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.gradio/certificate.pem

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+-----BEGIN CERTIFICATE-----
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+-----END CERTIFICATE-----

README.md

@@ -1,12 +1,6 @@
 ---
-title: GENAI Project
-emoji: 🚀
-colorFrom: yellow
-colorTo: indigo
+title: GENAI_Project
+app_file: logoGenertor.py
 sdk: gradio
 sdk_version: 5.29.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

logoGenertor.py

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+import torch
+from diffusers import StableDiffusionPipeline
+from PIL import Image
+import gradio as gr
+
+# Load the pre-trained Stable Diffusion model
+pipe = StableDiffusionPipeline.from_pretrained(
+    "runwayml/stable-diffusion-v1-5",
+    torch_dtype=torch.float16
+)
+pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
+
+# Logo generation function
+def generate_logo(description):
+    prompt = f"A high-quality, professional logo: {description}, sharp, modern, HD"
+    image = pipe(
+        prompt,
+        height=512,
+        width=512,
+        num_inference_steps=50,
+        guidance_scale=7.5
+    ).images[0]
+    return image.resize((1024, 1024), resample=Image.LANCZOS)
+
+# Gradio interface
+iface = gr.Interface(
+    fn=generate_logo,
+    inputs=gr.Textbox(label="Logo Description"),
+    outputs=gr.Image(type="pil", label="Generated Logo"),
+    title="AI Logo Generator",
+    description="Enter a description to generate a high-quality logo"
+)
+
+iface.launch(share=True)