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app.py

@@ -23,22 +23,25 @@ def respond(message, history, user_id):
 with gr.Blocks() as demo:
     with gr.Tabs():
         with gr.Tab("Text OCR Tesseract only"):
-            # Coluna esquerda: OCR
-            with gr.Column(scale=1, min_width=360):
+            with gr.Row():
                 img_in = gr.Image(label="Imagem (png, jpg, jpeg)", type="pil")
                 txt_out = gr.Textbox(label="Texto OCR", lines=12)
-                img_in.change(fn=ocr_tesseract_only, inputs=img_in, outputs=txt_out)
+            img_in.change(fn=ocr_tesseract_only, inputs=img_in, outputs=txt_out)
 
-            # Coluna direita: Chat
-            with gr.Column(scale=1, min_width=360):
-                user_id = gr.State(str(uuid.uuid4()))
-                gr.ChatInterface(
-                    fn=respond,
-                    additional_inputs=[user_id],
-                    type="messages",
-                    title="Chat with AI Agent with Access to Extracted Data",
-                    description="Envie perguntas sobre os dados extraídos.",
-                    save_history=True,
-                    fill_height=True,  # ajuda a ocupar a altura disponível
-                )
+        with gr.Tab("Chat"):
+            user_id = gr.State(str(uuid.uuid4()))
+            gr.ChatInterface(
+                fn=respond,
+                additional_inputs=[user_id],
+                type="messages",
+                title="Chat with AI Agent with Access to Extracted Data",
+                description="Envie perguntas sobre os dados extraídos.",
+                save_history=True,
+                examples=[
+                    "What is the name of the invoice document available?",
+                    "Which document has the ID aZwfUT2Zs?",
+                    "How much is the Auto Previously Billed Premium?",
+                ],
+                cache_examples=True,
+            )
 demo.launch()