Update app.py

app.py

@@ -80,20 +80,41 @@ def demo():
         vector_db = gr.State()
         qa_chain = gr.State()
         gr.Markdown("<center><h1>PDF-Chatbot mit kostenlosen Modellen</h1></center>")
-        document = gr.Files(label="PDF-Dokument hochladen")
-        db_btn = gr.Button("Erstelle Vektordatenbank")
-        llm_btn = gr.Radio(["Flan-T5 Small", "Flan-T5 Base"], label="Verfügbare LLMs", value="Flan-T5 Small", type="index")
-        slider_temperature = gr.Slider(0.01, 1.0, 0.5, label="Temperature")
-        slider_maxtokens = gr.Slider(128, 2048, 512, label="Max Tokens")
-        slider_topk = gr.Slider(1, 10, 3, label="Top-k")
-        qachain_btn = gr.Button("Initialisiere QA-Chatbot")
-        chatbot = gr.Chatbot(label="Chatbot", height=400, type="messages")
-        msg = gr.Textbox(label="Frage stellen")
-        submit_btn = gr.Button("Absenden")
 
-        db_btn.click(initialize_database, inputs=[document], outputs=[vector_db])
-        qachain_btn.click(initialize_LLM, inputs=[llm_btn, slider_temperature, slider_maxtokens, slider_topk, vector_db], outputs=[qa_chain])
-        submit_btn.click(conversation, inputs=[qa_chain, msg, chatbot], outputs=[qa_chain, chatbot, chatbot])
+        with gr.Row():
+            with gr.Column():
+                document = gr.Files(label="PDF-Dokument hochladen")
+                db_btn = gr.Button("Erstelle Vektordatenbank")
+                db_status = gr.Textbox(label="Datenbankstatus", value="Nicht erstellt", interactive=False)
+
+                llm_btn = gr.Radio(["Flan-T5 Small", "Flan-T5 Base"], label="Verfügbare LLMs", value="Flan-T5 Small", type="index")
+                slider_temperature = gr.Slider(0.01, 1.0, 0.5, label="Temperature")
+                slider_maxtokens = gr.Slider(128, 2048, 512, label="Max Tokens")
+                slider_topk = gr.Slider(1, 10, 3, label="Top-k")
+                qachain_btn = gr.Button("Initialisiere QA-Chatbot")
+                llm_status = gr.Textbox(label="Chatbot-Status", value="Nicht initialisiert", interactive=False)
+
+            with gr.Column():
+                chatbot = gr.Chatbot(label="Chatbot", height=400, type="messages")
+                msg = gr.Textbox(label="Frage stellen")
+                submit_btn = gr.Button("Absenden")
+
+        # Event-Handling
+        db_btn.click(
+            initialize_database,
+            inputs=[document],
+            outputs=[vector_db, db_status]
+        )
+        qachain_btn.click(
+            initialize_LLM,
+            inputs=[llm_btn, slider_temperature, slider_maxtokens, slider_topk, vector_db],
+            outputs=[qa_chain, llm_status]
+        )
+        submit_btn.click(
+            conversation,
+            inputs=[qa_chain, msg, chatbot],
+            outputs=[qa_chain, chatbot, chatbot]
+        )
 
     demo.launch(debug=True)