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-import gradio as gr
-import re
-import requests
-import json
-import os
-from screenshot import BG_COMP, BOX_COMP, GENERATION_VAR, PROMPT_VAR, main
-from pathlib import Path
-
-title = "BLOOM"
-description = """Gradio Demo for BLOOM. To use it, simply add your text, or click one of the examples to load them.
-Tips:
-- Do NOT talk to BLOOM as an entity, it's not a chatbot but a webpage/blog/article completion model.
-- For the best results: MIMIC a few sentences of a webpage similar to the content you want to generate.
-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.
-Options:
-- sampling: imaginative completions (may be not super accurate e.g. math/history)
-- greedy: accurate completions (may be more boring or have repetitions)
-"""
-
-API_URL =  os.getenv("API_URL")
-
-examples = [
-    ['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"],
-    ['A poem about the beauty of science by Alfred Edgar Brittle\nTitle: The Magic Craft\nIn the old times', 64, "Sample", False,  "Sample 1"],
-    ['استخراج العدد العاملي في لغة بايثون:', 32, "Greedy", False, "Sample 1"],
-    ["Pour déguster un ortolan, il faut tout d'abord", 32, "Sample", False, "Sample 1"],
-    ['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 -', 32, "Sample", False, "Sample 1"],
-    ['Estos ejemplos quitan vocales de las palabras\nEjemplos:\nhola - hl\nmanzana - mnzn\npapas - pps\nalacran - lcrn\npapa -', 32, "Sample", False,  "Sample 1"],
-    ["Question: If I put cheese into the fridge, will it melt?\nAnswer:", 32, "Sample", False, "Sample 1"],
-    ["Math exercise - answers:\n34+10=44\n54+20=", 32, "Greedy", False,  "Sample 1"],
-    ["Question: Where does the Greek Goddess Persephone spend half of the year when she is not with her mother?\nAnswer:", 32, "Greedy", False, "Sample 1"],
-    ["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:", 32, "Greedy", False, "Sample 1"],
-]
-
-def query(payload):
-    print(payload)
-    response = requests.request("POST", API_URL, json=payload)
-    print(response)
-    return json.loads(response.content.decode("utf-8"))
-    
-def inference(input_sentence, max_length, sample_or_greedy, raw_text=False):
-    if sample_or_greedy == "Sample":
-        parameters = {"max_new_tokens": max_length,
-                      "top_p": 0.9}
-    else:
-        parameters = {"max_new_tokens": max_length,
-                      "do_sample": False}
-
-    payload = {"prompts": input_sentence, "gen_method": sample_or_greedy, "max_new_tokens": max_length}
-
-    data = query(
-        payload
-    )
-    
-    if raw_text:
-        return None, data[0]['generated_text']
-    
-    width, height = 3326, 3326
-    assets_path = "assets"
-    font_mapping = {
-        "latin characters (faster)": "DejaVuSans.ttf",
-        "complete alphabet (slower)":"GoNotoCurrent.ttf"
-    }
-    working_dir = Path(__file__).parent.resolve()
-    font_path = str(working_dir / font_mapping["complete alphabet (slower)"])
-    img_save_path = str(working_dir / "output.jpeg")
-    colors = {
-        BG_COMP: "#000000",
-        PROMPT_VAR: "#FFFFFF",
-        GENERATION_VAR: "#FF57A0",
-        BOX_COMP: "#120F25",
-    }
-    
-    new_string = data[0]['generated_text'].split(input_sentence, 1)[1]
-
-    _, img = main(
-        input_sentence,
-        new_string,
-        width,
-        height,
-        assets_path=assets_path,
-        font_path=font_path,
-        colors=colors,
-        frame_to_box_margin=200,
-        text_to_text_box_margin=50,
-        init_font_size=150,
-        right_align=False,
-    )
-    return img, data[0]['generated_text']
-
-
-gr.Interface(
-    inference, 
-    [
-        gr.inputs.Textbox(label="Input"),
-        gr.inputs.Radio([32, 64], default=32, label="Tokens to generate"),
-        gr.inputs.Radio(["sampling", "greedy"], label="Sample or greedy", default="Sample"),
-        gr.Checkbox(label="Just output raw text"),
-        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"),
-    ], 
-    ["image", "text"],
-    examples=examples,
-    # article=article,
-    cache_examples=False,
-    title=title,
-    description=description
-).launch()