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Update app.py
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app.py
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@@ -1,9 +1,13 @@
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import gradio as gr
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import subprocess
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import os
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logs = []
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inference_logs = []
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def run_training():
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global logs
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for line in process.stdout:
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logs.append(line)
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yield "\n".join(logs[-50:]) #
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def run_inference():
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global inference_logs
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output_lines.append(line)
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# ุญูุธ ุงููุชุงุฆุฌ
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with open("
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f.write("=== New Inference Run ===\n")
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f.writelines(output_lines)
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f.write("\n")
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yield "\n".join(inference_logs[-50:])
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def list_saved_files():
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data_dir = "/home/user/data"
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if not os.path.exists(data_dir):
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return "๐ No saved files found."
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files = os.listdir(data_dir)
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if not files:
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return "๐ No files found in /data."
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-
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with gr.Blocks(title="VRP Solver Interface") as demo:
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gr.Markdown("# ๐ VRP Solver: Transformer + RL + OR-Tools")
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start_btn.click(fn=run_training, outputs=output)
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with gr.Tab("๐ Inference"):
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infer_output = gr.Textbox(label="Inference Output", lines=15)
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infer_btn.click(fn=run_inference, outputs=infer_output)
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with gr.Tab("๐ Show Saved Files"):
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list_btn = gr.Button("List /data Files")
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file_output = gr.Textbox(label="Saved Files", lines=10)
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demo.launch()
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import gradio as gr
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import subprocess
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import os
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import shutil
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logs = []
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inference_logs = []
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data_dir = "/home/user/data"
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os.makedirs(data_dir, exist_ok=True) # ุชุฃูุฏ ู
ู ูุฌูุฏ ุงูู
ุฌูุฏ
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def run_training():
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global logs
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)
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for line in process.stdout:
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logs.append(line)
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yield "\n".join(logs[-50:]) # ุขุฎุฑ 50 ุณุทุฑ ููุท
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def run_inference():
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global inference_logs
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output_lines.append(line)
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# ุญูุธ ุงููุชุงุฆุฌ
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with open(os.path.join(data_dir, "inference_results.txt"), "a") as f:
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f.write("=== New Inference Run ===\n")
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f.writelines(output_lines)
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f.write("\n")
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yield "\n".join(inference_logs[-50:])
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def list_saved_files():
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files = os.listdir(data_dir)
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if not files:
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return [], "๐ No files found in /data."
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return files, "\n".join(f"๐ {f}" for f in files)
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def upload_files(file):
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if file is None:
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return "No file uploaded."
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dest_path = os.path.join(data_dir, os.path.basename(file.name))
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shutil.copy(file.name, dest_path)
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return f"โ
Uploaded to {dest_path}"
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def download_file(filename):
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file_path = os.path.join(data_dir, filename)
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if os.path.exists(file_path):
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return file_path
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else:
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return None
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with gr.Blocks(title="VRP Solver Interface") as demo:
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gr.Markdown("# ๐ VRP Solver: Transformer + RL + OR-Tools")
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start_btn.click(fn=run_training, outputs=output)
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with gr.Tab("๐ Inference"):
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with gr.Row():
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infer_btn = gr.Button("Run Inference")
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upload_input = gr.File(label="Upload File for Inference (.json or .pt)")
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upload_status = gr.Textbox(label="Upload Status")
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infer_output = gr.Textbox(label="Inference Output", lines=15)
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infer_btn.click(fn=run_inference, outputs=infer_output)
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upload_input.change(fn=upload_files, inputs=upload_input, outputs=upload_status)
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with gr.Tab("๐ Show Saved Files"):
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list_btn = gr.Button("List /data Files")
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file_output = gr.Textbox(label="Saved Files", lines=10)
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file_dropdown = gr.Dropdown(choices=[], label="Select File to Download")
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download_btn = gr.File(label="Download File")
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list_btn.click(fn=list_saved_files, outputs=[file_dropdown, file_output])
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file_dropdown.change(fn=download_file, inputs=file_dropdown, outputs=download_btn)
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demo.launch()
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