Update app.py
Browse files
app.py
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@@ -1,7 +1,6 @@
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import streamlit as st
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import requests
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import pandas as pd
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import pyperclip
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def fetch_data(keyword, location, lang):
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url = f"https://google-keyword-insight1.p.rapidapi.com/keysuggest?keyword={keyword}&location={location}&lang={lang}"
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@@ -24,9 +23,6 @@ def round_to_nearest_five_cents(value):
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def round_trend_to_percentage(value):
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return f'{round(value)} %'
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def convert_df_to_string(df):
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return df.to_string(index=False)
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st.title('B煤squeda de Palabras Clave')
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keyword = st.text_input('Palabra clave:', placeholder='Ingrese la b煤squeda', key='keyword')
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@@ -51,11 +47,18 @@ if st.button('Buscar'):
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df.sort_values(by='Volumen', ascending=False, inplace=True)
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st.table(df)
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# Run the app using the command: streamlit run app.py
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import streamlit as st
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import requests
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import pandas as pd
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def fetch_data(keyword, location, lang):
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url = f"https://google-keyword-insight1.p.rapidapi.com/keysuggest?keyword={keyword}&location={location}&lang={lang}"
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def round_trend_to_percentage(value):
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return f'{round(value)} %'
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st.title('B煤squeda de Palabras Clave')
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keyword = st.text_input('Palabra clave:', placeholder='Ingrese la b煤squeda', key='keyword')
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df.sort_values(by='Volumen', ascending=False, inplace=True)
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st.table(df)
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# Convert DataFrame to CSV
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csv = df.to_csv(index=False)
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st.download_button(
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label="Descargar resultados como CSV",
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data=csv,
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file_name='resultados.csv',
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mime='text/csv',
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)
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st.code(df.to_string(index=False), language='text')
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st.write('Selecciona el texto arriba y c贸pialo manualmente si es necesario.')
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# Run the app using the command: streamlit run app.py
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