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import gradio as gr |
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from huggingface_hub import InferenceClient, HfApi |
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import os |
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import requests |
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from typing import List, Dict, Union |
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import traceback |
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from PIL import Image |
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from io import BytesIO |
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import asyncio |
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from gradio_client import Client |
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import time |
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import threading |
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import json |
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HF_TOKEN = os.getenv("HF_TOKEN") |
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hf_client = InferenceClient("CohereForAI/c4ai-command-r-plus-08-2024", token=HF_TOKEN) |
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hf_api = HfApi(token=HF_TOKEN) |
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def get_headers(): |
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if not HF_TOKEN: |
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raise ValueError("Hugging Face token not found in environment variables") |
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return {"Authorization": f"Bearer {HF_TOKEN}"} |
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def get_file_content(space_id: str, file_path: str) -> str: |
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file_url = f"https://huggingface.co/spaces/{space_id}/raw/main/{file_path}" |
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try: |
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response = requests.get(file_url, headers=get_headers()) |
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if response.status_code == 200: |
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return response.text |
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else: |
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return f"File not found or inaccessible: {file_path}" |
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except requests.RequestException: |
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return f"Error fetching content for file: {file_path}" |
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def get_space_structure(space_id: str) -> Dict: |
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try: |
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files = hf_api.list_repo_files(repo_id=space_id, repo_type="space") |
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tree = {"type": "directory", "path": "", "name": space_id, "children": []} |
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for file in files: |
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path_parts = file.split('/') |
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current = tree |
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for i, part in enumerate(path_parts): |
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if i == len(path_parts) - 1: |
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current["children"].append({"type": "file", "path": file, "name": part}) |
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else: |
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found = False |
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for child in current["children"]: |
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if child["type"] == "directory" and child["name"] == part: |
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current = child |
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found = True |
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break |
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if not found: |
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new_dir = {"type": "directory", "path": '/'.join(path_parts[:i+1]), "name": part, "children": []} |
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current["children"].append(new_dir) |
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current = new_dir |
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return tree |
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except Exception as e: |
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print(f"Error in get_space_structure: {str(e)}") |
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return {"error": f"API request error: {str(e)}"} |
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def format_tree_structure(tree_data: Dict, indent: str = "") -> str: |
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formatted = f"{indent}{tree_data['name']}\n" |
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if tree_data["type"] == "directory": |
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for child in sorted(tree_data.get("children", []), key=lambda x: (x["type"] != "directory", x["name"])): |
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formatted += format_tree_structure(child, indent + " ") |
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return formatted |
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def summarize_code(app_content: str) -> str: |
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system_message = "๋น์ ์ Python ์ฝ๋๋ฅผ ๋ถ์ํ๊ณ ์์ฝํ๋ AI ์กฐ์์
๋๋ค. ์ฃผ์ด์ง ์ฝ๋๋ฅผ 3์ค ์ด๋ด๋ก ๊ฐ๊ฒฐํ๊ฒ ์์ฝํด์ฃผ์ธ์." |
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user_message = f"๋ค์ Python ์ฝ๋๋ฅผ 3์ค ์ด๋ด๋ก ์์ฝํด์ฃผ์ธ์:\n\n{app_content}" |
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messages = [ |
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{"role": "system", "content": system_message}, |
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{"role": "user", "content": user_message} |
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] |
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try: |
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response = hf_client.chat_completion(messages, max_tokens=200, temperature=0.7) |
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return response.choices[0].message.content |
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except Exception as e: |
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return f"์์ฝ ์์ฑ ์ค ์ค๋ฅ ๋ฐ์: {str(e)}" |
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def analyze_code(app_content: str) -> str: |
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system_message = """๋น์ ์ Python ์ฝ๋๋ฅผ ๋ถ์ํ๋ AI ์กฐ์์
๋๋ค. ์ฃผ์ด์ง ์ฝ๋๋ฅผ ๋ถ์ํ์ฌ ๋ค์ ํญ๋ชฉ์ ๋ํด ์ค๋ช
ํด์ฃผ์ธ์: |
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A. ๋ฐฐ๊ฒฝ ๋ฐ ํ์์ฑ |
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B. ๊ธฐ๋ฅ์ ํจ์ฉ์ฑ ๋ฐ ๊ฐ์น |
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C. ํน์ฅ์ |
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D. ์ ์ฉ ๋์ ๋ฐ ํ๊ฒ |
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E. ๊ธฐ๋ํจ๊ณผ |
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๊ธฐ์กด ๋ฐ ์ ์ฌ ํ๋ก์ ํธ์ ๋น๊ตํ์ฌ ๋ถ์ํด์ฃผ์ธ์.""" |
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user_message = f"๋ค์ Python ์ฝ๋๋ฅผ ๋ถ์ํด์ฃผ์ธ์:\n\n{app_content}" |
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messages = [ |
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{"role": "system", "content": system_message}, |
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{"role": "user", "content": user_message} |
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] |
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try: |
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response = hf_client.chat_completion(messages, max_tokens=1000, temperature=0.7) |
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return response.choices[0].message.content |
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except Exception as e: |
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return f"๋ถ์ ์์ฑ ์ค ์ค๋ฅ ๋ฐ์: {str(e)}" |
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def explain_usage(app_content: str) -> str: |
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system_message = "๋น์ ์ Python ์ฝ๋๋ฅผ ๋ถ์ํ์ฌ ์ฌ์ฉ๋ฒ์ ์ค๋ช
ํ๋ AI ์กฐ์์
๋๋ค. ์ฃผ์ด์ง ์ฝ๋๋ฅผ ๋ฐํ์ผ๋ก ๋ง์น ํ๋ฉด์ ๋ณด๋ ๊ฒ์ฒ๋ผ ์ฌ์ฉ๋ฒ์ ์์ธํ ์ค๋ช
ํด์ฃผ์ธ์." |
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user_message = f"๋ค์ Python ์ฝ๋์ ์ฌ์ฉ๋ฒ์ ์ค๋ช
ํด์ฃผ์ธ์:\n\n{app_content}" |
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messages = [ |
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{"role": "system", "content": system_message}, |
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{"role": "user", "content": user_message} |
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] |
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try: |
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response = hf_client.chat_completion(messages, max_tokens=800, temperature=0.7) |
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return response.choices[0].message.content |
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except Exception as e: |
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return f"์ฌ์ฉ๋ฒ ์ค๋ช
์์ฑ ์ค ์ค๋ฅ ๋ฐ์: {str(e)}" |
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def analyze_space(url: str): |
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try: |
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space_id = url.split('spaces/')[-1] |
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app_content = get_file_content(space_id, "app.py") |
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summary = summarize_code(app_content) |
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analysis = analyze_code(app_content) |
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usage = explain_usage(app_content) |
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tree_structure = get_space_structure(space_id) |
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tree_view = format_tree_structure(tree_structure) |
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return summary, analysis, usage, app_content, tree_view, tree_structure, space_id |
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except Exception as e: |
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print(f"Error in analyze_space: {str(e)}") |
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print(traceback.format_exc()) |
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return f"์ค๋ฅ๊ฐ ๋ฐ์ํ์ต๋๋ค: {str(e)}", "", "", "", "", None, "" |
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def create_ui(): |
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try: |
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css = """ |
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footer {visibility: hidden;} |
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.output-group { |
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border: 1px solid #ddd; |
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border-radius: 5px; |
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padding: 10px; |
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margin-bottom: 20px; |
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} |
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.scroll-lock { |
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overflow: auto !important; |
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max-height: 400px !important; |
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} |
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""" |
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with gr.Blocks(css=css, theme="Nymbo/Nymbo_Theme") as demo: |
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gr.Markdown("# HuggingFace Space Analyzer") |
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with gr.Row(): |
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with gr.Column(scale=6): |
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url_input = gr.Textbox(label="HuggingFace Space URL") |
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analyze_button = gr.Button("๋ถ์") |
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with gr.Group(elem_classes="output-group scroll-lock"): |
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summary_output = gr.Textbox(label="์์ฝ (3์ค ์ด๋ด)", lines=3) |
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with gr.Group(elem_classes="output-group scroll-lock"): |
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analysis_output = gr.Textbox(label="๋ถ์", lines=15) |
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with gr.Group(elem_classes="output-group scroll-lock"): |
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usage_output = gr.Textbox(label="์ฌ์ฉ๋ฒ", lines=10) |
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with gr.Group(elem_classes="output-group scroll-lock"): |
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tree_view_output = gr.Textbox(label="ํ์ผ ๊ตฌ์กฐ (Tree View)", lines=20) |
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file_buttons = gr.Dataframe( |
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headers=["ํ์ผ ์ด๋ฆ", "์ด๊ธฐ"], |
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datatype=["str", "html"], |
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col_count=(2, "fixed"), |
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label="ํ์ผ ๋ฆฌ์คํธ" |
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) |
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with gr.Column(scale=4): |
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with gr.Group(elem_classes="output-group scroll-lock"): |
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code_tabs = gr.Tabs() |
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with code_tabs: |
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app_py_tab = gr.TabItem("app.py") |
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with app_py_tab: |
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app_py_content = gr.Code(language="python", label="app.py", lines=30) |
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space_id_state = gr.State() |
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tree_structure_state = gr.State() |
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def update_file_buttons(tree_structure, space_id): |
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if tree_structure is None: |
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return [] |
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def get_files(node): |
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files = [] |
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if node["type"] == "file": |
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files.append(node) |
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elif node["type"] == "directory": |
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for child in node.get("children", []): |
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files.extend(get_files(child)) |
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return files |
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files = get_files(tree_structure) |
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return [[file["path"], f'<button onclick="openFile(\'{file["path"]}\', \'{space_id}\')">์ด๊ธฐ</button>'] for file in files] |
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def open_file(file_path: str, space_id: str): |
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content = get_file_content(space_id, file_path) |
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return gr.Tabs.update(selected=file_path), gr.Code(value=content, language="python", label=file_path, lines=30) |
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analyze_button.click( |
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analyze_space, |
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inputs=[url_input], |
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outputs=[summary_output, analysis_output, usage_output, app_py_content, tree_view_output, tree_structure_state, space_id_state] |
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).then( |
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update_file_buttons, |
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inputs=[tree_structure_state, space_id_state], |
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outputs=[file_buttons] |
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) |
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demo.load(None, None, None, _js=""" |
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function openFile(path, spaceId) { |
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const event = new CustomEvent('open-file', { detail: { path, spaceId } }); |
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window.dispatchEvent(event); |
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} |
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""") |
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file_path_input = gr.Textbox(visible=False) |
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space_id_input = gr.Textbox(visible=False) |
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def handle_file_open(file_path, space_id): |
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return file_path, space_id |
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demo.load(handle_file_open, [file_path_input, space_id_input], [file_path_input, space_id_input], _js=""" |
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function(file_path_input, space_id_input) { |
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function handleOpenFile(event) { |
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const { path, spaceId } = event.detail; |
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file_path_input.value = path; |
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space_id_input.value = spaceId; |
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file_path_input.dispatchEvent(new Event('change')); |
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space_id_input.dispatchEvent(new Event('change')); |
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} |
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window.addEventListener('open-file', handleOpenFile); |
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return [file_path_input, space_id_input]; |
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} |
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""") |
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file_path_input.change( |
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open_file, |
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inputs=[file_path_input, space_id_input], |
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outputs=[code_tabs, code_tabs], |
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_js="(path, spaceId) => [path, spaceId]" |
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) |
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return demo |
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except Exception as e: |
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print(f"Error in create_ui: {str(e)}") |
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print(traceback.format_exc()) |
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raise |
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if __name__ == "__main__": |
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try: |
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demo = create_ui() |
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demo.launch() |
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except Exception as e: |
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print(f"Error in main: {str(e)}") |
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print(traceback.format_exc()) |
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