Update app.py
Browse files
app.py
CHANGED
@@ -2,8 +2,11 @@ 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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from openai import OpenAI
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from together import Together
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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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@@ -66,53 +69,85 @@ def generate_math_solution_openrouter(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 generate math solution using Together AI with support for images
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def generate_math_solution_together(api_key, problem_text,
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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
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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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# Add image if provided
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if image is not None:
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user_content.append({
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"type": "image_url",
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"image_url": {"url": image}
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})
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messages = [system_message]
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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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# For simplicity, we're assuming text-only history here
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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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#
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# Create the completion
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response = client.chat.completions.create(
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@@ -126,7 +161,7 @@ def generate_math_solution_together(api_key, problem_text, image=None, history=N
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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, solution))
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return solution, history
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@@ -134,27 +169,6 @@ def generate_math_solution_together(api_key, problem_text, image=None, history=N
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error_message = f"Error: {str(e)}"
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return error_message, history
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# Function to verify API key format
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def validate_openrouter_key(api_key):
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# This is a simple check - OpenRouter keys typically start with "sk-or-"
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if api_key.startswith("sk-or-") and len(api_key) > 20:
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return True
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return False
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# Function to validate Together AI API key (basic format check)
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def validate_together_key(api_key):
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# Together API keys usually have a specific format
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# This is just a simple length check for now
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if len(api_key) > 20:
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return True
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return False
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# Function to process LaTeX in the solution
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def process_solution(solution):
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# Replace $...$ with $$...$$ for better rendering in Gradio markdown
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solution = re.sub(r'(?<!\$)\$(?!\$)(.+?)(?<!\$)\$(?!\$)', r'$$\1$$', solution)
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return solution
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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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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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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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# 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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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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