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import streamlit as st
import pandas as pd
from transformers import pipeline
# Load the zero-shot classification model
classifier = pipeline("zero-shot-classification",
model="facebook/bart-large-mnli")
# Sample dataset (replace this with your actual dataset)
df = pd.read_csv('/content/Dataset-finder/datasets.csv')
def tag_finder(user_input):
keywords = df['Keyword'].unique()
result = classifier(user_input, keywords)
threshold = result['scores'][0]
for score in result['scores']:
if score == threshold:
continue
if (threshold - score) >= threshold / 10:
threshold = score
else:
break
useful_tags = [result['labels'][idx] for idx, score in enumerate(result['scores']) if score >= threshold]
relevant_datasets = []
for tag in useful_tags:
relevant_datasets.extend(df[df['Keyword'] == tag]['Datasets'].tolist())
return useful_tags, relevant_datasets
# Define the Streamlit app
def main():
# Set title and description
st.title("Dataset Tagging System")
st.write("Enter your text below and get relevant tags for your dataset.")
# Get user input
user_input = st.text_input("Enter your text:")
if st.button("Submit"):
# Find relevant tags and datasets
relevant_tags, relevant_datasets = tag_finder(user_input)
# Display relevant tags
if relevant_tags:
st.subheader("Datasets:")
for dataset in relevant_datasets:
tag = df[df['Datasets'] == dataset]['Keyword'].iloc[0]
st.markdown(f'''
<div style="border: 2px solid #555; border-radius: 10px; padding: 10px; margin-bottom: 10px; background-color: #333; color: white; display: flex; justify-content: space-between; align-items: center;">
<div>{dataset}</div>
<div style="padding: 5px 10px; border: #fff 2px solid; border-radius: 5px;transition: background-color 0.3s;"><a href="https://datasetsearch.research.google.com/search?search&src=0&query={dataset}" style = "text-decoration: none; color: white;">link</a></div>
<div style="border: 1px solid #666; padding: 5px; background-color: #444; border-radius: 12px;">
<img width="20" height="20" style="margin: 5px;" src="https://img.icons8.com/ios/50/ffffff/price-tag--v2.png" alt="price-tag--v2"/>{tag}
</div>
</div>
''', unsafe_allow_html=True)
else:
st.warning("No relevant tags found.")
# Run the app
if __name__ == "__main__":
main()
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