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# Copyright Volkan Sah Kücükbudak
# Only for academic research!
import os
# Matplotlib Cache-Konfiguration für Huggingface Spaces
os.environ['MPLCONFIGDIR'] = '/tmp/matplotlib-cache'
os.makedirs(os.environ['MPLCONFIGDIR'], exist_ok=True)
import gradio as gr
import json
from pathlib import Path
from modules.model_handler import AI_MODELS, generate_code
from modules.config_loader import load_config
# Huggingface Spaces-Konfiguration
HF_SPACE = os.getenv('HF_SPACE', False)
TEMP_DIR = Path('/tmp') if HF_SPACE else Path(__file__).parent / 'temp'
TEMP_DIR.mkdir(exist_ok=True)
# UI-Komponenten
def create_interface():
with gr.Blocks(title="KI-Assistent Generator") as demo:
gr.Markdown("# 🚀 KI-Assistent Generator")
with gr.Row():
with gr.Column(scale=2):
task_input = gr.Textbox(label="Aufgabenbeschreibung", placeholder="Beschreibe deinen gewünschten Assistenten...")
api_key = gr.Textbox(label="API-Key", type="password")
language = gr.Dropdown(["python", "php", "javascript"], label="Programmiersprache")
generate_btn = gr.Button("Generieren", variant="primary")
with gr.Column(scale=3):
code_output = gr.Code(label="Generierter Code", language="python", interactive=True)
status = gr.Textbox(label="Status", interactive=False)
generate_btn.click(
generate_code_wrapper,
inputs=[task_input, api_key, language],
outputs=[code_output, status]
)
return demo
# Hilfsfunktion für Code-Generierung
def generate_code_wrapper(task_input, api_key, language):
try:
if not task_input.strip():
return "", "⚠️ Bitte Aufgabenbeschreibung eingeben!"
if not api_key.strip():
return "", "🔑 API-Key wird benötigt!"
generated_code = generate_code(
task_input=task_input,
api_key=api_key,
language=language,
hf_space=HF_SPACE,
temp_dir=str(TEMP_DIR)
)
return generated_code, "✅ Code erfolgreich generiert!"
except Exception as e:
return "", f"❌ Fehler: {str(e)}"
if __name__ == "__main__":
config = load_config()
interface = create_interface()
interface.launch(
server_name="0.0.0.0",
server_port=int(os.getenv('PORT', 7860)),
share=config.get('share', False)
) |