Update app.py

app.py

@@ -1,49 +1,19 @@
-import gradio as gr
-from diffusers import StableDiffusionImg2ImgPipeline
-from PIL import Image
-import torch
+import os
+from openai import OpenAI
 
-pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
-    "runwayml/stable-diffusion-v1-5",
-    safety_checker=None,
-    torch_dtype=torch.float32
-).to("cpu")
+client = OpenAI(
+    base_url="https://router.huggingface.co/v1",
+    api_key=os.environ["HF_TOKEN"],
+)
 
-def enhance(image):
-    image = image.convert("RGB").resize((512, 512))
+completion = client.chat.completions.create(
+    model="EssentialAI/rnj-1-instruct:together",
+    messages=[
+        {
+            "role": "user",
+            "content": "What is the capital of France?"
+        }
+    ],
+)
 
-    prompt = """
-    photorealistic architectural visualization,
-    modern luxury villa,
-    clean geometry,
-    realistic glass reflections,
-    subtle interior lighting visible through windows,
-    soft global illumination,
-    realistic shadows,
-    professional architectural render,
-    no painting style, no stylization
-    """
-
-    negative = """
-    painting, watercolor, sketch, distortion,
-    blurry, low quality, cartoon, fantasy,
-    overexposed, oversharpen
-    """
-
-    result = pipe(
-        prompt=prompt,
-        negative_prompt=negative,
-        image=image,
-        strength=0.28,
-        guidance_scale=6.5,
-        num_inference_steps=14
-    ).images[0]
-
-    return result
-
-gr.Interface(
-    fn=enhance,
-    inputs=gr.Image(type="pil", label="Upload Architectural Image"),
-    outputs=gr.Image(label="Enhanced Result"),
-    title="Mahmoud AI – Architectural Enhancer (Clean Mode)"
-).launch()
+print(completion.choices[0].message)