LocalAI-Amlan-Edition

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Amlan-109 commited on 29 days ago

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DATA/Setup_Guide.html +0 -162
DATA/WhatsApp Image 2025-12-27 at 5.40.51 PM.jpeg +0 -3
DATA/full-stack-developer-and-ui-ux-designer-with-award-winning-projects (3) (1).pdf +0 -3
Dockerfile +2 -1
entrypoint.sh +6 -1

DATA/Setup_Guide.html DELETED Viewed

@@ -1,162 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>LocalAI (Amlan Edition) - Setup Guide</title>
-    <style>
-        body {
-            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
-            line-height: 1.6;
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-            a {
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-    </style>
-</head>
-<body>
-    <div class="container">
-        <h1>LocalAI (Amlan Edition) - Setup Guide</h1>
-        <p><strong>Version:</strong> 1.0.0 (Custom Build)</p>
-        <p><strong>Author:</strong> Amlan Mallick</p>
-        <p><strong>Date:</strong> February 09, 2026</p>
-        <h2>1. Project Overview</h2>
-        <p>
-            LocalAI (Amlan Edition) is a customized version of the open-source LocalAI project, tailored specifically
-            by Amlan Mallick. It serves as a drop-in replacement for OpenAI's API, allowing you to run Large Language Models (LLMs),
-            generate images, and synthesize audio locally on your own hardware without needing a GPU.
-        </p>
-        <p>This customized version includes specialized branding, a dedicated Author portfolio page, and enhanced UI elements.</p>
-        <h2>2. Technologies Used</h2>
-        <ul>
-            <li><strong>Backend:</strong> Go (Golang) - High performance server handling API requests.</li>
-            <li><strong>Frontend:</strong> HTML Templates with Tailwind CSS & Alpine.js - Lightweight, responsive UI.</li>
-            <li><strong>Containerization:</strong> Docker - Provides a consistent environment across all operating systems.</li>
-            <li><strong>Inference Engine:</strong> C++/Python bindings (llama.cpp, etc.) for running AI models.</li>
-        </ul>
-        <h2>3. Prerequisites</h2>
-        <p>To run this project on any computer (Windows, Mac, or Linux), you need:</p>
-        <ul>
-            <li><strong>Docker Desktop:</strong> Essential for building and running the container. (Installation required)</li>
-            <li><strong>Git (Optional):</strong> For cloning the repository.</li>
-            <li><strong>16GB+ RAM (Recommended):</strong> Running AI models requires memory.</li>
-        </ul>
-        <h2>4. Installation Steps (Any Computer)</h2>
-        <h3>Step 1: Get the Code</h3>
-        <p>Download the project source code directly or clone it from the repository.</p>
-        <pre>git clone https://github.com/Amlan-109/LocalAI-master.git
-cd LocalAI-master</pre>
-        <h3>Step 2: Build the Docker Image</h3>
-        <p>Use Docker to compile the application into a standalone image. This creates a portable package containing everything needed to run LocalAI.</p>
-        <pre>docker build -t localai-amlan .</pre>
-        <div class="note">
-            <strong>Note:</strong> This process may take 5-15 minutes depending on your internet speed, as it downloads dependencies and compiles the source code.
-        </div>
-        <h3>Step 3: Run the Application</h3>
-        <p>Start the container using the image you just built. We map port 8080 so you can access it in your browser.</p>
-        <pre>docker run -p 8080:8080 --name local-ai-amlan -ti localai-amlan</pre>
-        <h2>5. Accessing the Features</h2>
-        <p>Once the container is running, open your web browser:</p>
-        <ul>
-            <li><strong>Main Interface:</strong> <a href="http://localhost:8080">http://localhost:8080</a></li>
-            <li><strong>Author Portfolio:</strong> <a href="https://dev-portfolio-showcase-v1.web.app/" target="_blank">https://dev-portfolio-showcase-v1.web.app/</a></li>
-            <li><strong>API Endpoint:</strong> <a href="http://localhost:8080/v1/chat/completions">http://localhost:8080/v1/chat/completions</a></li>
-        </ul>
-        <h2>6. Troubleshooting</h2>
-        <ul>
-            <li><strong>Port Conflict:</strong> If port 8080 is already in use, change the command to use a different port (e.g., 9090):
-                <code>docker run -p 9090:8080 ...</code>
-            </li>
-            <li><strong>Models Not Found:</strong> You may need to mount a volume to store models persistently:
-                <code>-v ./models:/build/models</code>
-            </li>
-        </ul>
-        <div class="footer">
-            &copy; 2023-2026 Amlan Mallick. All Rights Reserved.
-        </div>
-    </div>
-    <script>
-        // Optional: Auto-print dialog on load
-        // window.onload = function() { window.print(); }
-    </script>
-</body>
-</html>

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Git LFS Details

SHA256: 621e880084a65dd2afef370d60bd67de23b5dc6e4747479e37ba59b6af4d2cea
Pointer size: 131 Bytes
Size of remote file: 163 kB

DATA/full-stack-developer-and-ui-ux-designer-with-award-winning-projects (3) (1).pdf DELETED Viewed

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-size 1520630

Dockerfile CHANGED Viewed

@@ -372,5 +372,6 @@ HEALTHCHECK --interval=1m --timeout=10m --retries=10 \
   CMD curl -f ${HEALTHCHECK_ENDPOINT} || exit 1
 VOLUME /models /backends /configuration
-EXPOSE 8080
 ENTRYPOINT [ "/entrypoint.sh" ]

   CMD curl -f ${HEALTHCHECK_ENDPOINT} || exit 1
 VOLUME /models /backends /configuration
+EXPOSE 7860
+ENV PORT=7860
 ENTRYPOINT [ "/entrypoint.sh" ]

entrypoint.sh CHANGED Viewed

@@ -32,4 +32,9 @@ else
 	echo "CPU: no AVX512 found"
 fi
-exec ./local-ai "$@"

 	echo "CPU: no AVX512 found"
 fi
+# Handle the PORT environment variable for platforms like Hugging Face
+if [ -n "$PORT" ]; then
+    exec ./local-ai --address :$PORT "$@"
+else
+    exec ./local-ai "$@"
+fi