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Update app.py
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app.py
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import gradio as gr
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import openai
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import os
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from openai import OpenAI
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#
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client = OpenAI(api_key=os.getenv("openai"))
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print("Gradio version:", gr.__version__)
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conversation_history = []
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model_name = "gpt-3.5-turbo"
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except Exception as e:
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return f"❌ API Error: {str(e)}"
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# UI
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gr.
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with gr.
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gr.
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gr.
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label="Deine Nachricht",
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fn=
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user_input.submit(
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fn=enhanced_chat_response,
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inputs=[user_input, max_tokens, temperature, top_p],
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outputs=[user_input, bot_response, chat_history]
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)
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reset_btn.click(
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fn=reset_conversation,
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outputs=[bot_response, chat_history]
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)
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api_test_btn.click(
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fn=test_api_connection,
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outputs=[api_status]
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)
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if __name__ == "__main__":
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if not os.getenv("openai"):
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print("❌ FEHLER: openai Umgebungsvariable ist nicht gesetzt!")
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else:
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print("✅ OpenAI API Key gefunden")
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demo.queue().launch()
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import gradio as gr
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import openai
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import os
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from openai import OpenAI
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print("Gradio version:", gr.__version__) # <-- This prints the current version
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client = OpenAI(api_key=os.getenv("openai"))
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conversation_history = []
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model_name = "gpt-3.5-turbo"
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except Exception as e:
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return f"❌ API Error: {str(e)}"
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# Build the UI
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def build_app():
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with gr.Blocks() as demo:
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gr.Markdown("## 🧠 Depression Training Simulator")
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gr.Markdown("**Übe realistische Gespräche mit einem 16-jährigen Teenager mit Depressionen.**")
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("### ⚙️ Einstellungen")
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max_tokens = gr.Slider(50, 500, value=200, step=10, label="Max. Antwortlänge")
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temperature = gr.Slider(0.7, 1.3, value=1.0, step=0.1, label="Kreativität (Temperature)")
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top_p = gr.Slider(0.5, 1.0, value=0.9, step=0.05, label="Top-p (Fokus)")
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gr.Markdown("### 🔧 API Status")
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api_status = gr.Textbox(label="Status", value="")
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api_test_btn = gr.Button("API testen")
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gr.Markdown("### 🔄 Aktionen")
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reset_btn = gr.Button("Neues Gespräch")
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with gr.Column(scale=2):
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gr.Markdown("### 💬 Gespräch")
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user_input = gr.Textbox(label="Deine Nachricht", placeholder="Hallo, wie geht es dir heute?", lines=2)
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send_btn = gr.Button("📨 Senden")
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bot_response = gr.Textbox(label="Antwort", value="", lines=3)
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chat_history = gr.Textbox(label="Gesprächsverlauf", value="", lines=15)
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# Event bindings
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send_btn.click(
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fn=enhanced_chat_response,
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inputs=[user_input, max_tokens, temperature, top_p],
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outputs=[user_input, bot_response, chat_history]
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)
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user_input.submit(
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fn=enhanced_chat_response,
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inputs=[user_input, max_tokens, temperature, top_p],
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outputs=[user_input, bot_response, chat_history]
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)
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reset_btn.click(fn=reset_conversation, outputs=[bot_response, chat_history])
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api_test_btn.click(fn=test_api_connection, outputs=[api_status])
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return demo
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demo = build_app()
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if __name__ == "__main__":
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print("Gradio version:", gr.__version__)
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if not os.getenv("openai"):
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print("❌ FEHLER: openai Umgebungsvariable ist nicht gesetzt!")
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else:
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print("✅ OpenAI API Key gefunden")
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demo.queue().launch()
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