import gradio as gr
from huggingface_hub import InferenceClient

"""
For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
"""
# Using Hugging Face Zephyr 7B for better contextual responses
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")


def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
):
    # Define system message to act as MPSC/UPSC assistant
    system_message = """You are an intelligent and well-informed MPSC/UPSC Assistant Chatbot. 
    Your job is to assist users with questions related to:
    - MPSC and UPSC Syllabus
    - Exam Patterns and Timelines
    - Study Materials and References
    - Important Current Affairs
    - Guidance on Optional Subjects
    - Previous Year Question Papers
    - Tips for Prelims, Mains, and Interview Preparation
    Provide relevant and concise answers along with reliable references or study materials.
    """

    messages = [{"role": "system", "content": system_message}]

    # Load conversation history for context
    for val in history:
        if val[0]:
            messages.append({"role": "user", "content": val[0]})
        if val[1]:
            messages.append({"role": "assistant", "content": val[1]})

    # Add user’s latest query
    messages.append({"role": "user", "content": message})

    response = ""
    references = ""

    # Generate chatbot response
    for message in client.chat_completion(
        messages,
        max_tokens=max_tokens,
        stream=True,
        temperature=temperature,
        top_p=top_p,
    ):
        token = message.choices[0].delta.content
        response += token
        yield response

    # Generate additional references and notes based on user query
    references = generate_references(message)
    if references:
        response += f"\n\n📚 **References & Study Notes:**\n{references}"
        yield response


def generate_references(query):
    """Generate references and study notes based on user query."""
    if "syllabus" in query.lower():
        return (
            "- UPSC Syllabus: [Official UPSC Website](https://www.upsc.gov.in)\n"
            "- MPSC Syllabus: [Official MPSC Website](https://mpsc.gov.in)"
        )
    elif "current affairs" in query.lower():
        return (
            "- The Hindu, PIB, Yojana Magazine\n"
            "- Monthly Current Affairs PDFs (Vision IAS, Insights IAS)"
        )
    elif "prelims" in query.lower():
        return (
            "- Prelims Strategy: [UPSC Topper's Insights](https://www.insightsonindia.com)\n"
            "- Previous Year Papers: [Download Here](https://upsc.gov.in/previous-year-papers)"
        )
    elif "mains" in query.lower():
        return (
            "- Mains Answer Writing: [IAS Baba, Forum IAS]\n"
            "- Optional Subject Notes: Refer to standard books (Laxmikanth, Bipan Chandra, etc.)"
        )
    elif "interview" in query.lower():
        return (
            "- Mock Interview Preparation: [Drishti IAS, Vision IAS]\n"
            "- DAF Analysis and Personality Tips"
        )
    else:
        return (
            "- Standard Books for All Subjects: NCERTs, Laxmikanth, Spectrum\n"
            "- Regular Updates on Exam Patterns"
        )


"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
# Create Gradio Chat Interface
demo = gr.ChatInterface(
    respond,
    additional_inputs=[
        gr.Textbox(value="You are a smart MPSC/UPSC Assistant.", label="System message"),
        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max Tokens (Length of Response)"),
        gr.Slider(minimum=0.1, maximum=2.0, value=0.7, step=0.1, label="Temperature (Creativity Level)"),
        gr.Slider(
            minimum=0.1,
            maximum=1.0,
            value=0.95,
            step=0.05,
            label="Top-p (Nucleus Sampling for Better Results)",
        ),
    ],
    title="🎯 MPSC/UPSC Assistant Chatbot",
    description="Ask anything related to MPSC/UPSC preparation, syllabus, tips, and study materials. The chatbot provides answers with references and helpful notes for your exam preparation.",
)


if __name__ == "__main__":
    demo.launch()