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app.py
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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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title = "BLOOM"
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description = """Gradio Demo for BLOOM. To use it, simply add your text, or click one of the examples to load them.
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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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['A "whatpu" is a small, furry animal native to Tanzania. An example of a sentence that uses the word whatpu is: We were traveling in Africa and we saw these very cute whatpus. To do a "farduddle" means to jump up and down really fast. An example of a sentence that uses the word farduddle is:', 32, "Sample", False, "Sample 1"],
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['A poem about the beauty of science by Alfred Edgar Brittle\nTitle: The Magic Craft\nIn the old times', 50, "Sample", False, "Sample 1"],
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['استخراج العدد العاملي في لغة بايثون:', 30, "Greedy", False, "Sample 1"],
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["Pour déguster un ortolan, il faut tout d'abord", 32, "Sample", False, "Sample 1"],
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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 -', 16, "Sample", False, "Sample 1"],
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['Estos ejemplos quitan vocales de las palabras\nEjemplos:\nhola - hl\nmanzana - mnzn\npapas - pps\nalacran - lcrn\npapa -', 16, "Sample",False, "Sample 1"],
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["Question: If I put cheese into the fridge, will it melt?\nAnswer:", 32, "Sample", False, "Sample 1"],
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["Math exercise - answers:\n34+10=44\n54+20=", 16, "Greedy", False, "Sample 1"],
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["Question: Where does the Greek Goddess Persephone spend half of the year when she is not with her mother?\nAnswer:", 24, "Greedy", False, "Sample 1"],
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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:", 24, "Greedy", False, "Sample 1"],
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]
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def query(payload):
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print(payload)
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response = requests.request("POST", API_URL, json=payload)
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print(response)
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return json.loads(response.content.decode("utf-8"))
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def inference(input_sentence, max_length, sample_or_greedy, raw_text=False, seed=42):
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if sample_or_greedy == "Sample":
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parameters = {"max_new_tokens": max_length,
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"top_p": 0.9,
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"do_sample": True,
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"seed": seed,
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"early_stopping": False,
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"length_penalty": 0.0,
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"eos_token_id": None}
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else:
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parameters = {"max_new_tokens": max_length,
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"do_sample": False,
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"seed": seed,
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"early_stopping": False,
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"length_penalty": 0.0,
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"eos_token_id": None}
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payload = {"inputs": input_sentence,
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"parameters": parameters}
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data = query(
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payload
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)
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if raw_text:
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return None, data[0]['generated_text']
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width, height = 3246, 3246
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assets_path = "assets"
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font_mapping = {
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"latin characters (faster)": "DejaVuSans.ttf",
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"complete alphabet (slower)":"GoNotoCurrent.ttf"
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}
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working_dir = Path(__file__).parent.resolve()
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font_path = str(working_dir / font_mapping["complete alphabet (slower)"])
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img_save_path = str(working_dir / "output.jpeg")
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colors = {
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BG_COMP: "#000000",
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PROMPT_VAR: "#FFFFFF",
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GENERATION_VAR: "#FF57A0",
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BOX_COMP: "#120F25",
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}
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new_string = data[0]['generated_text'].split(input_sentence, 1)[1]
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_, img = main(
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input_sentence,
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new_string,
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width,
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height,
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assets_path=assets_path,
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font_path=font_path,
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colors=colors,
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frame_to_box_margin=200,
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text_to_text_box_margin=50,
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init_font_size=150,
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right_align=False,
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)
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return img, data[0]['generated_text']
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gr.Interface(
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inference,
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[
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gr.inputs.Textbox(label="Input"),
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gr.inputs.Slider(1, 64, default=32, step=1, label="Tokens to generate"),
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gr.inputs.Radio(["Sample", "Greedy"], label="Sample or greedy", default="Sample"),
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gr.Checkbox(label="Just output raw text"),
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gr.inputs.Radio(["Sample 1", "Sample 2", "Sample 3", "Sample 4", "Sample 5"], default="Sample 1", label="Sample other generations (only work in 'Sample' mode", type="index"),
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],
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["image", "text"],
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examples=examples,
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# article=article,
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cache_examples=False,
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title=title,
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description=description
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).launch()
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