from llama_index.llms.anthropic import Anthropic
from llama_index.llms.mistralai import MistralAI
from llama_index.embeddings.mistralai import MistralAIEmbedding
from llama_index.embeddings.huggingface import HuggingFaceEmbedding
from llama_index.core.settings import Settings
from llama_index.core import SimpleDirectoryReader, VectorStoreIndex
import gradio as gr
from gradio_pdf import PDF
import os

choices = ['open-mistral-7b', 'claude-3-haiku']

def model_selection(choices):
    if choices == "open-mistral-7b":
        api_key = 'lJzlUC91kbvbMlOqCdAVorDdnmLEIU8b'
        llm = MistralAI(api_key=api_key, model="open-mistral-7b")
        embed_model = MistralAIEmbedding(model_name='mistral-embed', api_key=api_key)

    else:
        os.environ["ANTHROPIC_API_KEY"] = "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"
        llm = Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"], model = 'claude-3-haiku-20240307')
        embed_model = HuggingFaceEmbedding(model_name='BAAI/bge-base-en-v1.5')

    Settings.llm = llm
    Settings.embed_model = embed_model

    return choices

def qa(question: str, doc: str) -> str:
    my_pdf = SimpleDirectoryReader(input_files=[doc]).load_data()
    my_pdf_index = VectorStoreIndex.from_documents(my_pdf)
    my_pdf_engine = my_pdf_index.as_query_engine()
    response = my_pdf_engine.query(question)
    return response

with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():
          model_choice = gr.Radio(choices=choices, label = 'Choose a model')
          #select_button = gr.Button("Select Model")
          model_choice.change(model_selection, inputs=model_choice)
          pdf_input = gr.File(label="Upload PDF")

        with gr.Column():
          #pdf_input = gr.File(label="Upload PDF")
          question_input = gr.Textbox(label="Ask Question from PDF document")
          qa_button = gr.Button("Get Answer")
          answer_output = gr.Textbox(label="Answer")
          qa_button.click(fn=qa, inputs=[question_input, pdf_input], outputs=answer_output)

    demo.launch(debug = True)