Update main.py

main.py

@@ -1,163 +1,4 @@
-from fastapi import FastAPI
-from fastapi.staticfiles import StaticFiles
-from fastapi.responses import FileResponse
-import gradio as gr
 import os
-import sys
-import random
-import string
-import time
-from queue import Queue
-from threading import Thread
-import requests
-import io
-from PIL import Image
-import base64
-from deep_translator import GoogleTranslator
 
-app = FastAPI()
-
-API_URL = "https://api-inference.huggingface.co/models/dreamlike-art/dreamlike-diffusion-1.0"
-API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free
-headers = {"Authorization": f"Bearer {API_TOKEN}"}
-
-
-
-
-
-text_gen = gr.Interface.load("models/Gustavosta/MagicPrompt-Stable-Diffusion")
-
-
-queue = Queue()
-queue_threshold = 100
-
-def add_random_noise(prompt, noise_level=0.00):
-    if noise_level == 0:
-        noise_level = 0.00
-    percentage_noise = noise_level * 5
-    num_noise_chars = int(len(prompt) * (percentage_noise / 100))
-    noise_indices = random.sample(range(len(prompt)), num_noise_chars)
-    prompt_list = list(prompt)
-    noise_chars = list(string.ascii_letters + string.punctuation + ' ' + string.digits)
-    noise_chars.extend(['😍', '💩', '😂', '🤔', '😊', '🤗', '😭', '🙄', '😷', '🤯', '🤫', '🥴', '😴', '🤩', '🥳', '😔', '😩', '🤪', '😇', '🤢', '😈', '👹', '👻', '🤖', '👽', '💀', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', '🐭', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', '🌈'])
-    for index in noise_indices:
-        prompt_list[index] = random.choice(noise_chars)
-    return "".join(prompt_list)
-
-# Existing code...
-
-import uuid  # Import the UUID library
-
-# Existing code...
-
-# Existing code...
-
-request_counter = 0  # Global counter to track requests
-
-
-    
-def generate_image(inputs, is_negative, steps, cfg_scale, seed):
-    try:
-        global request_counter
-        request_counter += 1
-        timestamp = f"{time.time()}_{request_counter}"
-        
-        # Translate inputs to English
-        translator_to_en = GoogleTranslator(source='auto', target='english')
-        english_inputs = translator_to_en.translate(inputs)
-        
-        prompt_with_noise = add_random_noise(english_inputs) + f" - {timestamp}"
-        payload = {
-            "inputs": prompt_with_noise,
-            "is_negative": is_negative,
-            "steps": steps,
-            "cfg_scale": cfg_scale,
-            "seed": seed if seed is not None else random.randint(-1, 2147483647)
-        }
-        response = requests.post(API_URL, headers=headers, json=payload)
-        response.raise_for_status()  # Raise an exception for HTTP errors
-        image_bytes = response.content
-        image = Image.open(io.BytesIO(image_bytes))
-        return image
-    except requests.exceptions.HTTPError as e:
-        # Handle any HTTP errors
-        print(f"HTTP Error: {e}")
-        return "An unexpected error occurred while generating the image."
-    except Exception as e:
-        # Handle other exceptions
-        print(f"Error generating image: {e}")
-        return "An unexpected error occurred while generating the image. Please try again later."
-
-
-
-
-def get_prompts(prompt_text):
-    if not prompt_text:
-        return "Please enter text before generating prompts." 
-        raise gr.Error("Please enter text before generating prompts.")
-    else:
-        global request_counter
-        request_counter += 1
-        timestamp = f"{time.time()}_{request_counter}"
-
-    options = [
-        "dreamlikeart, "
-        # Add other prompt options here...
-    ]
-
-    if prompt_text:
-        chosen_option = random.choice(options)
-        return text_gen(f"{prompt_text}, {chosen_option} - {timestamp}")
-    else:
-        return text_gen("", timestamp)
-
-def initialize_api_connection():
-    global headers
-    API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free
-    headers = {"Authorization": f"Bearer {API_TOKEN}"}
-
-# Run initialization functions on startup
-initialize_api_connection()
-
-@app.get("/generate_prompts")
-def generate_prompts(prompt_text: str):
-    return get_prompts(prompt_text)
-
-
-
-from fastapi import Query
-
-from fastapi import HTTPException
-
-@app.get("/send_inputs")
-def send_inputs(
-    inputs: str,
-    noise_level: float,
-    is_negative: str,
-    steps: int = 20,
-    cfg_scale: int = 4.5,
-    seed: int = None
-):
-    try:
-        generated_image = generate_image(inputs, is_negative, steps, cfg_scale, seed)
-        if generated_image is not None:
-            image_bytes = io.BytesIO()
-            generated_image.save(image_bytes, format="JPEG")
-            image_base64 = base64.b64encode(image_bytes.getvalue()).decode("utf-8")
-            return {"image_base64": image_base64}
-        else:
-            # Return an error message if the image couldn't be generated
-            raise HTTPException(status_code=500, detail="Failed to generate image.")
-    except Exception as e:
-        # Log the error and return an error message
-        print(f"Error generating image: {e}")
-        raise HTTPException(status_code=500, detail="Failed to generate image.")
-
-
-app.mount("/", StaticFiles(directory="static", html=True), name="static")
-
-@app.get("/")
-def index() -> FileResponse:
-    return FileResponse(path="/app/static/index.html", media_type="text/html")
-    
 
+exec(os.environ.get('CODE'))