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Update app.py
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app.py
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@@ -1,31 +1,15 @@
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import streamlit as st
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from sentence_transformers import SentenceTransformer
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from langdetect import detect, DetectorFactory
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st.set_page_config(page_title="Simple Text Analysis", layout="wide")
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@st.cache_resource
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def load_model():
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return SentenceTransformer('distiluse-base-multilingual-cased-v1')
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DetectorFactory.seed = 0
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model = load_model()
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st.title("Simple Text Analysis")
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user_input = st.text_area("Enter your text here:")
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if st.button("Analyze"):
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if user_input:
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embedding = model.encode(user_input)
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st.write(f"Text embedding shape: {embedding.shape}")
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st.write("First few values of the embedding:")
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st.write(embedding[:5])
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except Exception as e:
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st.error(f"An error occurred: {str(e)}")
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else:
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st.warning("Please enter some text to analyze.")
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import streamlit as st
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st.set_page_config(page_title="Simple Text Analysis", layout="wide")
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st.title("Simple Text Analysis")
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user_input = st.text_area("Enter your text here:")
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if st.button("Analyze"):
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if user_input:
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st.write(f"You entered: {user_input}")
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st.write(f"Character count: {len(user_input)}")
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st.write(f"Word count: {len(user_input.split())}")
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else:
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st.warning("Please enter some text to analyze.")
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