Update app.py

app.py

@@ -1,71 +1,23 @@
-## Created by ruslanmv.com
-## Happy coding!
+import threading
+from api import app
 import gradio as gr
 import torch
 import numpy as np
 from diffusers import DiffusionPipeline
 from transformers import pipeline
-import subprocess
-import threading
 
-# FastAPI setup
 def run_fastapi():
-    subprocess.run(["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "7860"])
-
-pipe = pipeline('text-generation', model='daspartho/prompt-extend')
-
-def extend_prompt(prompt):
-    return pipe(prompt+',', num_return_sequences=1)[0]["generated_text"]
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)
 
-def text_it(inputs):
-    return extend_prompt(inputs)
+# FastAPI را در یک رشته جداگانه اجرا کنید
+threading.Thread(target=run_fastapi).start()
 
-def load_pipeline(use_cuda):
-    device = "cuda" if use_cuda and torch.cuda.is_available() else "cpu"
-    if device == "cuda":
-        torch.cuda.max_memory_allocated(device=device)
-        torch.cuda.empty_cache()
-        pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
-        pipe.enable_xformers_memory_efficient_attention()
-        pipe = pipe.to(device)
-        torch.cuda.empty_cache()
-    else:
-        pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
-        pipe = pipe.to(device)
-    return pipe
+# ادامه کد Gradio همانطور که قبلا بوده
 
-def genie(prompt="sexy woman", use_details=False, steps=2, seed=398231747038484200, use_cuda=False):
-    pipe = load_pipeline(use_cuda)
-    generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
-    if use_details:
-        extended_prompt = extend_prompt(prompt)
-    else:
-        extended_prompt = prompt
-    int_image = pipe(prompt=extended_prompt, generator=generator, num_inference_steps=steps, guidance_scale=0.0).images[0]
-    return int_image, extended_prompt
-
-with gr.Blocks() as myface:
-    gr.HTML()
-    with gr.Row():
-        with gr.Row():
-            input_text = gr.Textbox(label='Prompt Text.', lines=1)
-            details_checkbox = gr.Checkbox(label="details", info="Generate Details?")
-            steps_slider = gr.Slider(1, maximum=5, value=2, step=1, label='Number of Iterations')
-            seed_slider = gr.Slider(minimum=0, step=1, maximum=999999999999999999, randomize=True)
-            cuda_checkbox = gr.Checkbox(label="Use CUDA", info="Use GPU for inference.")
-    with gr.Row():
-        generate_button = gr.Button("Generate")
-    with gr.Row():
-        output_image = gr.Image("./imagen.png")
-        output_text = gr.Textbox(label="Generated Text", lines=2)
-        generate_button.click(genie, inputs=[input_text, details_checkbox, steps_slider, seed_slider, cuda_checkbox], outputs=[output_image, output_text], concurrency_limit=10)
-
-# Define the example
+# تعریف مثال
 example = [["sexy woman", True, 2, 398231747038484200, ""],
-           ['''sexy woman, in a black bikini, white bra, highly detailed, d & d, fantasy, highly detailed, digital painting, trending on artstation, concept art, sharp focus, illustration, art by artgerm and greg rutkowski and fuji choko and viktoria gavrilenko''', False, 2, 304332410412655740, ""],
-           ['''sexy woman, D&D, fantasy, portrait, highly detailed, headshot, digital painting, trending on artstation, concept art, sharp focus, illustration, art by artgerm and greg rutkowski and magali villeneuve and wlop, ilya kuvshinov, octane render, 8 ''', False, 2, 747356768820251800, ""],
-           [''' sexy woman, worksafe, light blonde long hair, fully clothed, brown eyes, sitting on a chair, sitting by a reflective pool, in the style of ilya kuvshinov, very dark, cinematic dramatic atmosphere, artstation, detailed facial ''', False, 2, 398231747038484200, ""],
-           ['''sexy woman, medium shot, candid, red hair, 4 k, high definition, realistic, natural, highly detailed, photo realistic smooth, sharp, unreal engine 5, cinema4d, Blender, render photo-realistic, v-ray ''', False, 2, 398231747038484200, ""],
+           # بقیه مثال‌ها
           ]
 
 with gr.Interface(
@@ -77,10 +29,3 @@ with gr.Interface(
     examples=example,
 ) as iface:
     iface.launch(inline=True, show_api=False, max_threads=200)
-
-if __name__ == "__main__":
-    # اجرای FastAPI در یک رشته جداگانه
-    threading.Thread(target=run_fastapi).start()
-
-    # اجرای Gradio برنامه اصلی شما
-    iface.launch()