Update app.py

app.py

@@ -4,8 +4,6 @@ import numpy as np
 import random
 from huggingface_hub import AsyncInferenceClient
 from translatepy import Translator
-import requests
-import re
 import asyncio
 from PIL import Image
 import io
@@ -36,25 +34,26 @@ def enable_lora(lora_add):
         return lora_add
 
 async def generate_image(
-    prompt:str,
-    model:str,
-    lora_word:str,
-    width:int=768,
-    height:int=1024,
-    scales:float=3.5,
-    steps:int=24,
-    seed:int=-1):
-
+    prompt: str,
+    model: str,
+    lora_word: str,
+    width: int = 768,
+    height: int = 1024,
+    scales: float = 3.5,
+    steps: int = 24,
+    seed: int = -1,
+):
     if seed == -1:
         seed = random.randint(0, MAX_SEED)
     seed = int(seed)
-    print(f'prompt:{prompt}')
-    
+    print(f'prompt: {prompt}')
+
     text = str(translator.translate(prompt, 'English')) + "," + lora_word
 
     client = AsyncInferenceClient()
     try:
-        image = await client.text_to_image(
+        # Generate image using the Inference API
+        image_bytes = await client.text_to_image(
             prompt=text,
             height=height,
             width=width,
@@ -62,53 +61,52 @@ async def generate_image(
             num_inference_steps=steps,
             model=model,
         )
-        
-        # Convert WebP to PNG
-        img = Image.open(io.BytesIO(image))
-        png_image = io.BytesIO()
-        img.save(png_image, format="PNG")
-        png_image.seek(0)
-        
-        return png_image, seed
+
+        # Convert the image to PNG format
+        img = Image.open(io.BytesIO(image_bytes))
+        png_buffer = io.BytesIO()
+        img.save(png_buffer, format="PNG")
+        png_buffer.seek(0)  # Reset buffer position to the beginning
+
+        return png_buffer, seed
     except Exception as e:
         raise gr.Error(f"Error in {e}")
 
 async def gen(
-    prompt:str,
-    lora_add:str="",
-    lora_word:str="",
-    width:int=768,
-    height:int=1024,
-    scales:float=3.5,
-    steps:int=24,
-    seed:int=-1,
-    progress=gr.Progress(track_tqdm=True)
+    prompt: str,
+    lora_add: str = "",
+    lora_word: str = "",
+    width: int = 768,
+    height: int = 1024,
+    scales: float = 3.5,
+    steps: int = 24,
+    seed: int = -1,
+    progress=gr.Progress(track_tqdm=True),
 ):
     model = enable_lora(lora_add)
     print(model)
-    image, seed = await generate_image(prompt,model,lora_word,width,height,scales,steps,seed)
+    image, seed = await generate_image(prompt, model, lora_word, width, height, scales, steps, seed)
     return image, seed
-     
+
 examples = [
-    ["a seal holding a beach ball in a pool","bingbangboom/flux_dreamscape","in the style of BSstyle004"],
-    ["1980s anime screengrab, VHS quality, a woman with her face glitching and disorted, a halo above her head","dataautogpt3/FLUX-SyntheticAnime","1980s anime screengrab, VHS quality"],
-    ["photograph, background of Earth from space, red car on the Moon watching Earth","martintomov/retrofuturism-flux","retrofuturism"],
-    ["a living room interior","fofr/flux-80s-cyberpunk","80s cyberpunk"],
-    ["Shrek, a lovable green ogre with a big smile, sitting on a moss-covered rock while enjoying a plate of freshly picked vegetables, in a magical forest filled with whimsical creatures, dappled sunlight filtering through the trees, surrounded by curious fairies peeking out from behind leaves","alvarobartt/ghibli-characters-flux-lora","Ghibli style"],
-    ["a tourist in London, illustration in the style of VCTRNDRWNG, Victorian-era drawing","dvyio/flux-lora-victorian-drawing","illustration in the style of VCTRNDRWNG"],
-    ["an African American and a caucasian man petting a cat at a busy electronic store. flikr photo from 2012. three people working in the background","kudzueye/boreal-flux-dev-v2","photo"],
-    ["mgwr/cine, woman silhouette, morning light, sun rays, indoor scene, soft focus, golden hour, stretching pose, peaceful mood, cozy atmosphere, window light, shadows and highlights, backlit figure, minimalistic interior, warm tones, contemplative moment, calm energy, serene environment, yoga-inspired, elegant posture, natural light beams, artistic composition","mgwr/Cine-Aesthetic","atmospheric lighting and a dreamy, surreal vibe"]
+    ["a seal holding a beach ball in a pool", "bingbangboom/flux_dreamscape", "in the style of BSstyle004"],
+    ["1980s anime screengrab, VHS quality, a woman with her face glitching and distorted, a halo above her head", "dataautogpt3/FLUX-SyntheticAnime", "1980s anime screengrab, VHS quality"],
+    ["photograph, background of Earth from space, red car on the Moon watching Earth", "martintomov/retrofuturism-flux", "retrofuturism"],
+    ["a living room interior", "fofr/flux-80s-cyberpunk", "80s cyberpunk"],
+    ["Shrek, a lovable green ogre with a big smile, sitting on a moss-covered rock while enjoying a plate of freshly picked vegetables, in a magical forest filled with whimsical creatures, dappled sunlight filtering through the trees, surrounded by curious fairies peeking out from behind leaves", "alvarobartt/ghibli-characters-flux-lora", "Ghibli style"],
+    ["a tourist in London, illustration in the style of VCTRNDRWNG, Victorian-era drawing", "dvyio/flux-lora-victorian-drawing", "illustration in the style of VCTRNDRWNG"],
+    ["an African American and a Caucasian man petting a cat at a busy electronic store. Flickr photo from 2012. Three people working in the background", "kudzueye/boreal-flux-dev-v2", "photo"],
+    ["mgwr/cine, woman silhouette, morning light, sun rays, indoor scene, soft focus, golden hour, stretching pose, peaceful mood, cozy atmosphere, window light, shadows and highlights, backlit figure, minimalistic interior, warm tones, contemplative moment, calm energy, serene environment, yoga-inspired, elegant posture, natural light beams, artistic composition", "mgwr/Cine-Aesthetic", "atmospheric lighting and a dreamy, surreal vibe"]
 ]
 
 # Gradio Interface
-
 with gr.Blocks(css=CSS, js=JS, theme="ocean") as demo:
     gr.HTML("<h1><center>Flux Lab Light</center></h1>")
     gr.HTML("<p><center>Powered By HF Inference API</center></p>")
     with gr.Row():
         with gr.Column(scale=4):
             with gr.Row():
-                img = gr.Image(type="filepath", label='flux Generated Image', height=600)
+                img = gr.Image(type="filepath", label='Flux Generated Image', height=600)
             with gr.Row():
                 prompt = gr.Textbox(label='Enter Your Prompt (Multi-Languages)', placeholder="Enter prompt...", scale=6)
                 sendBtn = gr.Button(scale=1, variant='primary')
@@ -164,7 +162,7 @@ with gr.Blocks(css=CSS, js=JS, theme="ocean") as demo:
 
     gr.Examples(
         examples=examples,
-        inputs=[prompt,lora_add,lora_word],
+        inputs=[prompt, lora_add, lora_word],
         outputs=[img, seed],
         fn=gen,
         cache_examples="lazy",
@@ -181,14 +179,14 @@ with gr.Blocks(css=CSS, js=JS, theme="ocean") as demo:
             prompt,
             lora_add,
             lora_word,
-            width, 
-            height, 
-            scales, 
-            steps, 
-            seed
+            width,
+            height,
+            scales,
+            steps,
+            seed,
         ],
         outputs=[img, seed]
     )
-    
+
 if __name__ == "__main__":
     demo.queue(api_open=False).launch(show_api=False, share=False)