from __future__ import annotations
from typing import Iterable
import gradio as Gradio

from gradio.themes.utils import colors, fonts, sizes
from gradio.themes import Base

from llama_cpp import Llama
from huggingface_hub import hf_hub_download

hf_hub_download(repo_id="TheBloke/dolphin-2_6-phi-2-GGUF", filename="dolphin-2_6-phi-2.Q5_K_S.gguf", local_dir=".")
llm = Llama(model_path="./dolphin-2_6-phi-2.Q5_K_S.gguf")

ins = '''<|im_start|>user
{question}<|im_end|>
<|im_start|>assistant
'''

class BlueTheme(Gradio.themes.Soft):
	def __init__(
		self,
		*,
		primary_hue: colors.Color | str = colors.purple,
		secondary_hue: colors.Color | str = colors.blue,
		neutral_hue: colors.Color | str = colors.neutral,
		spacing_size: sizes.Size | str = sizes.spacing_md,
		radius_size: sizes.Size | str = sizes.radius_md,
		font: fonts.Font
		| str
		| Iterable[fonts.Font | str] = (
			fonts.GoogleFont("Space Grotesk"),
			"ui-sans-serif",
			"sans-serif",
		),
		font_mono: fonts.Font
		| str
		| Iterable[fonts.Font | str] = (
			fonts.GoogleFont("Space Mono"),
			"ui-monospace",
			"monospace",
		),
	):
		super().__init__(
			primary_hue=primary_hue,
			secondary_hue=secondary_hue,
			neutral_hue=neutral_hue,
			spacing_size=spacing_size,
			radius_size=radius_size,
			font=font,
			font_mono=font_mono,
		)
		super().set(
			button_primary_background_fill="linear-gradient(90deg, *primary_300, *secondary_400)",
			button_primary_background_fill_hover="linear-gradient(90deg, *primary_200, *secondary_300)",
			button_primary_text_color="white",
			button_primary_background_fill_dark="linear-gradient(90deg, *primary_600, *secondary_800)",
			block_shadow="*shadow_drop_lg",
			button_shadow="*shadow_drop_lg",
			input_background_fill="zinc",
			input_border_color="*secondary_300",
			input_shadow="*shadow_drop",
			input_shadow_focus="*shadow_drop_lg",
		)

custom_theme = BlueTheme()

def generate(instruction):
	prompt = ins.format(question=instruction)
	response = llm(prompt, stop=['<|im_start|>user', '<|im_end|>'])
	result = response['choices'][0]['text']
	return result

examples = [
	"How do dogs bark?",
	"Why are apples red?",
	"How do I make a campfire?",
	"Why do cats love to chirp at something?"
]

def process_example(args):
	for x in generate(args):
		pass
	return x

css = ".generating {visibility: hidden}"

with Gradio.Blocks(theme=custom_theme, analytics_enabled=False, css=css) as demo:
	with Gradio.Column():
		Gradio.Markdown(
			""" # 𓄿 [Corvus] Dolphin-2.6 (Phi-2)
			Type in the box below and click the button to generate answers to your most pressing questions!
		""")

		with Gradio.Tabs():
			with Gradio.Tab(label="Prompt"):
				usr_prompt = Gradio.components.Textbox(placeholder="Why do cats meow?", label="Prompt", info="What things do you want to ask the chat assistant?");

			with Gradio.Tab(label="Configuration (disabled)"):
				top_p = Gradio.components.Slider(value=0.4, maximum=1, interactive=True, label="Top-P (Nucleus sampling)", info="Represents the token diversity threshold for CogniForge.");
				top_k = Gradio.components.Slider(value=40, maximum=100, interactive=True, label="Top-K sampling", info="Represents the token probability threshold for CogniForge.");
				temp = Gradio.components.Slider(value=0.7, maximum=2, interactive=True, label="Temperature", info="Represents the creativity threshold for CogniForge.");

		with Gradio.Group():
			output = Gradio.components.Textbox(value="", label="Output", info="Corvus' output");

		Gradio.Examples(
			examples=examples,
			inputs=[usr_prompt],
			cache_examples=False,
			fn=process_example,
			outputs=[output],
		);

	submit = Gradio.Button("Generate", variant="primary")
	submit.click(generate, inputs=[usr_prompt], outputs=[output], concurrency_limit=1)

demo.launch(debug=True)