Update app.py

app.py

@@ -4,8 +4,9 @@ import torch
 import os
 from compel import Compel, ReturnedEmbeddingsType
 from diffusers import DiffusionPipeline
+import requests
 
-
+# Model setup
 model_name = os.environ.get('MODEL_NAME', 'UnfilteredAI/NSFW-gen-v2')
 pipe = DiffusionPipeline.from_pretrained(
     model_name,
@@ -14,18 +15,54 @@ pipe = DiffusionPipeline.from_pretrained(
 pipe.to('cuda')
 
 compel = Compel(
-  tokenizer=[pipe.tokenizer, pipe.tokenizer_2] ,
-  text_encoder=[pipe.text_encoder, pipe.text_encoder_2],
-  returned_embeddings_type=ReturnedEmbeddingsType.PENULTIMATE_HIDDEN_STATES_NON_NORMALIZED,
-  requires_pooled=[False, True]
+    tokenizer=[pipe.tokenizer, pipe.tokenizer_2],
+    text_encoder=[pipe.text_encoder, pipe.text_encoder_2],
+    returned_embeddings_type=ReturnedEmbeddingsType.PENULTIMATE_HIDDEN_STATES_NON_NORMALIZED,
+    requires_pooled=[False, True]
 )
 
+# Translation function
+@spaces.GPU
+def translate_albanian_to_english(text):
+    if not text.strip():
+        return ""
+    for attempt in range(2):
+        try:
+            response = requests.post(
+                "https://hal1993-mdftranslation1234567890abcdef1234567890-fc073a6.hf.space/v1/translate",
+                json={"from_language": "sq", "to_language": "en", "input_text": text},
+                headers={"accept": "application/json", "Content-Type": "application/json"},
+                timeout=5
+            )
+            response.raise_for_status()
+            translated = response.json().get("translate", "")
+            return translated
+        except Exception as e:
+            if attempt == 1:
+                raise gr.Error(f"Përkthimi dështoi: {str(e)}")
+    raise gr.Error("Përkthimi dështoi. Ju lutem provoni përsëri.")
+
+# Aspect ratio function
+def update_aspect_ratio(ratio):
+    if ratio == "1:1":
+        return 1024, 1024
+    elif ratio == "9:16":
+        return 576, 1024  # 1024 * 9/16 = 576
+    elif ratio == "16:9":
+        return 1024, 576  # 1024 * 9/16 = 576
+    return 1024, 1024
 
 @spaces.GPU(duration=120)
-def generate(prompt, negative_prompt, num_inference_steps, guidance_scale, width, height, num_samples):
-    embeds, pooled = compel(prompt)
+def generate(prompt, negative_prompt, num_inference_steps, guidance_scale, width, height, num_samples, progress=gr.Progress(track_tqdm=True)):
+    # Translate Albanian prompt to English
+    final_prompt = translate_albanian_to_english(prompt.strip()) if prompt.strip() else ""
+    
+    # Use Compel for prompt embeddings
+    embeds, pooled = compel(final_prompt)
     neg_embeds, neg_pooled = compel(negative_prompt)
-    return pipe(
+    
+    # Run pipeline
+    images = pipe(
         prompt_embeds=embeds,
         pooled_prompt_embeds=pooled,
         negative_prompt_embeds=neg_embeds,
@@ -36,18 +73,130 @@ def generate(prompt, negative_prompt, num_inference_steps, guidance_scale, width
         height=height,
         num_images_per_prompt=num_samples
     ).images
+    
+    # Return single image
+    return images[0]
+
+# Gradio interface
+def create_demo():
+    with gr.Blocks() as demo:
+        # CSS for compact layout, 320px gap, and download button scaling
+        gr.HTML("""
+        <style>
+        body::before {
+            content: "";
+            display: block;
+            height: 320px;
+            background-color: var(--body-background-fill);
+        }
+        button[aria-label="Fullscreen"], button[aria-label="Fullscreen"]:hover {
+            display: none !important;
+            visibility: hidden !important;
+            opacity: 0 !important;
+            pointer-events: none !important;
+        }
+        button[aria-label="Share"], button[aria-label="Share"]:hover {
+            display: none !important;
+        }
+        button[aria-label="Download"] {
+            transform: scale(3);
+            transform-origin: top right;
+            margin: 0 !important;
+            padding: 6px !important;
+        }
+        .constrained-container {
+            max-width: 600px;
+            margin: 0 auto;
+        }
+        </style>
+        """)
+
+        gr.Markdown("# Gjenero Imazhe")
+        gr.Markdown("Krijo një imazh të ri teper real bazuar në përshkrimin tënd")
+
+        with gr.Row():
+            with gr.Column(elem_classes="constrained-container"):
+                prompt = gr.Textbox(
+                    label="Përshkrimi",
+                    placeholder="Shkruani përshkrimin këtu"
+                )
+                aspect_ratio = gr.Radio(
+                    choices=["9:16", "1:1", "16:9"],
+                    value="1:1",
+                    label="Raporti i Imazhit"
+                )
+                generate_button = gr.Button(value="Gjenero")
+                result_image = gr.Image(
+                    label="Rezultati",
+                    type="pil",
+                    height=480,
+                    width=480,
+                    interactive=False,
+                    elem_classes="constrained-container"
+                )
+                # Hidden components for processing
+                negative_prompt = gr.Textbox(
+                    value="(low quality, worst quality:1.2), very displeasing, 3d, watermark, signature, ugly, poorly drawn, (deformed | distorted | disfigured:1.3), bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, mutated hands and fingers:1.4, disconnected limbs, blurry, amputation.,
+                    visible=False
+                )
+                num_inference_steps = gr.Slider(
+                    value=60,
+                    minimum=1,
+                    maximum=100,
+                    step=1,
+                    visible=False
+                )
+                guidance_scale = gr.Slider(
+                    value=7,
+                    minimum=1,
+                    maximum=20,
+                    step=0.1,
+                    visible=False
+                )
+                width_slider = gr.Slider(
+                    value=1024,
+                    minimum=256,
+                    maximum=1536,
+                    step=8,
+                    visible=False
+                )
+                height_slider = gr.Slider(
+                    value=1024,
+                    minimum=256,
+                    maximum=1536,
+                    step=8,
+                    visible=False
+                )
+                num_samples = gr.Slider(
+                    value=1,
+                    minimum=1,
+                    maximum=1,
+                    step=1,
+                    visible=False
+                )
+
+        # Update hidden sliders based on aspect ratio
+        aspect_ratio.change(
+            fn=update_aspect_ratio,
+            inputs=[aspect_ratio],
+            outputs=[width_slider, height_slider],
+            queue=False
+        )
+
+        # Bind the generate button
+        inputs = [
+            prompt, negative_prompt, num_inference_steps, guidance_scale,
+            width_slider, height_slider, num_samples
+        ]
+        generate_button.click(
+            fn=generate,
+            inputs=inputs,
+            outputs=[result_image]
+        )
 
+    return demo
 
-gr.Interface(
-    fn=generate,
-    inputs=[
-        gr.Text(label="Prompt"),
-        gr.Text("(low quality, worst quality:1.2), very displeasing, 3d, watermark, signature, ugly, poorly drawn, (deformed | distorted | disfigured:1.3), bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, mutated hands and fingers:1.4, disconnected limbs, blurry, amputation.", label="Negative Prompt"),
-        gr.Number(60, label="Number inference steps"),
-        gr.Number(7, label="Guidance scale"),
-        gr.Number(1024, label="Width"),
-        gr.Number(1024, label="Height"),
-        gr.Number(7, label="# images"),
-    ],
-    outputs=gr.Gallery(),
-).launch()
+if __name__ == "__main__":
+    print(f"Gradio version: {gr.__version__}")
+    app = create_demo()
+    app.queue(max_size=12).launch(server_name='0.0.0.0')