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app.py
Browse files
app.py
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import os
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import json
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import time
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import enum
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import uuid
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import base64
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import requests
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import structlog
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import gradio as gr
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import random
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import functools
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logger = structlog.getLogger()
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replicate_api_key = os.environ.get('REPLICATE_KEY')
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# Everyone gets the same order of words
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random.seed(42)
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with open('five_letter_words.txt') as f:
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words = f.read().splitlines()
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random.shuffle(words)
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random.seed()
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class Image:
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@classmethod
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def create(cls, prompt, n=1, response_format="url", model="fofr", size="256x256"):
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logger.info(f'requesting Image with prompt={prompt}, n={n}, response_format={response_format}, model={model}, size={size}...')
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width, height = size.split('x')
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width, height = int(width), int(height)
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resp = requests.post(
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"https://api.replicate.com/v1/predictions",
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headers={"Content-Type": "application/json", "Authorization": f"Token {replicate_api_key}"},
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json={"version": "a83d4056c205f4f62ae2d19f73b04881db59ce8b81154d314dd34ab7babaa0f1", "input": {
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"prompt": prompt,
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"width": width, "height": height,
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"num_images": n,
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}},
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)
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resp = resp.json()
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sleeps = 0
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while resp.get("status", "fail").lower() not in {"fail", "succeeded"}:
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if sleeps >= 10:
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raise Exception('Error generating image', resp)
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logger.info(f"Sleeping 1...")
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time.sleep(1)
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sleeps += 1
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resp = requests.get(f"https://api.replicate.com/v1/predictions/{resp['id']}", headers={"Content-Type": "application/json", "Authorization": f"Token {replicate_api_key}"})
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resp = resp.json()
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logger.info('received Image...')
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url = resp['output'][0]
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# Get the MIME type of the image (e.g., 'image/jpeg', 'image/png')
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mime_type = f"image/{url.rsplit('.', 1)[-1]}"
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# Encode to base64 and format as a data URI
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return f"data:{mime_type};base64," + base64.b64encode(requests.get(url).content).decode()
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@functools.cache
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def get_image(word_num, guess_num):
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prompt = words[word_num]
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return Image.create(prompt)
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def display_images_base64(image_strings):
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# Start of the HTML string
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html = '<html><body><div style="display: flex; flex-wrap: wrap;">'
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# Template for an individual image
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img_template = '<img src="{}" style="width: 30%; margin: 1%;" />'
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# Loop through the list of image strings and append each to the HTML string
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for img_str in image_strings:
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html += img_template.format(img_str)
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# Close the div and body tags
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html += '</div></body></html>'
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return html
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def guess_word(word_num, guess, history=None):
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word_num = abs(word_num) % len(words)
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target = words[word_num]
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guess = guess.lower()
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feedback = []
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if history is None:
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history = {}
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if word_num not in history:
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history[word_num] = {
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'guess': [],
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'image': [],
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}
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if len(guess) != len(target):
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feedback_str = "Guess must be {} letters long".format(len(target))
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else:
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for i, char in enumerate(guess):
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if char == target[i]:
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feedback.append('🟩') # Green for correct position
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elif char in target:
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feedback.append('🟨') # Yellow for correct letter, wrong position
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else:
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feedback.append('⬛') # Black for incorrect letter
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feedback_str = "".join(feedback)
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# Update and return the history with the current guess feedback
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history[word_num]['guess'].append(f"{guess}: {feedback_str}")
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# Get and update the image history
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new_image = get_image(word_num, len(history[word_num]['guess']) + 1)
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history[word_num]['image'].append(new_image)
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return feedback_str, '\n'.join(history[word_num]['guess']), display_images_base64(history[word_num]['image']), history
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interface = gr.Interface(fn=guess_word,
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inputs=[
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gr.Number(value=random.randint(0, 100_000), label='Word number (Cannot be empty)'),
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gr.Textbox(lines=1, label="Enter your guess (Cannot be empty)"),
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gr.State()],
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outputs=["text", gr.Textbox(label="Guess History", interactive=False, lines=10), gr.HTML(label="Guess Images"), gr.State()],
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title="Wordle with Gradio",
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description="A simple Wordle clone with guess history. Try to guess the word 'python'!",
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allow_flagging="never")
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interface.launch()
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