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app.py

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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', 50, "Sample", False,  "Sample 1"],
+    ['استخراج العدد العاملي في لغة بايثون:', 30, "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 -', 16, "Sample", False, "Sample 1"],
+    ['Estos ejemplos quitan vocales de las palabras\nEjemplos:\nhola - hl\nmanzana - mnzn\npapas - pps\nalacran - lcrn\npapa -', 16, "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=", 16, "Greedy", False,  "Sample 1"],
+    ["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"],
+    ["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"],
+]
+
+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, seed=42):
+    if sample_or_greedy == "Sample":
+        parameters = {"max_new_tokens": max_length,
+                      "top_p": 0.9,
+                      "do_sample": True,
+                      "seed": seed,
+                      "early_stopping": False,
+                      "length_penalty": 0.0,
+                      "eos_token_id": None}
+    else:
+        parameters = {"max_new_tokens": max_length,
+                      "do_sample": False,
+                      "seed": seed,
+                      "early_stopping": False,
+                      "length_penalty": 0.0,
+                      "eos_token_id": None}
+
+    payload = {"inputs": input_sentence,
+               "parameters": parameters}
+
+    data = query(
+        payload
+    )
+    
+    if raw_text:
+        return None, data[0]['generated_text']
+    
+    width, height = 3246, 3246
+    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.Slider(1, 64, default=32, step=1, label="Tokens to generate"),
+        gr.inputs.Radio(["Sample", "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()