Added lilypond execution engine

endpoints/lollms_advanced.py

@@ -51,6 +51,8 @@ from utilities.execution_engines.mermaid_execution_engine import execute_mermaid
 from utilities.execution_engines.graphviz_execution_engine import execute_graphviz
 from utilities.execution_engines.svg_execution_engine import execute_svg
 
+from utilities.execution_engines.lilypond_execution_engine import execute_lilypond
+
 
 import os
 from fastapi import FastAPI, UploadFile, File
@@ -115,6 +117,11 @@ async def execute_code(request: CodeRequest):
             ASCIIColors.info("Executing svg code:")
             ASCIIColors.yellow(code)
             return execute_svg(sanitize_svg(code), client, message_id)
+        if language=="lilypond":
+            ASCIIColors.info("Executing svg code:")
+            ASCIIColors.yellow(code)
+            return execute_lilypond(code, client, message_id)
+            
         if language=="javascript":
             ASCIIColors.info("Executing javascript code:")
             ASCIIColors.yellow(code)

endpoints/lollms_help.py

@@ -38,17 +38,6 @@ def validate_file_path(path):
         print(f"Path validation error: {str(e)}")
         return False
 
-from utilities.execution_engines.python_execution_engine import execute_python
-from utilities.execution_engines.latex_execution_engine import execute_latex
-from utilities.execution_engines.shell_execution_engine import execute_bash
-from utilities.execution_engines.javascript_execution_engine import execute_javascript
-from utilities.execution_engines.html_execution_engine import execute_html
-
-from utilities.execution_engines.mermaid_execution_engine import execute_mermaid
-from utilities.execution_engines.graphviz_execution_engine import execute_graphviz
-from utilities.execution_engines.svg_execution_engine import execute_svg
-
-
 
 
 # ----------------------- Defining router and main class ------------------------------

utilities/execution_engines/lilypond_execution_engine.py

@@ -0,0 +1,85 @@
+"""
+project: lollms_webui
+file: lilypond_execution_engine.py 
+author: LilyPond integration
+description: 
+    This is a utility for executing LilyPond code in LOLLMS
+"""
+
+import pipmaster as pm
+from lollms_webui import LOLLMSWebUI
+from ascii_colors import trace_exception
+import subprocess
+import time
+from pathlib import Path
+from lollms.client_session import Client
+from lollms.utilities import discussion_path_to_url, show_yes_no_dialog
+import shutil
+lollmsElfServer:LOLLMSWebUI = LOLLMSWebUI.get_instance()
+
+def check_and_install_lilypond():
+    """Check if LilyPond is installed and install it if needed"""
+    if not pm.is_installed("lilypond"):
+        if not show_yes_no_dialog("Installation","LilyPond is not installed. Do you want to install it?"):
+            return {"status":False,"error":"User refused LilyPond installation!"}
+        try:
+            pm.install("lilypond")
+            return {"status":True}
+        except Exception as ex:
+            return {"status":False,"error":f"Failed to install LilyPond: {str(ex)}"}
+    return {"status":True}
+
+def execute_lilypond(code, client:Client, message_id):
+    """Execute LilyPond code and return the result"""
+    try:
+        # Check LilyPond installation
+        check_result = check_and_install_lilypond()
+        if not check_result["status"]:
+            return {"output": check_result["error"], "execution_time": 0}
+
+        # Start timer
+        start_time = time.time()
+
+        # Import LilyPond after installation check
+        import lilypond
+
+        # Create work directory in discussion folder
+        root_folder = client.discussion.discussion_folder
+        root_folder.mkdir(parents=True, exist_ok=True)
+        
+        # Create LilyPond file
+        ly_file = root_folder/f"score_{message_id}.ly"
+        ly_file.write_text(code)
+
+        # Get the PDF and MIDI outputs
+        pdf_file = ly_file.with_suffix('.pdf')
+        midi_file = ly_file.with_suffix('.mid')
+
+        # Compile the file
+        subprocess.run([lilypond.executable(), str(ly_file)], check=True, cwd=root_folder)
+
+        # Create links to files
+        if not "http" in lollmsElfServer.config.host and not "https" in lollmsElfServer.config.host:
+            host = "http://"+lollmsElfServer.config.host
+        else:
+            host = lollmsElfServer.config.host
+
+        pdf_link = f"{host}:{lollmsElfServer.config.port}{discussion_path_to_url(pdf_file)}"
+        midi_link = f"{host}:{lollmsElfServer.config.port}{discussion_path_to_url(midi_file)}"
+
+        # Create output HTML
+        output = f"""
+        <div>
+            <h3>LilyPond Output:</h3>
+            <p><a href="{pdf_link}" target="_blank">View PDF Score</a></p>
+            <p><a href="{midi_link}" target="_blank">Download MIDI</a></p>
+            <embed src="{pdf_link}" type="application/pdf" width="100%" height="600px">
+        </div>
+        """
+
+        execution_time = time.time() - start_time
+        return {"output": output, "execution_time": execution_time}
+
+    except Exception as ex:
+        trace = trace_exception(ex)
+        return {"output": f"Error executing LilyPond code:\n{trace}", "execution_time": 0}

web/dist/index.html

@@ -6,8 +6,8 @@
     <script src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js"></script>
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>LoLLMS WebUI</title>
-    <script type="module" crossorigin src="/assets/index-CX5jATIW.js"></script>
-    <link rel="stylesheet" crossorigin href="/assets/index-Dk2jggHn.css">
+    <script type="module" crossorigin src="/assets/index-CSHYN0YB.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-CZl152Xi.css">
   </head>
   <body>
     <div id="app"></div>

web/src/components/CodeBlock.vue

@@ -20,7 +20,7 @@
               >
         <i data-feather="copy"></i>
       </button>
-      <button v-if="['function', 'python', 'sh', 'shell', 'bash', 'cmd', 'powershell', 'latex', 'mermaid', 'graphviz', 'dot', 'javascript', 'html', 'html5', 'svg'].includes(language)" ref="btn_code_exec" @click="executeCode"  title="execute"
+      <button v-if="['function', 'python', 'sh', 'shell', 'bash', 'cmd', 'powershell', 'latex', 'mermaid', 'graphviz', 'dot', 'javascript', 'html', 'html5', 'svg', 'lilypond'].includes(language)" ref="btn_code_exec" @click="executeCode"  title="execute"
         class="px-2 py-1 mr-2 mb-2 text-left text-sm font-medium rounded-lg hover:bg-primary dark:hover:bg-primary text-white transition-colors duration-200"
         :class="isExecuting?'bg-green-500':''">
         <i data-feather="play-circle"></i>

web/src/views/DiscussionsView.vue

@@ -1292,7 +1292,38 @@ export default {
                 "Quantum computers can perform calculations in minutes that would take classical computers thousands of years.",
                 "LoLLMs supports multimodal interactions, allowing users to work with both text and images.",
                 "The name Saïph in Arabic (سيف) means 'sword', symbolizing cutting-edge AI technology.",
-                '<div class="flex items-center justify-center"><iframe width="560" height="315" src="https://www.youtube.com/embed/7pSXGj0dSzE?si=Ov0Y4F2mCRSB61xc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div>'
+                '<div class="flex items-center justify-center"><iframe width="560" height="315" src="https://www.youtube.com/embed/7pSXGj0dSzE?si=Ov0Y4F2mCRSB61xc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div>',
+                "LoLLMs' version naming often contains clever easter eggs and references to AI advancements.",
+                "The 'Strawberry' version of LoLLMs was a playful nod to ChatGPT's internal codename for one of its versions.",
+                "The 'Saïph' version name was an intentional reference to Orion, anticipating OpenAI's rumored AGI-capable model codenamed 'Orion'.",
+                "LoLLMs' evolution can be traced through its version names: Warp, Starship, Robot, Brainwave, Strawberry, and Saïph.",
+                "Each LoLLMs version name reflects either technological advancement or pays homage to significant developments in AI.",
+                "'Warp' and 'Starship' versions symbolized the quantum leap in AI capabilities and speed improvements.",
+                "'Robot' represented the system's growing autonomy and ability to perform complex tasks.",
+                "'Brainwave' highlighted the neural network aspects and cognitive capabilities of the system.",
+                "LoLLMs' version naming shows ParisNeo's keen awareness of industry trends and playful approach to development.",   
+                // New facts to add to the interestingFacts array
+                "LoLLMs can generate and visualize mathematical equations using LaTeX, making it a powerful tool for scientific documentation.",
+                "The system's multimodel capabilities allow it to analyze medical images, architectural blueprints, and technical diagrams.",
+                "LoLLMs includes a unique feature called 'personality system' that allows it to adapt its communication style and expertise.",
+                "Did you know? LoLLMs can process and generate music notation using ABC notation or LilyPond formats.",
+                "LoLLMs supports over 40 different AI models, making it one of the most versatile open-source AI platforms.",
+                "The system can generate realistic 3D scenes descriptions that can be rendered using tools like Blender.",
+                "LoLLMs features a unique 'model fusion' capability, combining strengths of different AI models for better results.",
+                "The platform includes specialized modules for scientific computing, allowing it to solve complex mathematical problems.",
+                "LoLLMs can analyze and generate code in over 20 programming languages, including rare ones like COBOL and Fortran.",
+                "The system includes advanced prompt engineering tools, helping users get better results from AI models.",
+                "LoLLMs can generate and interpret QR codes, making it useful for creating interactive marketing materials.",
+                "The platform supports real-time voice interaction through its advanced speech-to-text and text-to-speech capabilities.",
+                "LoLLMs can analyze satellite imagery for environmental monitoring and urban planning applications.",
+                "The system includes specialized modules for protein folding prediction and molecular visualization.",
+                "LoLLMs features a built-in 'ethical AI' framework that ensures responsible and bias-aware AI interactions.",
+                "The platform can generate realistic synthetic data while preserving privacy and maintaining statistical properties.",
+                "LoLLMs includes advanced natural language processing capabilities in over 100 languages.",
+                "The system can perform sentiment analysis on social media trends and customer feedback in real-time.",
+                "LoLLMs features a unique 'time-aware' context system that understands and reasons about temporal relationships.",
+                "The platform includes specialized tools for quantum computing simulation and algorithm development."
+
             ],
             randomFact: "",            
             showPlaceholderModal: false,

zoos/bindings_zoo

@@ -1 +1 @@
-Subproject commit 9d7182f972199b99022372937486ae771774f910
+Subproject commit a7406c349335dfa982c1f3c751aca16852c06c77

zoos/models_zoo

@@ -1 +1 @@
-Subproject commit c758105281caee7c41a5c4d1258bfc77e1191467
+Subproject commit 9b14edd78d50493e037ae29e814fee038b4a1dec

zoos/personalities_zoo

@@ -1 +1 @@
-Subproject commit 4b299818e120a6b76d119905d965bb30abc39131
+Subproject commit 5c19109f1bd3ac9c319c0b729e2434b1ca6b0732