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README.md

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----
-title: CodeZipper
-emoji: 📉
-colorFrom: indigo
-colorTo: gray
-sdk: gradio
-sdk_version: 5.49.1
-app_file: app.py
-pinned: false
-short_description: Bundles AI generated code into a downloadable  zip file
----
+# AI Project Packager (Hugging Face Space)
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+This Space lets you paste AI-generated multi-file project responses and automatically turns them into a downloadable `.zip` ready for local use.
+
+## How to Use
+1. Paste an AI-generated project (with multiple ``` code blocks) into the text box.
+2. The Space detects filenames and code blocks.
+3. Click “Submit” to generate and download a ready-to-run ZIP file.
+
+Built with **Gradio**.

app.py

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+import gradio as gr
+import re, os, zipfile, tempfile
+
+def parse_ai_response(text):
+    files = []
+    pattern = r"```([a-zA-Z0-9]+)?\n([\s\S]*?)```"
+    matches = re.findall(pattern, text)
+
+    lines = text.splitlines()
+    inferred_names = []
+    for i, line in enumerate(lines):
+        if re.search(r"(`.*?`|\.js|\.html|\.css|\.py)", line):
+            m = re.search(r"([A-Za-z0-9_\-]+\.[A-Za-z0-9]+)", line)
+            if m:
+                inferred_names.append(m.group(1))
+
+    for i, (lang, code) in enumerate(matches):
+        filename = inferred_names[i] if i < len(inferred_names) else f"file_{i+1}.{lang or 'txt'}"
+        files.append((filename, code))
+    return files
+
+def create_zip(files):
+    temp_dir = tempfile.mkdtemp()
+    zip_path = os.path.join(temp_dir, "project.zip")
+    with zipfile.ZipFile(zip_path, "w") as zipf:
+        for name, content in files:
+            file_path = os.path.join(temp_dir, name)
+            os.makedirs(os.path.dirname(file_path), exist_ok=True)
+            with open(file_path, "w", encoding="utf-8") as f:
+                f.write(content)
+            zipf.write(file_path, arcname=name)
+    return zip_path
+
+def process_response(text):
+    files = parse_ai_response(text)
+    zip_path = create_zip(files)
+    return zip_path
+
+interface = gr.Interface(
+    fn=process_response,
+    inputs=gr.Textbox(lines=30, label="Paste AI project response here"),
+    outputs=gr.File(label="Download generated ZIP"),
+    title="AI Project Packager",
+    description="Paste an AI-generated project (like a Node.js or Python app) and this tool will parse, assemble, and zip the files for you."
+)
+
+if __name__ == "__main__":
+    interface.launch()

requirements.txt

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+gradio>=4.0

space.yaml

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+# space.yaml
+title: AI Project Packager
+emoji: 📦
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 4.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+runtime: python3.10