Update app.py

app.py

@@ -4,176 +4,155 @@ import random
 import torch
 import spaces
 from diffusers import DiffusionPipeline
-
-from tags_straight import TAGS_STRAIGHT
-from tags_lesbian import TAGS_LESBIAN
-from tags_gay import TAGS_GAY
-
-PROMPT_PREFIXES = {
-    "Prompt Input": "score_9, score_8_up, score_7_up, source_anime",
-    "Straight": "score_9, score_8_up, score_7_up, source_anime, ",
-    "Lesbian": "score_9, score_8_up, score_7_up, source_anime, ",
-    "Gay": "score_9, score_8_up, score_7_up, source_anime, yaoi, "
-}
+import requests
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 torch_dtype = torch.float16 if device == "cuda" else torch.float32
 
-
-
-# model_repo_id = "John6666/wai-ani-nsfw-ponyxl-v8-sdxl"
 model_repo_id = "John6666/wai-ani-nsfw-ponyxl-v140-sdxl"
-
-
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype).to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
-
-def create_checkboxes(tag_dict, suffix):
-    categories = list(tag_dict.keys())
-    return [gr.CheckboxGroup(choices=list(tag_dict[cat].keys()), label=f"{cat} Tags ({suffix})") for cat in categories], categories
-
-straight_checkboxes, _ = create_checkboxes(TAGS_STRAIGHT, "Straight")
-lesbian_checkboxes, _ = create_checkboxes(TAGS_LESBIAN, "Lesbian")
-gay_checkboxes, _ = create_checkboxes(TAGS_GAY, "Gay")
+MAX_IMAGE_SIZE = 1536
 
+# Translation function
 @spaces.GPU
-def infer(prompt, negative_prompt, seed, randomize_seed, width, height,
-          guidance_scale, num_inference_steps, active_tab, *tag_selections,
-          progress=gr.Progress(track_tqdm=True)):
-
-    prefix = PROMPT_PREFIXES.get(active_tab, "score_9, score_8_up, score_7_up, source_anime")
-
-    if active_tab == "Prompt Input":
-        final_prompt = f"{prefix}, {prompt}"
-    else:
-        combined_tags = []
-
-        straight_len = len(TAGS_STRAIGHT)
-        lesbian_len = len(TAGS_LESBIAN)
-        gay_len = len(TAGS_GAY)
-
-        if active_tab == "Straight":
-            for (tag_name, tag_dict), selected in zip(TAGS_STRAIGHT.items(), tag_selections[:straight_len]):
-                combined_tags.extend([tag_dict[tag] for tag in selected])
-        elif active_tab == "Lesbian":
-            offset = straight_len
-            for (tag_name, tag_dict), selected in zip(TAGS_LESBIAN.items(), tag_selections[offset:offset+lesbian_len]):
-                combined_tags.extend([tag_dict[tag] for tag in selected])
-        elif active_tab == "Gay":
-            offset = straight_len + lesbian_len
-            for (tag_name, tag_dict), selected in zip(TAGS_GAY.items(), tag_selections[offset:offset+gay_len]):
-                combined_tags.extend([tag_dict[tag] for tag in selected])
-
-        tag_string = ", ".join(combined_tags)
-        final_prompt = f"{prefix} {tag_string}"
-
-    negative_base = "worst quality, bad quality, jpeg artifacts, source_cartoon, 3d, (censor), monochrome, blurry, lowres, watermark"
-    full_negative_prompt = f"{negative_base}, {negative_prompt}"
-
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-
+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
+    elif ratio == "16:9":
+        return 1024, 576
+    return 1024, 1024
+
+@spaces.GPU(duration=120)
+def infer(prompt, width, height, progress=gr.Progress(track_tqdm=True)):
+    # Translate prompt
+    final_prompt = translate_albanian_to_english(prompt.strip()) if prompt.strip() else ""
+    final_prompt = f"score_9, score_8_up, score_7_up, source_anime, {final_prompt}"
+
+    negative_prompt = "(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"
+
+    seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
 
     image = pipe(
         prompt=final_prompt,
-        negative_prompt=full_negative_prompt,
-        guidance_scale=guidance_scale,
-        num_inference_steps=num_inference_steps,
+        negative_prompt=negative_prompt,
+        guidance_scale=7,
+        num_inference_steps=60,
         width=width,
         height=height,
         generator=generator
     ).images[0]
 
-    return image, seed, f"Prompt used: {final_prompt}\nNegative prompt used: {full_negative_prompt}"
-
-
-css = """
-#col-container {
-    margin: 0 auto;
-    max-width: 1280px;
-}
-
-#left-column {
-    width: 50%;
-    display: inline-block;
-    padding: 20px;
-    vertical-align: top;
-}
-
-#right-column {
-    width: 50%;
-    display: inline-block;
-    vertical-align: top;
-    padding: 20px;
-    margin-top: 53px;
-}
-
-#run-button {
-    width: 100%;
-    margin-top: 10px;
-}
-"""
-
-with gr.Blocks(css=css) as demo:
-    with gr.Row():
-        with gr.Column(elem_id="left-column"):
-            gr.Markdown("# Rainbow Media X")
-
-            result = gr.Image(label="Result", show_label=False)
-            prompt_info = gr.Textbox(label="Prompts Used", lines=3, interactive=False)
-
-            with gr.Accordion("Advanced Settings", open=False):
-                negative_prompt = gr.Textbox(label="Negative prompt", placeholder="Enter negative prompt")
-                seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
-                randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-
-                with gr.Row():
-                    width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
-                    height = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
-
-                with gr.Row():
-                    guidance_scale = gr.Slider(label="Guidance scale", minimum=0, maximum=10, step=0.1, value=7)
-                    num_inference_steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=35)
-
-            run_button = gr.Button("Run", elem_id="run-button")
-
-        with gr.Column(elem_id="right-column"):
-            active_tab = gr.State("Prompt Input")
-
-            with gr.Tabs() as tabs:
-                with gr.TabItem("Prompt Input") as prompt_tab:
-                    prompt = gr.Textbox(label="Prompt", lines=3, placeholder="Enter your prompt")
-                    prompt_tab.select(lambda: "Prompt Input", outputs=active_tab)
-
-                with gr.TabItem("Straight") as straight_tab:
-                    for cb in straight_checkboxes:
-                        cb.render()
-                    straight_tab.select(lambda: "Straight", outputs=active_tab)
-
-                with gr.TabItem("Lesbian") as lesbian_tab:
-                    for cb in lesbian_checkboxes:
-                        cb.render()
-                    lesbian_tab.select(lambda: "Lesbian", outputs=active_tab)
-
-                with gr.TabItem("Gay") as gay_tab:
-                    for cb in gay_checkboxes:
-                        cb.render()
-                    gay_tab.select(lambda: "Gay", outputs=active_tab)
-
-    run_button.click(
-        fn=infer,
-        inputs=[
-            prompt, negative_prompt, seed, randomize_seed,
-            width, height, guidance_scale, num_inference_steps,
-            active_tab,
-            *straight_checkboxes,
-            *lesbian_checkboxes,
-            *gay_checkboxes
-        ],
-        outputs=[result, seed, prompt_info]
-    )
-
-demo.queue().launch()
+    return image
+
+def create_demo():
+    with gr.Blocks() as demo:
+        # CSS for 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;
+        }
+        </style>
+        """)
+
+        gr.Markdown("# Krijo Media Rainbow")
+        gr.Markdown("Gjenero imazhe të reja nga përshkrimi yt me fuqinë e inteligjencës artificiale.")
+
+        with gr.Column():
+            prompt = gr.Textbox(
+                label="Përshkrimi",
+                placeholder="Shkruani përshkrimin këtu",
+                lines=3
+            )
+            aspect_ratio = gr.Radio(
+                label="Raporti i fotos",
+                choices=["9:16", "1:1", "16:9"],
+                value="1:1"
+            )
+            generate_button = gr.Button(value="Gjenero")
+            result_image = gr.Image(
+                label="Imazhi i Gjeneruar",
+                interactive=False
+            )
+
+            # Hidden sliders for width and height
+            width_slider = gr.Slider(
+                value=1024,
+                minimum=256,
+                maximum=MAX_IMAGE_SIZE,
+                step=8,
+                visible=False
+            )
+            height_slider = gr.Slider(
+                value=1024,
+                minimum=256,
+                maximum=MAX_IMAGE_SIZE,
+                step=8,
+                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
+            generate_button.click(
+                fn=infer,
+                inputs=[prompt, width_slider, height_slider],
+                outputs=[result_image],
+                show_progress="full"
+            )
+
+    return demo
+
+if __name__ == "__main__":
+    print(f"Gradio version: {gr.__version__}")
+    app = create_demo()
+    app.queue(max_size=12).launch(server_name='0.0.0.0')