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Update app.py
Browse files
app.py
CHANGED
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@@ -32,6 +32,12 @@ except ImportError:
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subprocess.run(["pip", "install", "fake-useragent"], check=True)
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from fake_useragent import UserAgent
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# --- DESCARGA SEGURA DE FOTOS ---
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def descargar_imagen(url, idx):
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if not url or len(url) < 5 or url.startswith("data:"):
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@@ -94,9 +100,9 @@ def extraer_ubicacion(texto):
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for linea in lineas[1:4]:
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if "$" not in linea and not linea.isdigit() and "m²" not in linea:
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return linea[:60]
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return "
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# --- 3. MOTOR DE EXTRACCIÓN ROBUSTO
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def motor_tramitia_visual(operacion, barrio, ciudad, area, m2_min, m2_max, tipo, hab, ban, park, antiguedad, ascensor, piscina):
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resultados = []
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log_visible = ""
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@@ -116,15 +122,13 @@ def motor_tramitia_visual(operacion, barrio, ciudad, area, m2_min, m2_max, tipo,
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log_visible += "🔄 FR: Buscando inmuebles y fotos...\n"
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page.goto(url_fr, wait_until="domcontentloaded", timeout=60000)
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# Espera ACTIVA para que Finca Raíz cargue el código de Javascript
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try: page.wait_for_load_state("networkidle", timeout=10000)
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except: pass
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for _ in range(4):
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page.mouse.wheel(0, 1000)
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page.wait_for_timeout(2000)
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# VOLVIMOS A BUSCAR TODOS LOS ENLACES (ESTO NO FALLA)
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elementos = page.query_selector_all("a")
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cont_fr = 0
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for el in elementos:
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@@ -137,11 +141,9 @@ def motor_tramitia_visual(operacion, barrio, ciudad, area, m2_min, m2_max, tipo,
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href = el.get_attribute("href")
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if not href: continue
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# RADAR DE FOTO: Busca dentro del enlace, o sube al contenedor padre
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img_url = ""
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img_el = el.query_selector("img")
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if not img_el:
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# Busca en el elemento superior (abuelo)
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padre = el.evaluate_handle("el => el.parentElement ? el.parentElement.parentElement : null")
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if padre: img_el = padre.query_selector("img")
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@@ -163,7 +165,7 @@ def motor_tramitia_visual(operacion, barrio, ciudad, area, m2_min, m2_max, tipo,
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cont_fr += 1
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except: continue
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page.close()
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log_visible += f"✅ FR: Encontrados {cont_fr} candidatos
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except Exception as e: log_visible += f"⚠️ Error buscando en FR.\n"
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# --- METROCUADRADO ---
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@@ -209,7 +211,7 @@ def motor_tramitia_visual(operacion, barrio, ciudad, area, m2_min, m2_max, tipo,
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cont_mc += 1
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except: continue
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page.close()
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log_visible += f"✅ MC: Encontrados {cont_mc} candidatos
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except Exception as e: log_visible += f"⚠️ Error buscando en MC.\n"
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browser.close()
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@@ -228,7 +230,7 @@ def motor_tramitia_visual(operacion, barrio, ciudad, area, m2_min, m2_max, tipo,
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log_visible += f"\n✨ PROCESANDO PDF CON {len(df_final)} INMUEBLES..."
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# --- PDF VISUAL ---
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pdf_path = f"Reporte_Visual_{int(time.time())}.pdf"
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pdf = FPDF()
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pdf.add_page()
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@@ -236,7 +238,9 @@ def motor_tramitia_visual(operacion, barrio, ciudad, area, m2_min, m2_max, tipo,
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pdf.set_font("Arial", 'B', 16)
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pdf.set_fill_color(40, 53, 147)
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pdf.set_text_color(255, 255, 255)
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pdf.set_text_color(0, 0, 0)
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pdf.ln(5)
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@@ -260,17 +264,24 @@ def motor_tramitia_visual(operacion, barrio, ciudad, area, m2_min, m2_max, tipo,
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pdf.set_x(text_x)
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pdf.set_font("Arial", 'B', 9)
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pdf.set_text_color(100, 100, 100)
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pdf.set_x(text_x)
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pdf.set_font("Arial", '', 8)
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pdf.set_text_color(0, 0, 0)
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pdf.multi_cell(0, 4,
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pdf.set_x(text_x)
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pdf.set_font("Arial", 'U', 8)
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pdf.set_text_color(0, 102, 204)
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pdf.cell(0, 5, "
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pdf.set_text_color(0, 0, 0)
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y_end = pdf.get_y()
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@@ -305,7 +316,7 @@ def motor_tramitia_visual(operacion, barrio, ciudad, area, m2_min, m2_max, tipo,
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# --- INTERFAZ GRÁFICA ---
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with gr.Blocks() as demo:
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gr.Markdown("## 📸 TramitIA Pro: Generador Visual
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with gr.Row():
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with gr.Column(scale=1):
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subprocess.run(["pip", "install", "fake-useragent"], check=True)
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from fake_useragent import UserAgent
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# --- FILTRO ANTI-EMOJIS PARA EL PDF ---
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def sanear_texto(texto):
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"""Elimina emojis y caracteres especiales que rompen el PDF (latin-1)"""
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if not isinstance(texto, str): return ""
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return texto.encode('latin-1', 'ignore').decode('latin-1')
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# --- DESCARGA SEGURA DE FOTOS ---
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def descargar_imagen(url, idx):
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if not url or len(url) < 5 or url.startswith("data:"):
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for linea in lineas[1:4]:
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if "$" not in linea and not linea.isdigit() and "m²" not in linea:
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return linea[:60]
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return "Ubicacion en zona solicitada"
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# --- 3. MOTOR DE EXTRACCIÓN ROBUSTO ---
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def motor_tramitia_visual(operacion, barrio, ciudad, area, m2_min, m2_max, tipo, hab, ban, park, antiguedad, ascensor, piscina):
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resultados = []
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log_visible = ""
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log_visible += "🔄 FR: Buscando inmuebles y fotos...\n"
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page.goto(url_fr, wait_until="domcontentloaded", timeout=60000)
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try: page.wait_for_load_state("networkidle", timeout=10000)
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except: pass
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for _ in range(4):
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page.mouse.wheel(0, 1000)
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page.wait_for_timeout(2000)
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elementos = page.query_selector_all("a")
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cont_fr = 0
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for el in elementos:
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href = el.get_attribute("href")
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if not href: continue
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img_url = ""
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img_el = el.query_selector("img")
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if not img_el:
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padre = el.evaluate_handle("el => el.parentElement ? el.parentElement.parentElement : null")
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if padre: img_el = padre.query_selector("img")
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cont_fr += 1
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except: continue
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page.close()
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log_visible += f"✅ FR: Encontrados {cont_fr} candidatos.\n"
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except Exception as e: log_visible += f"⚠️ Error buscando en FR.\n"
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# --- METROCUADRADO ---
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cont_mc += 1
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except: continue
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page.close()
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log_visible += f"✅ MC: Encontrados {cont_mc} candidatos.\n"
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except Exception as e: log_visible += f"⚠️ Error buscando en MC.\n"
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browser.close()
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log_visible += f"\n✨ PROCESANDO PDF CON {len(df_final)} INMUEBLES..."
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# --- PDF VISUAL (AHORA SANEADO) ---
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pdf_path = f"Reporte_Visual_{int(time.time())}.pdf"
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pdf = FPDF()
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pdf.add_page()
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pdf.set_font("Arial", 'B', 16)
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pdf.set_fill_color(40, 53, 147)
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pdf.set_text_color(255, 255, 255)
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# Saneamos el encabezado por si acaso
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encabezado = sanear_texto(f" REPORTE INMOBILIARIO: {barrio.upper()} ({operacion.upper()})")
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pdf.cell(0, 15, encabezado, ln=True, fill=True)
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pdf.set_text_color(0, 0, 0)
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pdf.ln(5)
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pdf.set_x(text_x)
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pdf.set_font("Arial", 'B', 9)
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pdf.set_text_color(100, 100, 100)
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# Saneamiento de textos dinámicos
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ubicacion_limpia = sanear_texto(r['Ubicacion'])
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portal_limpio = sanear_texto(r['Portal'])
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desc_limpia = sanear_texto(r['Descripcion'])
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# Textos limpios sin emojis hardcodeados
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pdf.cell(0, 5, f"Ubicacion: {ubicacion_limpia} | Fuente: {portal_limpio}", ln=True)
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pdf.set_x(text_x)
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pdf.set_font("Arial", '', 8)
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pdf.set_text_color(0, 0, 0)
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pdf.multi_cell(0, 4, desc_limpia)
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pdf.set_x(text_x)
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pdf.set_font("Arial", 'U', 8)
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pdf.set_text_color(0, 102, 204)
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pdf.cell(0, 5, ">> Hacer clic aqui para ver publicacion", link=r['URL'], ln=True)
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pdf.set_text_color(0, 0, 0)
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y_end = pdf.get_y()
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# --- INTERFAZ GRÁFICA ---
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with gr.Blocks() as demo:
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gr.Markdown("## 📸 TramitIA Pro: Generador Visual Saneado")
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with gr.Row():
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with gr.Column(scale=1):
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