Delete app.py

app.py

@@ -1,51 +0,0 @@
-import os
-import gradio as gr
-from huggingface_hub import InferenceClient
-
-print("✅ Glowmation FLUX Engine Ready! (Dev: Naman Rai)")
-
-# 🗝️ Settings (Secrets) se tera VIP Pass utha rahe hain
-hf_token = os.environ.get("HF_TOKEN")
-
-# 🚀 FLUX.1 API ko Token ke sath start kar rahe hain
-client = InferenceClient("black-forest-labs/FLUX.1-schnell", token=hf_token)
-
-def generate_flux_image(prompt):
-    if not prompt:
-        return None
-    try:
-        # Prompt ko aur khatarnak banane ke liye keywords add kiye hain
-        pro_prompt = prompt + ", masterpiece, high contrast, cinematic lighting, 8k resolution, ultra-detailed"
-        
-        # API se image mangwana
-        image = client.text_to_image(pro_prompt)
-        return image
-    except Exception as e:
-        raise gr.Error(f"⚠️ Kalesh: {str(e)} - 10 second baad try kar!")
-
-# ── Dark Mode UI ──
-with gr.Blocks(theme=gr.themes.Monochrome()) as iface:
-    gr.Markdown("# 🔥 Glowmation FLUX Engine (VIP Mode)")
-    gr.Markdown("### ⚡ Free & Fast Text-to-Image API | Dev: Naman Rai")
-    
-    with gr.Row():
-        with gr.Column():
-            prompt_input = gr.Textbox(
-                label="Kya banwana hai?", 
-                placeholder="e.g., A 3D character dropping from a plane like BGMI, intense action, dark theme",
-                lines=3
-            )
-            gen_btn = gr.Button("✨ Generate Image", variant="primary")
-        
-        with gr.Column():
-            image_output = gr.Image(label="FLUX Magic Output")
-            
-    # API Link
-    gen_btn.click(
-        fn=generate_flux_image, 
-        inputs=prompt_input, 
-        outputs=image_output,
-        api_name="generate"
-    )
-
-iface.queue(default_concurrency_limit=1, max_size=20).launch()