name updated

app.py

@@ -205,7 +205,7 @@ with gr.Blocks(
     # ── Header ────────────────────────────────────────────────────────────────
     gr.HTML("""
     <div class="header">
-      <h1>RAG CODEX for Historical Spanish'</h1>
+      <h1>RAG CODEX for Historical Spanish</h1>
       <p>RAG system of Spanish correction from the 16th century</p>
     </div>
     """)
@@ -213,31 +213,31 @@ with gr.Blocks(
     with gr.Tabs():
 
         # ── Pestaña 1: Corrección ─────────────────────────────────────────────
-        with gr.TabItem(" Corrección HTR"):
+        with gr.TabItem(" HTR Correction"):
             with gr.Row():
                 with gr.Column(scale=2):
                     htr_input = gr.Textbox(
-                        label="Texto HTR (entrada del reconocedor)",
-                        placeholder="Pega aquí el texto resultado del HTR…",
+                        label="HTR text (recognizer input)",
+                        placeholder="Paste the HTR result here…",
                         lines=6,
                     )
                     with gr.Row():
                         top_k_slider = gr.Slider(
                             minimum=1, maximum=10, value=5, step=1,
-                            label="Documentos recuperados (k)",
+                            label="Documents retrieved (k)",
                         )
-                        show_prompt = gr.Checkbox(label="Mostrar prompt RAG", value=False)
-                    btn_corregir = gr.Button("✦ Corregir con RAG", variant="primary")
+                        show_prompt = gr.Checkbox(label="Show RAG prompt", value=False)
+                    btn_corregir = gr.Button("✦ Correct with RAG", variant="primary")
 
                     gr.Examples(
                         examples=DEMO_EXAMPLES,
                         inputs=htr_input,
-                        label="Ejemplos de demostración",
+                        label="Demonstration examples",
                     )
 
                 with gr.Column(scale=2):
                     corrected_out = gr.Textbox(
-                        label="Texto corregido (salida RAG)",
+                        label="Corrected text (RAG output)",
                         lines=6,
                         interactive=False,
                     )
@@ -245,12 +245,12 @@ with gr.Blocks(
 
             with gr.Row():
                 with gr.Column():
-                    docs_out = gr.Markdown(label="Documentos recuperados del corpus")
+                    docs_out = gr.Markdown(label="Documents recovered from the corpus")
                 with gr.Column():
-                    analysis_out = gr.Markdown(label="Análisis de patrones")
+                    analysis_out = gr.Markdown(label="Pattern analysis")
 
-            diff_out = gr.Markdown(label="Diferencias palabra a palabra")
-            prompt_out = gr.Markdown(label="Prompt enviado al LLM", visible=False)
+            diff_out = gr.Markdown(label="Word-by-word differences")
+            prompt_out = gr.Markdown(label="Prompt sent to the LLM", visible=False)
 
             btn_corregir.click(
                 fn=corregir,
@@ -259,26 +259,26 @@ with gr.Blocks(
             )
 
         # ── Pestaña 2: Evaluación ─────────────────────────────────────────────
-        with gr.TabItem(" Evaluación con GT"):
-            gr.Markdown("Compara la corrección RAG contra el groundtruth real para medir CER/WER y detectar modernismos.")
+        with gr.TabItem(" Evaluation with GT"):
+            gr.Markdown("Compare the RAG correction against the actual groundtruth to measure CER/WER and detect modernisms.")
             with gr.Row():
-                eval_htr = gr.Textbox(label="Texto HTR", lines=4)
-                eval_gt  = gr.Textbox(label="Groundtruth (referencia)", lines=4)
-            btn_eval = gr.Button("Evaluar", variant="primary")
+                eval_htr = gr.Textbox(label="HTR text", lines=4)
+                eval_gt  = gr.Textbox(label="Groundtruth (reference)", lines=4)
+            btn_eval = gr.Button("Evaluate", variant="primary")
             eval_out = gr.Markdown()
             btn_eval.click(fn=evaluar_par, inputs=[eval_htr, eval_gt], outputs=eval_out)
 
         # ── Pestaña 3: Añadir al corpus ───────────────────────────────────────
-        with gr.TabItem("➕ Añadir al corpus"):
-            gr.Markdown("Añade nuevos pares al vector store para mejorar el RAG de forma continua.")
+        with gr.TabItem("➕ Add to corpus"):
+            gr.Markdown("Add new pairs to the vector store to improve the RAG continuously.")
             with gr.Row():
                 add_htr    = gr.Textbox(label="Texto HTR", lines=4)
                 add_gt     = gr.Textbox(label="Groundtruth corregido", lines=4)
             with gr.Row():
-                add_type   = gr.Textbox(label="Tipo documental", placeholder="notarial / judicial / eclesiastico")
-                add_region = gr.Textbox(label="Región", placeholder="Castilla, Andalucía…")
-                add_date   = gr.Textbox(label="Fecha", placeholder="1542")
-            btn_add  = gr.Button("Añadir al corpus", variant="primary")
+                add_type   = gr.Textbox(label="Document type", placeholder="notarial / judicial / eclesiastico")
+                add_region = gr.Textbox(label="Region", placeholder="Castilla, Andalucía…")
+                add_date   = gr.Textbox(label="Date", placeholder="1542")
+            btn_add  = gr.Button("Add to corpus", variant="primary")
             add_out  = gr.Markdown()
             btn_add.click(
                 fn=add_to_corpus,
@@ -287,9 +287,9 @@ with gr.Blocks(
             )
 
         # ── Pestaña 4: Info del sistema ───────────────────────────────────────
-        with gr.TabItem("ℹ Sistema"):
+        with gr.TabItem("ℹ System"):
             gr.Markdown(f"""
-## Estado del sistema
+## System status
 
 - **Modelo LLM:** {os.getenv('OPENAI_MODEL', 'gpt-4o')}
 - **Vector store:** ChromaDB (persistente en `{os.getenv('CHROMA_PATH','./chroma_db')}`)