Update app.py

app.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""Nacrith -- Neural Arithmetic Compression -- Hugging Face Space Demo.
+"""Nacrith GPU -- Neural Arithmetic Compression -- Hugging Face Space Demo.
 
 Supports both text (NC01) and binary (NC02) compression.
 """
@@ -78,9 +78,9 @@ def compress_text(text):
 |---|---|---|
 | **Original** | {format_size(original_bytes)} | 100% |
 | **gzip -9** | {format_size(gzip_size)} | {gzip_ratio:.1f}% |
-| **Nacrith** | {format_size(compressed_size)} | {ratio:.1f}% |
+| **Nacrith GPU** | {format_size(compressed_size)} | {ratio:.1f}% |
 
-**Nacrith is {improvement:.1f}x smaller than gzip**
+**Nacrith GPU is {improvement:.1f}x smaller than gzip**
 
 Tokens: {num_tokens} | Time: {elapsed:.1f}s ({tokens_per_sec:.0f} tok/s) | Lossless: {verify} | Space saved: {100 - ratio:.1f}%
 """
@@ -169,9 +169,9 @@ def compress_file_b64(b64_data, filename):
 |---|---|---|
 | **Original** | {format_size(original_size)} | 100% |
 | **gzip -9** | {format_size(gzip_size)} | {gzip_ratio:.1f}% |
-| **Nacrith** | {format_size(compressed_size)} | {ratio:.1f}% |
+| **Nacrith GPU** | {format_size(compressed_size)} | {ratio:.1f}% |
 
-**Nacrith is {improvement:.1f}x smaller than gzip**
+**Nacrith GPU is {improvement:.1f}x smaller than gzip**
 
 Mode: {mode_label} | Time: {elapsed:.1f}s | Lossless: {verify} | Space saved: {100 - ratio:.1f}%
 """
@@ -195,11 +195,11 @@ Mode: {mode_label} | Time: {elapsed:.1f}s | Lossless: {verify} | Space saved: {1
 def _decompress_data(data):
     """Shared decompression logic. Returns (md, download_html, text)."""
     if len(data) < HEADER_SIZE:
-        return "**Invalid data.** Too short to be a Nacrith compressed file.", "", ""
+        return "**Invalid data.** Too short to be a Nacrith GPU compressed file.", "", ""
 
     magic = data[:4]
     if magic not in (MAGIC, MAGIC_BIN):
-        return "**Invalid data.** Not a Nacrith compressed file (wrong magic bytes).", "", ""
+        return "**Invalid data.** Not a Nacrith GPU compressed file (wrong magic bytes).", "", ""
 
     comp = get_compressor()
     is_binary = magic == MAGIC_BIN
@@ -293,11 +293,11 @@ def decompress_b64(b64_text):
 
 HEADER_HTML = """
 <div style="text-align: center; margin-bottom: 0.5em;">
-    <img src="https://raw.githubusercontent.com/st4ck/Nacrith/main/assets/banner.png" alt="Nacrith" style="max-width:420px;width:100%;margin:0 auto;">
+    <img src="https://raw.githubusercontent.com/st4ck/Nacrith-GPU/main/assets/banner_gpu.png" alt="Nacrith GPU" style="max-width:420px;width:100%;margin:0 auto;">
     <p style="font-size: 1.1em; color: #aaa; margin-top: 8px;">Neural Arithmetic Compression -- State-of-the-Art Lossless Encoding</p>
     <p style="font-size: 0.9em;">
         <a href="https://nacrith.com">Website</a> |
-        <a href="https://github.com/st4ck/Nacrith">GitHub</a> |
+        <a href="https://github.com/st4ck/Nacrith-GPU">GitHub</a> |
         SmolLM2-135M + Arithmetic Coding | Supports text &amp; binary files
     </p>
 </div>
@@ -361,7 +361,7 @@ function setupNcUpload() {
 setTimeout(setupNcUpload, 1200);
 """
 
-with gr.Blocks(title="Nacrith") as demo:
+with gr.Blocks(title="Nacrith GPU") as demo:
     gr.HTML(HEADER_HTML)
 
     # ---- Tab 1: Compress Text ----
@@ -487,7 +487,7 @@ The same model runs on both sides, guaranteeing perfect lossless reconstruction.
 **Binary (NC02):** Files are segmented into text-like and binary regions. Text regions are neural-compressed;
 binary regions are compressed with gzip or lzma. The hybrid approach beats gzip on files with significant text content.
 <br>
-<img src="https://raw.githubusercontent.com/st4ck/Nacrith/main/assets/compression_ratio.png" alt="Compression Ratio Bar Charts">
+<img src="https://raw.githubusercontent.com/st4ck/Nacrith-GPU/main/assets/compression_ratio.png" alt="Compression Ratio Bar Charts">
 <br>
 Apache 2.0 | Made by [Roberto Tacconelli](https://github.com/st4ck)
 """)