Update app.py

app.py

@@ -1,14 +1,11 @@
-
 import gradio as gr
-import openai
 import os
 from openai import OpenAI
 
-print("Gradio version:", gr.__version__)  # <-- This prints the current version
+print("Gradio version:", gr.__version__)
 
 client = OpenAI(api_key=os.getenv("openai"))
 
-
 conversation_history = []
 model_name = "gpt-3.5-turbo"
 
@@ -70,58 +67,57 @@ def test_api_connection():
     except Exception as e:
         return f"❌ API Error: {str(e)}"
 
-# Build the UI
-def build_app():
-    with gr.Blocks() as demo:
-        gr.Markdown("## 🧠 Depression Training Simulator")
-        gr.Markdown("**Übe realistische Gespräche mit einem 16-jährigen Teenager mit Depressionen.**")
-
-        with gr.Row():
-            with gr.Column(scale=1):
-                gr.Markdown("### ⚙️ Einstellungen")
-                max_tokens = gr.Slider(50, 500, value=200, step=10, label="Max. Antwortlänge")
-                temperature = gr.Slider(0.7, 1.3, value=1.0, step=0.1, label="Kreativität (Temperature)")
-                top_p = gr.Slider(0.5, 1.0, value=0.9, step=0.05, label="Top-p (Fokus)")
-
-                gr.Markdown("### 🔧 API Status")
-                api_status = gr.Textbox(label="Status", value="")
-                api_test_btn = gr.Button("API testen")
-
-                gr.Markdown("### 🔄 Aktionen")
-                reset_btn = gr.Button("Neues Gespräch")
-
-            with gr.Column(scale=2):
-                gr.Markdown("### 💬 Gespräch")
-                user_input = gr.Textbox(label="Deine Nachricht", placeholder="Hallo, wie geht es dir heute?", lines=2)
-                send_btn = gr.Button("📨 Senden")
-
-                bot_response = gr.Textbox(label="Antwort", value="", lines=3)
-                chat_history = gr.Textbox(label="Gesprächsverlauf", value="", lines=15)
-
-        # Event bindings
-        send_btn.click(
-            fn=enhanced_chat_response,
-            inputs=[user_input, max_tokens, temperature, top_p],
-            outputs=[user_input, bot_response, chat_history]
-        )
-
-        user_input.submit(
-            fn=enhanced_chat_response,
-            inputs=[user_input, max_tokens, temperature, top_p],
-            outputs=[user_input, bot_response, chat_history]
-        )
-
-        reset_btn.click(fn=reset_conversation, outputs=[bot_response, chat_history])
-        api_test_btn.click(fn=test_api_connection, outputs=[api_status])
-
-    return demo
-
-demo = build_app()
+with gr.Blocks() as demo:
+    gr.Markdown("## 🧠 Depression Training Simulator")
+    gr.Markdown("**Übe realistische Gespräche mit einem 16-jährigen Teenager mit Depressionen.**")
+
+    with gr.Row():
+        with gr.Column(scale=1):
+            gr.Markdown("### ⚙️ Einstellungen")
+            max_tokens = gr.Slider(50, 500, value=200, step=10, label="Max. Antwortlänge")
+            temperature = gr.Slider(0.7, 1.3, value=1.0, step=0.1, label="Kreativität (Temperature)")
+            top_p = gr.Slider(0.5, 1.0, value=0.9, step=0.05, label="Top-p (Fokus)")
+
+            gr.Markdown("### 🔧 API Status")
+            api_status = gr.Textbox(label="Status", value="")
+            api_test_btn = gr.Button("API testen")
+
+            gr.Markdown("### 🔄 Aktionen")
+            reset_btn = gr.Button("Neues Gespräch")
+
+        with gr.Column(scale=2):
+            gr.Markdown("### 💬 Gespräch")
+            user_input = gr.Textbox(label="Deine Nachricht", placeholder="Hallo, wie geht es dir heute?", lines=2)
+            send_btn = gr.Button("📨 Senden")
+
+            bot_response = gr.Textbox(label="Antwort", value="", lines=3)
+            chat_history = gr.Textbox(label="Gesprächsverlauf", value="", lines=15)
+
+    send_btn.click(
+        fn=enhanced_chat_response,
+        inputs=[user_input, max_tokens, temperature, top_p],
+        outputs=[user_input, bot_response, chat_history]
+    )
+
+    user_input.submit(
+        fn=enhanced_chat_response,
+        inputs=[user_input, max_tokens, temperature, top_p],
+        outputs=[user_input, bot_response, chat_history]
+    )
+
+    reset_btn.click(
+        fn=reset_conversation,
+        outputs=[bot_response, chat_history]
+    )
+
+    api_test_btn.click(
+        fn=test_api_connection,
+        outputs=[api_status]
+    )
 
 if __name__ == "__main__":
-    print("Gradio version:", gr.__version__)
     if not os.getenv("openai"):
         print("❌ FEHLER: openai Umgebungsvariable ist nicht gesetzt!")
     else:
         print("✅ OpenAI API Key gefunden")
-        demo.queue().launch()
+        demo.launch(share=False)