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app.py

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+import gradio as gr
+import os
+import re
+import time
+import base64 # image has to be converted to base64 
+from openai import OpenAI #openrouter access
+from together import Together
+from PIL import Image  #pillow for image processing
+import io
+
+### function to create math solution from math problem text
+
+def generate_math_solution_openrouter(api_key, problem_text, history=None):
+    if not api_key.strip():
+        return "Please enter your OpenRouter API key.", history
+
+    if not problem_text.strip():
+        return "Please enter a math problem so that I can solve it for you!", 
+
+    try:
+        client=OpenAI(
+            base_url="https://openrouter.ai/api/v1",
+            api_key=api_key,
+        )
+
+        messages= [
+            {"role": "system", "content": 
+             """You are an expert math tutor who explains concepts clearly and thoroughly.
+             Analyze the given math problem and provide a detailed step-by-step solution.
+             For each step:
+             1. Show the mathematical operation
+             2. Explain why this step is necessary
+             3. Connect it to relevant mathematical concepts
+             
+             Format your response with clear section headers using markdown.
+             Begin with an "Initial Analysis" section, follow with numbered steps,
+             and conclude with a "Final Answer" section."""},
+        ]
+
+        if history:
+            for exchange in history:
+                messages.append({"role": "user", "content": exchange[0]}) #asks a math prob
+                if exchange[1]:  # Check if there's a response
+                    messages.append({"role": "assistant", "content": exchange[1]}) #AI responses with a solution
+
+        # Add the current problem
+        messages.append({"role": "user", "content": f"Solve this math problem step-by-step: {problem_text}"}) 
+
+        # Create the completion
+        completion = client.chat.completions.create(
+            model="minimax/minimax-m2:free",
+            messages=messages,
+            extra_headers={
+                "HTTP-Referer": "https://advancedmathtutor.edu",
+                "X-Title": "Advanced Math Tutor",
+            }
+        )
+
+        solution=completion.choices[0].message.content
+
+        # Update history
+        if history is None: #no convo
+            history = [] #my all convo saved here
+        history.append((problem_text, solution)) #now i update my convo history
+
+        return solution, history
+
+    except Exception as e:
+        error_message = f"Error: {str(e)}"
+        return error_message, history
+
+
+#image processing 
+
+def image_to_base64(image_path):
+    if image_path is None:
+        return None
+    
+    try:
+        with open(image_path, "rb") as img_file:
+            return base64.b64encode(img_file.read()).decode("utf-8")
+    except Exception as e:
+        print(f"Error converting image to base64: {str(e)}")
+        return None
+
+#### function for a math problem that uses image data (Together)
+
+def generate_math_solution_together(api_key, problem_text, image_path=None, history=None):
+    if not api_key.strip():
+        return "Please enter your Together AI API key.", history
+    
+    if not problem_text.strip() and image_path is None:
+        return "Please enter a math problem or upload an image of a math problem.", history
+
+    try:
+        client = Together(api_key=api_key)
+
+        messages= [
+            {"role": "system", "content": 
+             """You are an expert math tutor who explains concepts clearly and thoroughly.
+             Analyze the given math problem and provide a detailed step-by-step solution.
+             For each step:
+             1. Show the mathematical operation
+             2. Explain why this step is necessary
+             3. Connect it to relevant mathematical concepts
+             
+             Format your response with clear section headers using markdown.
+             Begin with an "Initial Analysis" section, follow with numbered steps,
+             and conclude with a "Final Answer" section."""},
+        ]
+
+        # Add conversation history if it exists
+        if history:
+            for exchange in history:
+                messages.append({"role": "user", "content": exchange[0]})
+                if exchange[1]:  # Check if there's a response
+                    messages.append({"role": "assistant", "content": exchange[1]})
+
+        # Prepare the user message content
+        user_message_content = []  # WE are going to add some instructions regarding how to solve the math problem in the image
+
+        # calculate the area of a circle with radius 6 cm (Image of a problem)
+
+        #problem text / user message = Before calculating area convert radius of 6 cm to meter first
+
+        # Add text content if provided
+        if problem_text.strip(): #image+instruction
+            user_message_content.append({
+                "type": "text",
+                "text": f"Solve this math problem: {problem_text}" #Before calculating area convert radius of 6 cm to meter first
+            })
+        else: #image
+            user_message_content.append({
+                "type": "text",
+                "text": "Solve this math problem from the image:"
+            })
+
+        # Add image if provided
+        if image_path:
+            # Convert image to base64
+            base64_image = image_to_base64(image_path)
+            if base64_image:
+                user_message_content.append({
+                    "type": "image_url",
+                    "image_url": {
+                        "url": f"data:image/jpeg;base64,{base64_image}"
+                    }
+                })
+
+        # Add the user message with content
+        messages.append({
+            "role": "user", #conversation saved with image data+usermessage/instruction
+            "content": user_message_content
+        })
+
+        
+        response=client.chat.completions.create( #Together
+            model="ServiceNow-AI/Apriel-1.5-15b-Thinker",
+            messages=messages,
+            stream=False
+        )
+
+        solution=response.choices[0].message.content #problem----> ans syntax
+
+        # Update history - for simplicity, just store the text problem
+        if history is None:
+            history = []
+        history.append((problem_text if problem_text.strip() else "Image problem", solution))
+        
+        return solution, history
+
+    except Exception as e:
+        error_message = f"Error: {str(e)}"
+        return error_message, history
+
+def create_demo(): #interface design complete
+    with gr.Blocks(theme=gr.themes.Ocean(primary_hue="blue")) as demo:
+        gr.Markdown("# 📚 Advanced Math Tutor")
+        gr.Markdown("""
+        This application provides step-by-step solutions to math problems using advanced AI models.
+        Choose between OpenRouter's Phi-4-reasoning-plus for text-based problems or Together AI's 
+        Llama-Vision for problems with images.
+        """)
+
+        with gr.Tabs():
+            with gr.TabItem("Text Problem Solver (OpenRouter)"):
+                with gr.Row():
+                    with gr.Column(scale=1): #left side column design complete
+                        openrouter_api_key = gr.Textbox(
+                            label="OpenRouter API Key", 
+                            placeholder="Enter your OpenRouter API key (starts with sk-or-)",
+                            type="password"
+                        )
+                        text_problem_input = gr.Textbox(
+                            label="Math Problem", 
+                            placeholder="Enter your math problem here...", #Solve the quadratic equation: 3x² + 5x - 2 = 0"
+                            lines=5
+                        )
+                        example_problems = gr.Examples(
+                            examples=[
+                                ["Solve the quadratic equation: 3x² + 5x - 2 = 0"],
+                                ["Find the derivative of f(x) = x³ln(x)"],
+                                ["Calculate the area of a circle with radius 5 cm"],
+                                ["Find all values of x that satisfy the equation: log₂(x-1) + log₂(x+3) = 5"]
+                            ],
+                            inputs=[text_problem_input],
+                            label="Example Problems"
+                        )
+                        with gr.Row():
+                            openrouter_submit_btn = gr.Button("Solve Problem", variant="primary")
+                            openrouter_clear_btn = gr.Button("Clear")
+                    
+                    with gr.Column(scale=2):
+                        openrouter_solution_output = gr.Markdown(label="Solution")
+
+                    # Store conversation history (invisible to user)
+                    openrouter_conversation_history = gr.State(value=None)
+
+                    # Button actions
+                    openrouter_submit_btn.click(
+                        fn=generate_math_solution_openrouter, #text problem solve
+                        inputs=[openrouter_api_key, text_problem_input, openrouter_conversation_history],
+                        outputs=[openrouter_solution_output, openrouter_conversation_history]
+                    )
+
+                    openrouter_clear_btn.click(
+                        fn=lambda: ("", None),
+                        inputs=[],
+                        outputs=[openrouter_solution_output, openrouter_conversation_history]
+                    )
+
+            with gr.TabItem("Image Problem Solver (Together AI)"):
+                with gr.Row():
+                    with gr.Column(scale=1):
+                        together_api_key = gr.Textbox(
+                            label="Together AI API Key", 
+                            placeholder="Enter your Together AI API key",
+                            type="password"
+                        )
+                        together_problem_input = gr.Textbox(
+                            label="Problem Description/Instruction (Optional)", 
+                            placeholder="Enter additional context for the image problem...",
+                            lines=3
+                        )
+                        together_image_input = gr.Image(
+                            label="Upload Math Problem Image",
+                            type="filepath"
+                        )
+                        with gr.Row():
+                            together_submit_btn = gr.Button("Solve Problem", variant="primary")
+                            together_clear_btn = gr.Button("Clear")
+
+                    with gr.Column(scale=2):
+                        together_solution_output = gr.Markdown(label="Solution")
+
+                    # Store conversation history (invisible to user)
+                    together_conversation_history = gr.State(value=None)
+
+                    # Button actions
+                    together_submit_btn.click(
+                        fn=generate_math_solution_together,
+                        inputs=[together_api_key, together_problem_input, together_image_input, together_conversation_history],
+                        outputs=[together_solution_output, together_conversation_history]
+                    )
+                    
+                    together_clear_btn.click(
+                        fn=lambda: ("", None),
+                        inputs=[],
+                        outputs=[together_solution_output, together_conversation_history]
+                    )
+
+            
+        # Footer
+        gr.Markdown("""
+        ---
+        ### About
+        This application uses Microsoft's Phi-4-reasoning-plus model via OpenRouter for text-based problems
+        and Llama-Vision-Free via Together AI for image-based problems. 
+        Your API keys are required but not stored permanently.
+        """)
+
+    return demo
+
+# Launch the app
+if __name__ == "__main__":
+    demo = create_demo()
+    demo.launch()  

requirements.txt

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+openai
+together
+pillow