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import streamlit as st |
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import requests |
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st.title("Kyrgyz Language Classifier") |
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st.write("This tool identifies whether the given text is Kyrgyz or not.") |
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st.markdown(""" |
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**Instructions:** |
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* Please enter a **sentence** or a few sentences for better accuracy. |
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* **Note:** The word "**Салам**" might be classified as Non-Kyrgyz. This is a known exception. |
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""") |
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user_input = st.text_area("Enter text to classify:", placeholder="Type your sentence here...") |
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api_url = "https://4190-212-112-100-194.ngrok-free.app//classify" |
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if st.button("Classify"): |
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if user_input.strip(): |
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try: |
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response = requests.post(api_url, json={'text': user_input}) |
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response.raise_for_status() |
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result = response.json() |
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if 'error' in result: |
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st.error(f"Error: {result['error']}") |
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else: |
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st.write(f"Prediction: **{result['label']}**") |
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st.write(f"Confidence: **{result['confidence']:.2%}**") |
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except requests.exceptions.RequestException as e: |
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st.error(f"Connection error: {e}") |
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else: |
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st.warning("Please enter some text for classification.") |
