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Dagfinn1962
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Parent(s):
6e9e23f
Update app.py
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app.py
CHANGED
@@ -3,8 +3,126 @@ import logging
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import gradio as gr
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from src.llm_boilers import llm_boiler
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logging.basicConfig(format="%(asctime)s - %(message)s", level=logging.INFO)
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logging.warning("READY. App started...")
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import gradio as gr
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from src.llm_boilers import llm_boiler
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from __future__ import annotations
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from typing import Iterable
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import gradio as gr
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from gradio.themes.base import Base
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from gradio.themes.utils import colors, fonts, sizes
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from llama_cpp import Llama
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#from huggingface_hub import hf_hub_download
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#hf_hub_download(repo_id="LLukas22/gpt4all-lora-quantized-ggjt", filename="ggjt-model.bin", local_dir=".")
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llm = Llama(model_path="./ggjt-model.bin")
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ins = '''### Instruction:
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{}
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### Response:
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'''
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theme = gr.themes.Monochrome(
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primary_hue="indigo",
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secondary_hue="blue",
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neutral_hue="slate",
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radius_size=gr.themes.sizes.radius_sm,
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font=[gr.themes.GoogleFont("Open Sans"), "ui-sans-serif", "system-ui", "sans-serif"],
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)
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# def generate(instruction):
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# response = llm(ins.format(instruction))
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# response = response['choices'][0]['text']
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# result = ""
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# for word in response.split(" "):
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# result += word + " "
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# yield result
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def generate(instruction):
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result = ""
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for x in llm(ins.format(instruction), stop=['### Instruction:', '### End'], stream=True):
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result += x['choices'][0]['text']
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yield result
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examples = [
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"Instead of making a peanut butter and jelly sandwich, what else could I combine peanut butter with in a sandwich? Give five ideas",
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"How do I make a campfire?",
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"Explain to me the difference between nuclear fission and fusion.",
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"I'm selling my Nikon D-750, write a short blurb for my ad."
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]
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def process_example(args):
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for x in generate(args):
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pass
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return x
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css = ".generating {visibility: hidden}"
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# Based on the gradio theming guide and borrowed from https://huggingface.co/spaces/shivi/dolly-v2-demo
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class SeafoamCustom(Base):
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def __init__(
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self,
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*,
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primary_hue: colors.Color | str = colors.emerald,
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secondary_hue: colors.Color | str = colors.blue,
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neutral_hue: colors.Color | str = colors.blue,
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spacing_size: sizes.Size | str = sizes.spacing_md,
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radius_size: sizes.Size | str = sizes.radius_md,
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font: fonts.Font
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| str
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| Iterable[fonts.Font | str] = (
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fonts.GoogleFont("Quicksand"),
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"ui-sans-serif",
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"sans-serif",
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),
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font_mono: fonts.Font
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| str
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| Iterable[fonts.Font | str] = (
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fonts.GoogleFont("IBM Plex Mono"),
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"ui-monospace",
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"monospace",
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),
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):
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super().__init__(
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primary_hue=primary_hue,
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secondary_hue=secondary_hue,
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neutral_hue=neutral_hue,
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spacing_size=spacing_size,
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radius_size=radius_size,
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font=font,
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font_mono=font_mono,
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)
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super().set(
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button_primary_background_fill="linear-gradient(90deg, *primary_300, *secondary_400)",
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button_primary_background_fill_hover="linear-gradient(90deg, *primary_200, *secondary_300)",
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button_primary_text_color="white",
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button_primary_background_fill_dark="linear-gradient(90deg, *primary_600, *secondary_800)",
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block_shadow="*shadow_drop_lg",
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button_shadow="*shadow_drop_lg",
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input_background_fill="zinc",
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input_border_color="*secondary_300",
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input_shadow="*shadow_drop",
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input_shadow_focus="*shadow_drop_lg",
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)
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seafoam = SeafoamCustom()
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with gr.Blocks(theme=seafoam, analytics_enabled=False, css=css) as demo:
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with gr.Column():
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gr.Markdown(
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""" ## GPT4ALL
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7b quantized 4bit (q4_0)
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Type in the box below and click the button to generate answers to your most pressing questions!
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"""
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)
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logging.basicConfig(format="%(asctime)s - %(message)s", level=logging.INFO)
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logging.warning("READY. App started...")
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