import gradio as gr
from huggingface_hub import InferenceClient
import os  # For environment variables

# Initialize the Hugging Face Inference Client
client = InferenceClient()

# Generic function to generate AI response with streaming
def generate_response(prompt_template, **kwargs):
    # Format the prompt with provided arguments
    prompt = os.getenv(prompt_template).format(**kwargs)
    # Stream the response from the model
    stream = client.chat.completions.create(
        model="Qwen/QwQ-32B-Preview",
        messages=[{"role": "user", "content": prompt}],
        temperature=0.7,
        max_tokens=1024,
        top_p=0.8,
        stream=True
    )
    # Stream chunks as they are generated
    response = ""
    for chunk in stream:
        response += chunk.choices[0].delta.content
        yield response

# Gradio app interface
with gr.Blocks() as app:
    gr.Markdown("## Mathematical Insight Tutor")
    gr.Markdown("An advanced AI-powered tutor to help you master math concepts.")

    # Function to create a reusable tab with inputs and outputs
    def create_tab(tab_name, prompt_template, inputs):
        with gr.Tab(tab_name):
            input_fields = []
            # Create input components dynamically
            for inp in inputs:
                if inp["type"] == "textbox":
                    input_fields.append(
                        gr.Textbox(lines=inp.get("lines", 1), label=inp["label"], placeholder=inp["placeholder"])
                    )
                elif inp["type"] == "dropdown":
                    input_fields.append(
                        gr.Dropdown(choices=inp["choices"], label=inp["label"])
                    )
                elif inp["type"] == "value":
                    input_fields.append(
                        gr.Textbox(label=inp["label"], placeholder=inp["placeholder"])
                    )
            # Button and output
            button = gr.Button(f"{tab_name} Execute")
            output = gr.Markdown()
            # Link button to the response generator
            button.click(
                fn=lambda *args: generate_response(prompt_template, **dict(zip([inp["key"] for inp in inputs], args))),
                inputs=input_fields,
                outputs=output,
                stream=True  # Enable streaming for Gradio
            )

    # Tabs for various functionalities
    create_tab(
        "Solve a Problem",
        "PROMPT_SOLVE",
        [
            {"key": "problem", "type": "textbox", "label": "Enter Math Problem", "placeholder": "e.g., Solve for x: 2x + 5 = 15"},
            {"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]}
        ]
    )

    create_tab(
        "Generate a Hint",
        "PROMPT_HINT",
        [
            {"key": "problem", "type": "textbox", "label": "Enter Math Problem for Hint", "placeholder": "e.g., Solve for x: 2x + 5 = 15"},
            {"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]}
        ]
    )

    create_tab(
        "Verify Solution",
        "PROMPT_VERIFY",
        [
            {"key": "problem", "type": "textbox", "label": "Enter Math Problem", "placeholder": "e.g., Solve for x: 2x + 5 = 15"},
            {"key": "solution", "type": "value", "label": "Enter Your Solution", "placeholder": "e.g., x = 5"}
        ]
    )

    create_tab(
        "Generate Practice Question",
        "PROMPT_GENERATE",
        [
            {"key": "topic", "type": "textbox", "label": "Enter Math Topic", "placeholder": "e.g., Algebra, Calculus"},
            {"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]}
        ]
    )

    create_tab(
        "Explain Concept",
        "PROMPT_EXPLAIN",
        [
            {"key": "problem", "type": "textbox", "label": "Enter Math Problem", "placeholder": "e.g., Solve for x: 2x + 5 = 15"},
            {"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]}
        ]
    )

# Launch the app
app.launch(debug=True)