Update app.py
Browse files
app.py
CHANGED
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@@ -3,6 +3,12 @@ import requests
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import urllib.parse
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import re
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import xmltodict
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# Función para obtener sugerencias de DuckDuckGo
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def fetch_duckduckgo_suggestions(query, lang_code="es"):
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@@ -12,7 +18,7 @@ def fetch_duckduckgo_suggestions(query, lang_code="es"):
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if response.status_code == 200:
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try:
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data = response.json()
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return [item['phrase'] for item in data]
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except ValueError:
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print("Error decodificando JSON de DuckDuckGo")
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return []
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@@ -26,7 +32,7 @@ def fetch_google_suggestions(query, lang_code="es"):
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response = requests.get(url)
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if response.status_code == 200:
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try:
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return response.json()[1]
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except ValueError:
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print("Error decodificando JSON de Google")
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return []
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@@ -38,16 +44,12 @@ def fetch_youtube_suggestions(query, lang_code="es"):
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encoded_query = urllib.parse.quote(query)
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url = f"http://suggestqueries.google.com/complete/search?client=youtube&hl={lang_code}&q={encoded_query}"
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response = requests.get(url)
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if response.status_code == 200:
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try:
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# Extraer las sugerencias del formato window.google.ac.h(["..."])
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match = re.search(r'window\.google\.ac\.h\(\["[^"]*",\[(.*?)\],', response.text)
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if match:
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suggestions_data = match.group(1)
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suggestions = re.findall(r'\["([^"]+)"', suggestions_data)
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return suggestions
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else:
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print("No se encontraron sugerencias en el formato esperado.")
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return []
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@@ -60,27 +62,17 @@ def fetch_youtube_suggestions(query, lang_code="es"):
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# Función para obtener sugerencias de Bing
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def fetch_bing_suggestions(query, market="en-US"):
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url = "https://api.bing.com/qsml.aspx"
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params = {
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"query": query
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}
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headers = {
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"User-agent": "Mozilla/5.0"
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}
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response = requests.get(url, params=params, headers=headers)
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if response.status_code == 200:
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try:
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obj = xmltodict.parse(response.content)
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if
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suggestList.append(s['Text'])
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elif isinstance(suggestions, dict):
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suggestList.append(suggestions['Text'])
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return suggestList
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except Exception as e:
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print(f"Error procesando la respuesta de Bing: {e}")
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return []
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@@ -90,67 +82,27 @@ def fetch_bing_suggestions(query, market="en-US"):
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# Función para obtener sugerencias de Amazon
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def fetch_amazon_suggestions(query, market_id="ATVPDKIKX0DER", alias="aps"):
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url = "https://completion.amazon.com/api/2017/suggestions"
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params = {
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"mid": market_id,
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"alias": alias,
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"prefix": query
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}
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response = requests.get(url, params=params)
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if response.status_code == 200:
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try:
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data = response.json()
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return [item['value'] for item in data.get('suggestions', [])]
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except ValueError:
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print("Error decodificando JSON de Amazon")
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return []
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else:
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return []
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#
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# Conjunciones y preposiciones
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"y", "o", "de", "por", "para", "con", "sin", "a", "en",
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"sobre", "desde", "hacia", "hasta", "entre", "contra",
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"bajo", "según", "durante", "ante", "tras", "mediante",
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# Términos comunes en comparativas y compras
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"vs", "review", "opiniones", "opinion", "caracteristicas",
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"amazon", "comparativa", "precio", "comprar", "mejor",
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"especificaciones", "barato", "oferta", "descuento",
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"envio", "gratis", "analisis", "producto", "gama",
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"guía", "pros", "contras", "calidad", "rendimiento",
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"valoracion", "reseña", "nuevo", "usado", "rebaja",
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"disponible", "más", "menos", "mejor", "peor", "versus",
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"tamaño", "peso", "marca", "modelo", "compatible", "accesorios",
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# Otros términos relevantes
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"novedades",
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"actualización", "diferencias", "similitudes", "competencia",
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"comparar", "top", "ranking", "valor", "rendimiento",
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"durabilidad", "material", "acabado", "resistente"
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]
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# Función para expandir la palabra clave añadiendo stopwords, artículos y conjunciones
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def expand_keyword(keyword):
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expanded_keywords = [keyword]
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for letter in 'abcdefghijklmnopqrstuvwxyz*_':
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expanded_keywords.append(keyword + " " + letter)
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expanded_keywords.append(letter + " " + keyword)
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# Añadir combinaciones con stopwords, artículos y conjunciones
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for stopword in stopwords:
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expanded_keywords.append(f"{stopword} {keyword}")
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expanded_keywords.append(f"{keyword} {stopword}")
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return expanded_keywords
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# Función principal actualizada
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def main(keyword):
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expanded_keywords = expand_keyword(keyword)
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all_suggestions =
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google_suggestions_all = []
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duckduckgo_suggestions_all = []
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youtube_suggestions_all = []
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# Obtener sugerencias de DuckDuckGo
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for exp_keyword in expanded_keywords:
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suggestions = fetch_duckduckgo_suggestions(exp_keyword)
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duckduckgo_suggestions_all.extend(suggestions)
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if suggestion in all_suggestions:
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all_suggestions[suggestion] += 1
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else:
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all_suggestions[suggestion] = 1
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# Obtener sugerencias de Google
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for exp_keyword in expanded_keywords:
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suggestions = fetch_google_suggestions(exp_keyword)
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google_suggestions_all.extend(suggestions)
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if suggestion in all_suggestions:
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all_suggestions[suggestion] += 1
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else:
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all_suggestions[suggestion] = 1
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# Obtener sugerencias de YouTube
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for exp_keyword in expanded_keywords:
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suggestions = fetch_youtube_suggestions(exp_keyword)
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youtube_suggestions_all.extend(suggestions)
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if suggestion in all_suggestions:
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all_suggestions[suggestion] += 1
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else:
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all_suggestions[suggestion] = 1
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# Obtener sugerencias de Bing
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for exp_keyword in expanded_keywords:
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suggestions = fetch_bing_suggestions(exp_keyword)
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bing_suggestions_all.extend(suggestions)
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if suggestion in all_suggestions:
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all_suggestions[suggestion] += 1
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else:
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all_suggestions[suggestion] = 1
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# Obtener sugerencias de Amazon
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for exp_keyword in expanded_keywords:
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suggestions = fetch_amazon_suggestions(exp_keyword)
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amazon_suggestions_all.extend(suggestions)
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# Ordenar y filtrar las sugerencias más frecuentes combinadas
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sorted_suggestions = sorted(all_suggestions.items(), key=lambda item: item[1], reverse=True)
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combined_top_10_suggestions = [sug for sug, freq in sorted_suggestions if freq >= 2][:10]
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suggestions_str = ", ".join(combined_top_10_suggestions)
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# Crear la lista de todas las palabras clave con su número de repeticiones
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all_suggestions_str = "<ul>"
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for suggestion, freq in sorted_suggestions:
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all_suggestions_str += f"<li>{suggestion} - {freq} repeticiones</li>"
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all_suggestions_str += "</ul>"
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# Crear el HTML de salida con un botón de copia, pero mostrando solo el Top 3
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html_output = f"""
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<div>
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<b>Sugerencias combinadas de Google, DuckDuckGo, YouTube, Bing y Amazon (Top 10 combinadas):</b> <span id='suggestions_text'>{suggestions_str}</span>
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<button class="lg secondary svelte-cmf5ev" style="font-size: small; padding: 2px; color: #808080ba; border: none; margin-left: 5px;"
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onclick='navigator.clipboard.writeText(document.getElementById("suggestions_text").innerText).then(() => alert("Texto copiado al portapapeles"))'> ✂ </button>
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</div>
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<h4>Top 3 Sugerencias de Google:</h4>
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<ul>
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"""
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for suggestion in google_top_3:
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freq = all_suggestions[suggestion]
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html_output += f"<li>{suggestion} ({freq})</li>"
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html_output += "</ul>"
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html_output += """
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<h4>Top 3 Sugerencias de DuckDuckGo:</h4>
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<ul>
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"""
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for suggestion in duckduckgo_top_3:
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freq = all_suggestions[suggestion]
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html_output += f"<li>{suggestion} ({freq})</li>"
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html_output += "</ul>"
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html_output += """
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<h4>Top 3 Sugerencias de YouTube:</h4>
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<ul>
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"""
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for suggestion in youtube_top_3:
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freq = all_suggestions[suggestion]
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html_output += f"<li>{suggestion} ({freq})</li>"
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html_output += "</ul>"
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html_output += """
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<h4>Top 3 Sugerencias de Bing:</h4>
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<ul>
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"""
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for suggestion in bing_top_3:
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freq = all_suggestions[suggestion]
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html_output += f"<li>{suggestion} ({freq})</li>"
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html_output += "</ul>"
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html_output += """
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<h4>Top 3 Sugerencias de Amazon:</h4>
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<ul>
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"""
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for suggestion in amazon_top_3:
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freq = all_suggestions[suggestion]
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html_output += f"<li>{suggestion} ({freq})</li>"
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html_output += "</ul>"
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# Agregar la lista completa de todas las palabras clave
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html_output += """
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<h4>Lista completa de palabras clave con su número de repeticiones:</h4>
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"""
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html_output += all_suggestions_str
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return html_output
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# Interfaz de Gradio
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fn=main,
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inputs="text",
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outputs="html",
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title="
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description="
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article="<
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)
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iface.launch()
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import urllib.parse
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import re
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import xmltodict
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from collections import Counter
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import unicodedata
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# Función para normalizar palabras clave (elimina tildes y convierte a minúsculas)
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def normalize_keyword(keyword):
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return ''.join(c for c in unicodedata.normalize('NFD', keyword.lower()) if unicodedata.category(c) != 'Mn')
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# Función para obtener sugerencias de DuckDuckGo
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def fetch_duckduckgo_suggestions(query, lang_code="es"):
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if response.status_code == 200:
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try:
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data = response.json()
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return [normalize_keyword(item['phrase']) for item in data]
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except ValueError:
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print("Error decodificando JSON de DuckDuckGo")
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return []
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response = requests.get(url)
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if response.status_code == 200:
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try:
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return [normalize_keyword(suggestion) for suggestion in response.json()[1]]
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except ValueError:
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print("Error decodificando JSON de Google")
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return []
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encoded_query = urllib.parse.quote(query)
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url = f"http://suggestqueries.google.com/complete/search?client=youtube&hl={lang_code}&q={encoded_query}"
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response = requests.get(url)
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if response.status_code == 200:
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try:
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match = re.search(r'window\.google\.ac\.h\(\["[^"]*",\[(.*?)\],', response.text)
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if match:
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suggestions_data = match.group(1)
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return [normalize_keyword(suggestion) for suggestion in re.findall(r'\["([^"]+)"', suggestions_data)]
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else:
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print("No se encontraron sugerencias en el formato esperado.")
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return []
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# Función para obtener sugerencias de Bing
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def fetch_bing_suggestions(query, market="en-US"):
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url = "https://api.bing.com/qsml.aspx"
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params = {"Market": market, "query": query}
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headers = {"User-agent": "Mozilla/5.0"}
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response = requests.get(url, params=params, headers=headers)
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if response.status_code == 200:
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try:
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obj = xmltodict.parse(response.content)
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suggestions = obj['SearchSuggestion']['Section']['Item']
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if isinstance(suggestions, list):
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return [normalize_keyword(s['Text']) for s in suggestions]
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elif isinstance(suggestions, dict):
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return [normalize_keyword(suggestions['Text'])]
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except Exception as e:
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print(f"Error procesando la respuesta de Bing: {e}")
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return []
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# Función para obtener sugerencias de Amazon
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def fetch_amazon_suggestions(query, market_id="ATVPDKIKX0DER", alias="aps"):
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url = "https://completion.amazon.com/api/2017/suggestions"
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params = {"mid": market_id, "alias": alias, "prefix": query}
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response = requests.get(url, params=params)
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if response.status_code == 200:
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try:
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data = response.json()
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return [normalize_keyword(item['value']) for item in data.get('suggestions', [])]
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except ValueError:
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print("Error decodificando JSON de Amazon")
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return []
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else:
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return []
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# Función para contar y obtener las top N sugerencias más repetidas
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def get_top_suggestions(suggestions, top_n=3):
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suggestion_counter = Counter(suggestions)
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return suggestion_counter.most_common(top_n)
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# Función principal actualizada
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def main(keyword):
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expanded_keywords = expand_keyword(keyword)
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all_suggestions = []
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google_suggestions_all = []
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duckduckgo_suggestions_all = []
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youtube_suggestions_all = []
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# Obtener sugerencias de DuckDuckGo
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for exp_keyword in expanded_keywords:
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suggestions = fetch_duckduckgo_suggestions(exp_keyword)
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duckduckgo_suggestions_all.extend(suggestions)
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all_suggestions.extend(suggestions)
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| 118 |
# Obtener sugerencias de Google
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for exp_keyword in expanded_keywords:
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suggestions = fetch_google_suggestions(exp_keyword)
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+
google_suggestions_all.extend(suggestions)
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+
all_suggestions.extend(suggestions)
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| 124 |
# Obtener sugerencias de YouTube
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for exp_keyword in expanded_keywords:
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| 126 |
suggestions = fetch_youtube_suggestions(exp_keyword)
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+
youtube_suggestions_all.extend(suggestions)
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+
all_suggestions.extend(suggestions)
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| 130 |
# Obtener sugerencias de Bing
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for exp_keyword in expanded_keywords:
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| 132 |
suggestions = fetch_bing_suggestions(exp_keyword)
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| 133 |
bing_suggestions_all.extend(suggestions)
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+
all_suggestions.extend(suggestions)
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| 135 |
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| 136 |
# Obtener sugerencias de Amazon
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| 137 |
for exp_keyword in expanded_keywords:
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| 138 |
suggestions = fetch_amazon_suggestions(exp_keyword)
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| 139 |
amazon_suggestions_all.extend(suggestions)
|
| 140 |
+
all_suggestions.extend(suggestions)
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| 141 |
+
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| 142 |
+
# Obtener las top 3 sugerencias de cada plataforma
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| 143 |
+
google_top_3 = get_top_suggestions(google_suggestions_all, top_n=3)
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| 144 |
+
duckduckgo_top_3 = get_top_suggestions(duckduckgo_suggestions_all, top_n=3)
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| 145 |
+
youtube_top_3 = get_top_suggestions(youtube_suggestions_all, top_n=3)
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| 146 |
+
bing_top_3 = get_top_suggestions(bing_suggestions_all, top_n=3)
|
| 147 |
+
amazon_top_3 = get_top_suggestions(amazon_suggestions_all, top_n=3)
|
| 148 |
+
|
| 149 |
+
# Mostrar los resultados
|
| 150 |
+
html_output = "<h4>Top 3 Sugerencias de Google:</h4><ul>"
|
| 151 |
+
for suggestion, freq in google_top_3:
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| 152 |
html_output += f"<li>{suggestion} ({freq})</li>"
|
| 153 |
+
html_output += "</ul><h4>Top 3 Sugerencias de DuckDuckGo:</h4><ul>"
|
| 154 |
+
for suggestion, freq in duckduckgo_top_3:
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|
| 155 |
html_output += f"<li>{suggestion} ({freq})</li>"
|
| 156 |
+
html_output += "</ul><h4>Top 3 Sugerencias de YouTube:</h4><ul>"
|
| 157 |
+
for suggestion, freq in youtube_top_3:
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|
| 158 |
html_output += f"<li>{suggestion} ({freq})</li>"
|
| 159 |
+
html_output += "</ul><h4>Top 3 Sugerencias de Bing:</h4><ul>"
|
| 160 |
+
for suggestion, freq in bing_top_3:
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|
| 161 |
html_output += f"<li>{suggestion} ({freq})</li>"
|
| 162 |
+
html_output += "</ul><h4>Top 3 Sugerencias de Amazon:</h4><ul>"
|
| 163 |
+
for suggestion, freq in amazon_top_3:
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|
| 164 |
html_output += f"<li>{suggestion} ({freq})</li>"
|
| 165 |
html_output += "</ul>"
|
| 166 |
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|
| 167 |
return html_output
|
| 168 |
|
| 169 |
# Interfaz de Gradio
|
|
|
|
| 171 |
fn=main,
|
| 172 |
inputs="text",
|
| 173 |
outputs="html",
|
| 174 |
+
title="Sugerencias Combinadas de Google, DuckDuckGo, YouTube, Bing y Amazon",
|
| 175 |
+
description="Ingrese una palabra clave para obtener sugerencias de búsqueda relacionadas.",
|
| 176 |
+
article="<p>Desarrollada por © Artxe Web</p>"
|
| 177 |
)
|
| 178 |
|
| 179 |
+
iface.launch()
|