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oscarwang2
commited on
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•
a076bea
1
Parent(s):
3b405b9
Update app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,3 @@
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import gradio as gr
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import os
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import subprocess
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import tempfile
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@@ -7,6 +6,7 @@ from zipfile import ZipFile
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import logging
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import json
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import psutil
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import threading
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# Configure logging
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@@ -14,8 +14,6 @@ logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Initialize Flask app
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from flask import Flask, request, jsonify
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app = Flask(__name__)
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connected_cpus = {}
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@@ -60,16 +58,23 @@ def run_script(script_name, folder_path):
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return log_output
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# Function to handle file uploads and script execution
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# Create a temporary directory to store uploaded files
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temp_dir = tempfile.mkdtemp()
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# Save the uploaded folder contents to the temporary directory
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folder_path = os.path.join(temp_dir, 'uploaded_folder')
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os.makedirs(folder_path, exist_ok=True)
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for
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# Run the script
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log_output = run_script(script_name, folder_path)
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@@ -81,43 +86,24 @@ def handle_upload(folder, script_name):
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for file in files:
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zipf.write(os.path.join(root, file), os.path.relpath(os.path.join(root, file), folder_path))
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return log_output, zip_path
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#
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def get_cpu_info():
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info = []
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for host, data in connected_cpus.items():
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info.append(f"{host}: {data['cpu_count']} CPUs, {data['usage']}% usage")
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return "\n".join(info)
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#
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# Function to launch Gradio interface
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def launch_gradio_interface():
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iface = gr.Interface(
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fn=handle_upload,
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inputs=[
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gr.File(label="Upload Folder", file_count="multiple", file_types=['file']),
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gr.Textbox(label="Python Script Name")
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],
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outputs=[
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gr.Textbox(label="Log Output", interactive=False),
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gr.File(label="Download Output Folder"),
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gr.Textbox(label="Connected CPUs Info", interactive=False)
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],
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live=True,
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theme="light" # Specify a theme that works, "light" is an example
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)
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iface.launch()
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# Start Flask app in a separate thread
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if __name__ == "__main__":
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flask_thread.start()
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# Launch Gradio interface in the main thread
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launch_gradio_interface()
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flask_thread.join()
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import os
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import subprocess
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import tempfile
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import logging
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import json
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import psutil
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from flask import Flask, request, jsonify, render_template, send_file
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import threading
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# Configure logging
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logger = logging.getLogger(__name__)
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# Initialize Flask app
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app = Flask(__name__)
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connected_cpus = {}
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return log_output
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# Function to handle file uploads and script execution
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@app.route('/upload', methods=['POST'])
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def handle_upload():
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if 'file' not in request.files or 'script_name' not in request.form:
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return jsonify({"status": "error", "message": "File or script name not provided"}), 400
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files = request.files.getlist('file')
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script_name = request.form['script_name']
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# Create a temporary directory to store uploaded files
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temp_dir = tempfile.mkdtemp()
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# Save the uploaded folder contents to the temporary directory
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folder_path = os.path.join(temp_dir, 'uploaded_folder')
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os.makedirs(folder_path, exist_ok=True)
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for file_obj in files:
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file_path = os.path.join(folder_path, file_obj.filename)
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file_obj.save(file_path)
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# Run the script
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log_output = run_script(script_name, folder_path)
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for file in files:
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zipf.write(os.path.join(root, file), os.path.relpath(os.path.join(root, file), folder_path))
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return jsonify({"status": "success", "log_output": log_output, "download_url": f"/download/{os.path.basename(zip_path)}"})
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@app.route('/download/<filename>')
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def download_file(filename):
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return send_file(os.path.join(tempfile.gettempdir(), filename), as_attachment=True)
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# Endpoint to get connected CPUs information
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@app.route('/cpu_info', methods=['GET'])
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def get_cpu_info():
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info = []
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for host, data in connected_cpus.items():
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info.append(f"{host}: {data['cpu_count']} CPUs, {data['usage']}% usage")
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return jsonify({"status": "success", "cpu_info": "\n".join(info)})
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# Main interface
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@app.route('/')
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def index():
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return render_template('index.html')
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if __name__ == "__main__":
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app.run(host='0.0.0.0', port=7860, threaded=True)
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