vision-Free",
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messages=messages,
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stream=False
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)
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solution = response.choices[0].message.content
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# Update history - for simplicity, just store the text problem
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if history is None:
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history = []
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history.append((problem_text if problem_text.strip() else "Image problem", solution))
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return solution, history
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except Exception as e:
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error_message = f"Error: {str(e)}"
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return error_message, history
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# Define the Gradio interface
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def create_demo():
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with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as demo:
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gr.Markdown("# 📚 Advanced Math Tutor")
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gr.Markdown("""
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This application provides step-by-step solutions to math problems using advanced AI models.
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Choose between OpenRouter's Phi-4-reasoning-plus for text-based problems or Together AI's
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Llama-Vision for problems with images.
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""")
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# Main tabs
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with gr.Tabs():
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# Text-based problem solver (OpenRouter)
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with gr.TabItem("Text Problem Solver (OpenRouter)"):
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with gr.Row():
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with gr.Column(scale=1):
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openrouter_api_key = gr.Textbox(
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label="OpenRouter API Key",
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placeholder="Enter your OpenRouter API key (starts with sk-or-)",
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type="password"
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)
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text_problem_input = gr.Textbox(
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label="Math Problem",
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placeholder="Enter your math problem here...",
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lines=5
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["Calculate the area of a circle with radius 5 cm"],
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["Find all values of x that satisfy the equation: log₂(x-1) + log₂(x+3) = 5"]
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],
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inputs=[text_problem_input],
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label="Example Problems"
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)
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with gr.Row():
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openrouter_submit_btn = gr.Button("Solve Problem", variant="primary")
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openrouter_clear_btn = gr.Button("Clear")
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with gr.Column(scale=2):
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openrouter_solution_output = gr.Markdown(label="Solution")
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# Store conversation history (invisible to user)
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openrouter_conversation_history = gr.State(value=None)
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# Button actions
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openrouter_submit_btn.click(
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fn=generate_math_solution_openrouter,
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inputs=[openrouter_api_key, text_problem_input, openrouter_conversation_history],
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outputs=[openrouter_solution_output, openrouter_conversation_history]
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)
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openrouter_clear_btn.click(
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fn=lambda: ("", None),
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inputs=[],
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outputs=[openrouter_solution_output, openrouter_conversation_history]
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)
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# Image-based problem solver (Together AI)
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with gr.TabItem("Image Problem Solver (Together AI)"):
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with gr.Row():
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with gr.Column(scale=1):
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together_api_key = gr.Textbox(
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label="Together AI API Key",
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placeholder="Enter your Together AI API key",
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type="password"
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)
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together_problem_input = gr.Textbox(
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label="Problem Description (Optional)",
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placeholder="Enter additional context for the image problem...",
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lines=3
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)
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together_image_input = gr.Image(
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label="Upload Math Problem Image",
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type="filepath"
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)
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with gr.Row():
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together_submit_btn = gr.Button("Solve Problem", variant="primary")
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together_clear_btn = gr.Button("Clear")
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with gr.Column(scale=2):
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together_solution_output = gr.Markdown(label="Solution")
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# Store conversation history (invisible to user)
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together_conversation_history = gr.State(value=None)
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# Button actions
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together_submit_btn.click(
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fn=generate_math_solution_together,
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inputs=[together_api_key, together_problem_input, together_image_input, together_conversation_history],
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outputs=[together_solution_output, together_conversation_history]
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)
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together_clear_btn.click(
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fn=lambda: ("", None),
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inputs=[],
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outputs=[together_solution_output, together_conversation_history]
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)
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# Help tab
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with gr.TabItem("Help"):
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gr.Markdown("""
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## How to Use the Advanced Math Tutor
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### Getting Started
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+
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#### For Text-Based Problems (OpenRouter)
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1. You'll need an API key from OpenRouter
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2. Sign up at [OpenRouter](https://openrouter.ai/) to get your API key
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3. Enter your API key in the designated field in the "Text Problem Solver" tab
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+
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#### For Image-Based Problems (Together AI)
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1. You'll need an API key from Together AI
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2. Sign up at [Together AI](https://www.together.ai/) to get your API key
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3. Enter your API key in the designated field in the "Image Problem Solver" tab
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4. Upload an image of your math problem
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5. Optionally add text to provide additional context
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### Solving Math Problems
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- For text problems: Type or paste your math problem in the input field
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- For image problems: Upload a clear image of the math problem
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- Click "Solve Problem" to get a detailed step-by-step solution
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- The solution will include explanations for each step
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### Tips for Best Results
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- Be specific in your problem description
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- For complex equations, use clear notation
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- For algebraic expressions, use ^ for exponents (e.g., x^2 for x²)
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- Use parentheses to group terms clearly
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- For images, ensure the math problem is clearly visible and well-lit
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### Types of Problems You Can Solve
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- Algebra (equations, inequalities, systems of equations)
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gr.Markdown("""
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---
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### About
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This application uses Microsoft's Phi-4-reasoning-plus model via OpenRouter for text-based problems
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and Llama-Vision-Free via Together AI for image-based problems.
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Your API keys are required but not stored permanently.
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""")
|
| 323 |
|
| 324 |
return demo
|