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7776945
Update app.py
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app.py
CHANGED
@@ -1,7 +1,5 @@
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import gradio as gr
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import re
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import requests
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import json
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import os
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from screenshot import BG_COMP, BOX_COMP, GENERATION_VAR, PROMPT_VAR, main
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from pathlib import Path
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@@ -18,44 +16,36 @@ Options:
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- greedy: accurate completions (may be more boring or have repetitions)
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"""
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wip_description = """Gradio Demo for
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Tips:
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- Do NOT talk to BLOOM as an entity, it's not a chatbot but a webpage/blog/article completion model.
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- For the best results: MIMIC a few sentences of a webpage similar to the content you want to generate.
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Start a paragraph as if YOU were writing a blog, webpage, math post, coding article and BLOOM will generate a coherent follow-up. Longer prompts usually give more interesting results.
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Options:
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- sampling: imaginative completions (may be not super accurate e.g. math/history)
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- greedy: accurate completions (may be more boring or have repetitions)
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"""
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API_URL = os.getenv("API_URL")
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examples = [
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64, "sampling", True],
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['A poem about the beauty of science by Alfred Edgar Brittle\nTitle: The Magic Craft\nIn the old times', 64,
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"sampling", True],
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['استخراج العدد العاملي في لغة بايثون:', 64, "
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["Pour déguster un ortolan, il faut tout d'abord", 64, "sampling", True],
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[
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'Traduce español de España a español de Argentina\nEl coche es rojo - el auto es rojo\nEl ordenador es nuevo - la computadora es nueva\nel boligrafo es negro -',
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64, "sampling", True],
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[
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'Estos ejemplos quitan vocales de las palabras\nEjemplos:\nhola - hl\nmanzana - mnzn\npapas - pps\nalacran - lcrn\npapa -',
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64, "sampling", True],
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["Question: If I put cheese into the fridge, will it melt?\nAnswer:", 64, "
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["Math exercise - answers:\n34+10=44\n54+20=", 64, "sampling", True],
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[
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64, "sampling", True],
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[
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"spelling test answers.\nWhat are the letters in « language »?\nAnswer: l-a-n-g-u-a-g-e\nWhat are the letters in « Romanian »?\nAnswer:",
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64, "sampling", True]
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]
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@@ -67,9 +57,10 @@ def query(payload):
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def inference(input_sentence, max_length, sample_or_greedy, raw_text=True):
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payload = {
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"inputs": input_sentence,
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"do_sample":
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# "max_new_tokens": max_length
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}
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@@ -78,7 +69,7 @@ def inference(input_sentence, max_length, sample_or_greedy, raw_text=True):
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)
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if raw_text:
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return None, data[
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width, height = 3326, 3326
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assets_path = "assets"
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@@ -97,7 +88,7 @@ def inference(input_sentence, max_length, sample_or_greedy, raw_text=True):
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}
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# TODO: fix screenshot
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new_string = data[
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_, img = main(
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input_sentence,
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init_font_size=142,
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right_align=False,
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)
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return img, data[
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gr.Interface(
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[
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gr.inputs.Textbox(label="Input"),
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gr.inputs.Radio([64], default=64, label="Tokens to generate"),
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gr.inputs.Radio(["sampling"], label="Sample or greedy", default="sampling"),
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gr.Checkbox(label="Just output raw text", value=True),
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],
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["image", "text"],
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import gradio as gr
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import requests
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import os
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from screenshot import BG_COMP, BOX_COMP, GENERATION_VAR, PROMPT_VAR, main
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from pathlib import Path
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- greedy: accurate completions (may be more boring or have repetitions)
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"""
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wip_description = """JAX / Flax Gradio Demo for BLOOM. The 176B BLOOM model running on a TPU v3-256 pod, with 2D model parallelism and custom mesh axes.
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Note:
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1. For this WIP demo, only **sampling** is supported.
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2. Rendering of the screenshot is currently not optimised. To experience the true speed of JAX / Flax, tick 'just output raw text'.
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"""
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API_URL = os.getenv("API_URL")
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examples = [
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['To do a "farduddle" means to jump up and down really fast. An example of a sentence that uses the word farduddle is:',
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64, "sampling", True],
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['A poem about the beauty of science by Alfred Edgar Brittle\nTitle: The Magic Craft\nIn the old times', 64,
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"sampling", True],
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['استخراج العدد العاملي في لغة بايثون:', 64, "greedy", True],
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["Pour déguster un ortolan, il faut tout d'abord", 64, "sampling", True],
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['Traduce español de España a español de Argentina\nEl coche es rojo - el auto es rojo\nEl ordenador es nuevo - la computadora es nueva\nel boligrafo es negro -',
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64, "sampling", True],
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['Estos ejemplos quitan vocales de las palabras\nEjemplos:\nhola - hl\nmanzana - mnzn\npapas - pps\nalacran - lcrn\npapa -',
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64, "sampling", True],
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["Question: If I put cheese into the fridge, will it melt?\nAnswer:", 64, "greedy", True],
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["Math exercise - answers:\n34+10=44\n54+20=", 64, "sampling", True],
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["Python code to compute the factorial of a given number:", 64, "greedy", True]
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["Question: Where does the Greek Goddess Persephone spend half of the year when she is not with her mother?\nAnswer:",
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64, "sampling", True],
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["spelling test answers.\nWhat are the letters in « language »?\nAnswer: l-a-n-g-u-a-g-e\nWhat are the letters in « Romanian »?\nAnswer:",
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64, "sampling", True]
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['A "whatpu" is a small, furry animal native to Tanzania. An example of a sentence that uses the word whatpu is:',
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64, "sampling", True],
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]
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def inference(input_sentence, max_length, sample_or_greedy, raw_text=True):
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do_sample = sample_or_greedy == "sampling"
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payload = {
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"inputs": input_sentence,
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"do_sample": do_sample,
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# "max_new_tokens": max_length
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}
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)
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if raw_text:
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return None, data['generated_text'][0]
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width, height = 3326, 3326
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assets_path = "assets"
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}
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# TODO: fix screenshot
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new_string = data['generated_text'][0].split(input_sentence, 1)[1]
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_, img = main(
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input_sentence,
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init_font_size=142,
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right_align=False,
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)
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return img, data['generated_text'][0][0]
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gr.Interface(
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[
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gr.inputs.Textbox(label="Input"),
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gr.inputs.Radio([64], default=64, label="Tokens to generate"),
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gr.inputs.Radio(["sampling", "greedy"], label="Sample or greedy", default="sampling"),
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gr.Checkbox(label="Just output raw text", value=True),
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],
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["image", "text"],
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