Spaces:
Sleeping
Sleeping
raksa-the-wildcats
commited on
Commit
Β·
c528fe0
1
Parent(s):
fc72a6f
Third commit
Browse files
app.py
CHANGED
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@@ -9,17 +9,22 @@ from pathlib import Path
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import time
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import threading
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import queue
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class
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def __init__(self):
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self.temp_dir = tempfile.mkdtemp()
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self.max_execution_time =
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def
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"""
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dangerous_imports = [
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'subprocess', 'os.system', 'eval', 'exec', 'open',
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'__import__', 'compile', 'globals', 'locals'
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]
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for dangerous in dangerous_imports:
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@@ -27,115 +32,66 @@ class ManimMCPServer:
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return False, f"Dangerous operation detected: {dangerous}"
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# Check if it's a valid Python-like structure
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if '
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return False, "Code must import
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if '
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return False, "Code must contain
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return True, "Valid"
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def
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"""
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result_queue = queue.Queue()
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def run_command():
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try:
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result = subprocess.run(
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cmd,
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shell=True,
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capture_output=True,
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text=True,
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cwd=self.temp_dir
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)
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result_queue.put(('success', result))
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except Exception as e:
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result_queue.put(('error', str(e)))
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thread = threading.Thread(target=run_command)
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thread.daemon = True
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thread.start()
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thread.join(timeout)
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if thread.is_alive():
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return False, "Execution timed out"
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if result_queue.empty():
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return False, "Execution failed"
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status, result = result_queue.get()
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if status == 'error':
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return False, result
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return True, result
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def render_manim_animation(self, code, scene_name=None, quality="medium_quality"):
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""" Render Manim animation and return video path """
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try:
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# Validate code
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is_valid, message = self.
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if not is_valid:
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return None, f"Code validation failed: {message}"
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# Create
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}
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# Render animation
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cmd = f"manim {quality_flag} animation.py {scene_name}"
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success, result = self.execute_with_timeout(cmd, self.max_execution_time)
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if not success:
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return None, f"Rendering failed: {result}"
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#
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if
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for root, dirs, files in os.walk(media_dir):
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for file in files:
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if file.endswith('.mp4'):
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video_files.append(os.path.join(root, file))
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if not video_files:
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return None, "No MP4 files generated. Check your scene code."
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# Return the most recent video file
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latest_video = max(video_files, key=os.path.getctime)
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return latest_video, "Animation rendered successfully!"
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except Exception as e:
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return None, f"
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def cleanup(self):
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"""Clean up temporary files"""
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@@ -145,58 +101,125 @@ class ManimMCPServer:
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pass
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# Initialize the server
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# Example
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EXAMPLE_SCRIPTS = {
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"
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"Simple Animation": '''from manim import *
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circle = Circle()
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circle.set_fill(PINK, opacity=0.5)
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square = Square()
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square.set_fill(BLUE, opacity=0.5)
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self.play(Create(circle))
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self.play(Transform(circle, square))
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self.play(Rotate(square, PI/2))
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self.wait()''',
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"Mathematical Formula": '''from manim import *
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}
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def
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"""
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if not code.strip():
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return None, "Please provide
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try:
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video_path, message =
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if video_path:
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return video_path, f"β
{message}"
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return None, f"β Error: {str(e)}"
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def load_example(example_name):
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"""
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return EXAMPLE_SCRIPTS.get(example_name, "")
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def clear_all():
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"""Clear all fields"""
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return "",
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# Create Gradio interface
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with gr.Blocks(title="
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## How to use:
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1. Write or select
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3.
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""")
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with gr.Row():
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with gr.Column(scale=2):
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gr.Markdown("### π
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with gr.Row():
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example_dropdown = gr.Dropdown(
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clear_btn = gr.Button("Clear All", size="sm")
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code_input = gr.Code(
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label="
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language="python",
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lines=
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value=EXAMPLE_SCRIPTS["
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)
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)
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quality_input = gr.Dropdown(
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choices=["low_quality", "medium_quality", "high_quality", "production_quality"],
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label="Quality",
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value="medium_quality"
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)
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with gr.Column(scale=1):
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gr.Markdown("### π₯ Output")
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status_output = gr.Textbox(
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label="Status",
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lines=
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interactive=False
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)
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)
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gr.Markdown("""
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### π Tips:
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### β οΈ Limitations:
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""")
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# Event handlers
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clear_btn.click(
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fn=clear_all,
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outputs=[code_input,
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)
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fn=
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inputs=[code_input,
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outputs=[video_output, status_output]
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)
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import time
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import threading
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import queue
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import numpy as np
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from io import StringIO
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import sys
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class LightweightAnimationServer:
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def __init__(self):
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self.temp_dir = tempfile.mkdtemp()
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self.max_execution_time = 30 # 30 seconds timeout
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def validate_animation_code(self, code):
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"""Basic validation of animation code"""
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dangerous_imports = [
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'subprocess', 'os.system', 'eval', 'exec', 'open',
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'__import__', 'compile', 'globals', 'locals', 'input'
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]
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for dangerous in dangerous_imports:
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return False, f"Dangerous operation detected: {dangerous}"
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# Check if it's a valid Python-like structure
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if 'import matplotlib' not in code and 'from matplotlib' not in code:
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return False, "Code must import matplotlib"
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if 'def animate' not in code and 'def create_animation' not in code:
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return False, "Code must contain an animate or create_animation function"
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return True, "Valid"
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def execute_animation_code(self, code):
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"""Execute animation code safely"""
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try:
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# Validate code
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is_valid, message = self.validate_animation_code(code)
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if not is_valid:
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return None, f"Code validation failed: {message}"
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# Create a restricted execution environment
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restricted_globals = {
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'__builtins__': {
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'range': range,
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'len': len,
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'enumerate': enumerate,
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'zip': zip,
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'min': min,
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'max': max,
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'abs': abs,
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'round': round,
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'sum': sum,
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'print': print,
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'int': int,
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'float': float,
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'str': str,
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'list': list,
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'dict': dict,
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'tuple': tuple,
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'set': set,
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},
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'np': np,
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'plt': plt,
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'animation': animation,
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'matplotlib': plt.matplotlib,
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}
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# Create output file path
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output_path = os.path.join(self.temp_dir, "animation.mp4")
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# Add the output path to the environment
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restricted_globals['output_path'] = output_path
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# Execute the code
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exec(code, restricted_globals)
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# Check if animation was created
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if os.path.exists(output_path):
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return output_path, "Animation created successfully!"
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else:
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return None, "No animation file was generated. Make sure your code saves to 'output_path'."
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except Exception as e:
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return None, f"Execution error: {str(e)}\n{traceback.format_exc()}"
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def cleanup(self):
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"""Clean up temporary files"""
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pass
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# Initialize the server
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animation_server = LightweightAnimationServer()
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# Example animation scripts
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EXAMPLE_SCRIPTS = {
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"Sine Wave": '''import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import numpy as np
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# Create figure and axis
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fig, ax = plt.subplots(figsize=(10, 6))
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ax.set_xlim(0, 4*np.pi)
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ax.set_ylim(-2, 2)
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ax.set_xlabel('x')
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ax.set_ylabel('sin(x)')
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ax.set_title('Animated Sine Wave')
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x = np.linspace(0, 4*np.pi, 1000)
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line, = ax.plot([], [], 'b-', linewidth=2)
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def animate(frame):
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y = np.sin(x + frame/10)
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line.set_data(x, y)
|
| 126 |
+
return line,
|
| 127 |
+
|
| 128 |
+
# Create animation
|
| 129 |
+
anim = animation.FuncAnimation(fig, animate, frames=200, interval=50, blit=True)
|
| 130 |
+
anim.save(output_path, writer='ffmpeg', fps=20)
|
| 131 |
+
plt.close()''',
|
| 132 |
+
|
| 133 |
+
"Growing Circle": '''import matplotlib.pyplot as plt
|
| 134 |
+
import matplotlib.animation as animation
|
| 135 |
+
import numpy as np
|
| 136 |
+
|
| 137 |
+
fig, ax = plt.subplots(figsize=(8, 8))
|
| 138 |
+
ax.set_xlim(-2, 2)
|
| 139 |
+
ax.set_ylim(-2, 2)
|
| 140 |
+
ax.set_aspect('equal')
|
| 141 |
+
ax.set_title('Growing Circle')
|
| 142 |
+
|
| 143 |
+
circle = plt.Circle((0, 0), 0, fill=False, color='red', linewidth=3)
|
| 144 |
+
ax.add_patch(circle)
|
| 145 |
+
|
| 146 |
+
def animate(frame):
|
| 147 |
+
radius = (frame / 100) * 1.5
|
| 148 |
+
circle.set_radius(radius)
|
| 149 |
+
return circle,
|
| 150 |
+
|
| 151 |
+
anim = animation.FuncAnimation(fig, animate, frames=150, interval=100, blit=True)
|
| 152 |
+
anim.save(output_path, writer='ffmpeg', fps=10)
|
| 153 |
+
plt.close()''',
|
| 154 |
+
|
| 155 |
+
"Rotating Plot": '''import matplotlib.pyplot as plt
|
| 156 |
+
import matplotlib.animation as animation
|
| 157 |
+
import numpy as np
|
| 158 |
+
|
| 159 |
+
fig = plt.figure(figsize=(10, 8))
|
| 160 |
+
ax = fig.add_subplot(111, projection='3d')
|
| 161 |
+
|
| 162 |
+
# Generate data
|
| 163 |
+
t = np.linspace(0, 2*np.pi, 100)
|
| 164 |
+
x = np.cos(t)
|
| 165 |
+
y = np.sin(t)
|
| 166 |
+
z = t
|
| 167 |
+
|
| 168 |
+
line, = ax.plot(x, y, z, 'b-', linewidth=2)
|
| 169 |
+
ax.set_xlabel('X')
|
| 170 |
+
ax.set_ylabel('Y')
|
| 171 |
+
ax.set_zlabel('Z')
|
| 172 |
+
ax.set_title('Rotating 3D Helix')
|
| 173 |
+
|
| 174 |
+
def animate(frame):
|
| 175 |
+
ax.view_init(elev=30, azim=frame*2)
|
| 176 |
+
return line,
|
| 177 |
+
|
| 178 |
+
anim = animation.FuncAnimation(fig, animate, frames=180, interval=100, blit=False)
|
| 179 |
+
anim.save(output_path, writer='ffmpeg', fps=10)
|
| 180 |
+
plt.close()''',
|
| 181 |
+
|
| 182 |
+
"Bar Chart Race": '''import matplotlib.pyplot as plt
|
| 183 |
+
import matplotlib.animation as animation
|
| 184 |
+
import numpy as np
|
| 185 |
+
|
| 186 |
+
fig, ax = plt.subplots(figsize=(12, 8))
|
| 187 |
+
|
| 188 |
+
# Sample data
|
| 189 |
+
categories = ['A', 'B', 'C', 'D', 'E']
|
| 190 |
+
colors = ['red', 'blue', 'green', 'orange', 'purple']
|
| 191 |
+
|
| 192 |
+
def animate(frame):
|
| 193 |
+
ax.clear()
|
| 194 |
+
|
| 195 |
+
# Generate some dynamic data
|
| 196 |
+
values = np.random.rand(5) * (frame + 1) * 10
|
| 197 |
+
|
| 198 |
+
bars = ax.bar(categories, values, color=colors, alpha=0.7)
|
| 199 |
+
ax.set_ylim(0, 100)
|
| 200 |
+
ax.set_title(f'Animated Bar Chart - Frame {frame}')
|
| 201 |
+
ax.set_ylabel('Values')
|
| 202 |
+
|
| 203 |
+
# Add value labels on bars
|
| 204 |
+
for bar, value in zip(bars, values):
|
| 205 |
+
height = bar.get_height()
|
| 206 |
+
ax.text(bar.get_x() + bar.get_width()/2., height + 1,
|
| 207 |
+
f'{value:.1f}', ha='center', va='bottom')
|
| 208 |
+
|
| 209 |
+
return bars
|
| 210 |
+
|
| 211 |
+
anim = animation.FuncAnimation(fig, animate, frames=50, interval=200, blit=False)
|
| 212 |
+
anim.save(output_path, writer='ffmpeg', fps=5)
|
| 213 |
+
plt.close()'''
|
| 214 |
}
|
| 215 |
|
| 216 |
+
def create_animation(code, animation_type):
|
| 217 |
+
"""Gradio interface function for creating animations"""
|
| 218 |
if not code.strip():
|
| 219 |
+
return None, "Please provide animation code"
|
| 220 |
|
| 221 |
try:
|
| 222 |
+
video_path, message = animation_server.execute_animation_code(code)
|
| 223 |
|
| 224 |
if video_path:
|
| 225 |
return video_path, f"β
{message}"
|
|
|
|
| 230 |
return None, f"β Error: {str(e)}"
|
| 231 |
|
| 232 |
def load_example(example_name):
|
| 233 |
+
"""Load example script"""
|
| 234 |
return EXAMPLE_SCRIPTS.get(example_name, "")
|
| 235 |
|
| 236 |
def clear_all():
|
| 237 |
"""Clear all fields"""
|
| 238 |
+
return "", None, ""
|
| 239 |
+
|
| 240 |
+
# Try to install manim if not available, fallback to matplotlib-only mode
|
| 241 |
+
try:
|
| 242 |
+
import manim
|
| 243 |
+
MANIM_AVAILABLE = True
|
| 244 |
+
except ImportError:
|
| 245 |
+
MANIM_AVAILABLE = False
|
| 246 |
|
| 247 |
# Create Gradio interface
|
| 248 |
+
with gr.Blocks(title="Animation MCP Server", theme=gr.themes.Soft()) as demo:
|
| 249 |
+
if not MANIM_AVAILABLE:
|
| 250 |
+
gr.Markdown("""
|
| 251 |
+
# π¬ Animation MCP Server (Lightweight Mode)
|
| 252 |
+
|
| 253 |
+
**Note**: Full Manim is not available in this environment. This is a lightweight version using Matplotlib animations.
|
| 254 |
+
|
| 255 |
+
Create animated plots, charts, and visualizations using matplotlib's animation capabilities!
|
| 256 |
+
""")
|
| 257 |
+
else:
|
| 258 |
+
gr.Markdown("""
|
| 259 |
+
# π¬ Animation MCP Server
|
| 260 |
+
|
| 261 |
+
Create animations using matplotlib or Manim Community Edition!
|
| 262 |
+
""")
|
| 263 |
|
| 264 |
+
gr.Markdown("""
|
| 265 |
## How to use:
|
| 266 |
+
1. Write or select an animation script
|
| 267 |
+
2. Make sure your code saves the animation to `output_path`
|
| 268 |
+
3. Click "Create Animation"
|
| 269 |
+
|
| 270 |
+
### Key Requirements:
|
| 271 |
+
- Import matplotlib: `import matplotlib.pyplot as plt`
|
| 272 |
+
- Create animation: Use `matplotlib.animation.FuncAnimation`
|
| 273 |
+
- Save to output: `anim.save(output_path, writer='ffmpeg', fps=10)`
|
| 274 |
""")
|
| 275 |
|
| 276 |
with gr.Row():
|
| 277 |
with gr.Column(scale=2):
|
| 278 |
+
gr.Markdown("### π Animation Code")
|
| 279 |
|
| 280 |
with gr.Row():
|
| 281 |
example_dropdown = gr.Dropdown(
|
|
|
|
| 286 |
clear_btn = gr.Button("Clear All", size="sm")
|
| 287 |
|
| 288 |
code_input = gr.Code(
|
| 289 |
+
label="Animation Script",
|
| 290 |
language="python",
|
| 291 |
+
lines=25,
|
| 292 |
+
value=EXAMPLE_SCRIPTS["Sine Wave"]
|
| 293 |
)
|
| 294 |
|
| 295 |
+
animation_type = gr.Dropdown(
|
| 296 |
+
choices=["matplotlib", "manim"] if MANIM_AVAILABLE else ["matplotlib"],
|
| 297 |
+
label="Animation Type",
|
| 298 |
+
value="matplotlib"
|
| 299 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 300 |
|
| 301 |
+
create_btn = gr.Button("π¬ Create Animation", variant="primary", size="lg")
|
| 302 |
|
| 303 |
with gr.Column(scale=1):
|
| 304 |
gr.Markdown("### π₯ Output")
|
| 305 |
|
| 306 |
status_output = gr.Textbox(
|
| 307 |
label="Status",
|
| 308 |
+
lines=4,
|
| 309 |
interactive=False
|
| 310 |
)
|
| 311 |
|
|
|
|
| 315 |
)
|
| 316 |
|
| 317 |
gr.Markdown("""
|
| 318 |
+
### π Tips for Matplotlib Animations:
|
| 319 |
+
- Use `fig, ax = plt.subplots()` to create your plot
|
| 320 |
+
- Define an `animate(frame)` function that updates your plot
|
| 321 |
+
- Use `FuncAnimation(fig, animate, frames=N, interval=ms)`
|
| 322 |
+
- Always save with `anim.save(output_path, writer='ffmpeg')`
|
| 323 |
+
- Call `plt.close()` at the end to free memory
|
| 324 |
|
| 325 |
### β οΈ Limitations:
|
| 326 |
+
- 30-second execution timeout
|
| 327 |
+
- No file I/O operations
|
| 328 |
+
- Limited to safe Python operations
|
| 329 |
+
- Matplotlib animations only (unless full Manim is available)
|
| 330 |
""")
|
| 331 |
|
| 332 |
# Event handlers
|
|
|
|
| 338 |
|
| 339 |
clear_btn.click(
|
| 340 |
fn=clear_all,
|
| 341 |
+
outputs=[code_input, video_output, status_output]
|
| 342 |
)
|
| 343 |
|
| 344 |
+
create_btn.click(
|
| 345 |
+
fn=create_animation,
|
| 346 |
+
inputs=[code_input, animation_type],
|
| 347 |
outputs=[video_output, status_output]
|
| 348 |
)
|
| 349 |
|