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import gradio as gr
import pandas as pd
# Load the DataFrame
url = "TExam_new.csv"
df = pd.read_csv(url, encoding='utf-8-sig')
# Function to search years based on the selected mode
def search_years(search_by_year, search_by_keywords, query):
if search_by_year and not search_by_keywords:
# Search by matching the first four characters of the 'YEAR' column
matches = df[df['YEAR'].str.startswith(query[:4])]
if matches.empty:
return "No results found for your query."
return ", ".join(matches['YEAR'].tolist()) # Return a string of matched years
elif search_by_keywords and not search_by_year:
# Original keyword search logic
keyword_list = [keyword.strip() for keyword in query.split(',')]
matches = df[df['KEYWORDS'].apply(lambda x: any(keyword in x for keyword in keyword_list))]
if matches.empty:
return "No results found for your query."
return ", ".join(matches['YEAR'].tolist()) # Return a string of matched years
else:
return "Please select exactly one search mode."
# Modified function to return keywords above the HTML image tag
# ...
def get_image_html(year):
match = df[df['YEAR'] == year]
if not match.empty:
# Assuming 'LINK' column has the partial path like '2006_1.PNG'
image_filename = match.iloc[0]['Filename']
# Construct the full URL by appending the filename to the base path
image_url = f'https://huggingface.co/spaces/MK-316/TCE/blob/main/TExams/{image_filename}'
keywords = match.iloc[0]['KEYWORDS']
# Place keywords above the image
return f"<b>🌷 Keywords:</b> 🔑 {keywords}<br><img src='{image_url}' width='800'/>"
else:
return "No keywords found for this year.", "No image found for this year."
# ...
# Create Gradio Blocks interface
with gr.Blocks() as app:
gr.Markdown("# Teacher Certificate Exam Searching Engine")
gr.Markdown("## ❄️ [1] Search Data")
# Row for checkboxes
with gr.Row():
search_by_year = gr.Checkbox(label="Search by YEAR", value=False)
search_by_keywords = gr.Checkbox(label="Search Years by Keywords", value=False)
# Row for search query, button and output
with gr.Row():
search_input = gr.Textbox(label="Search Query: e.g., 2024 (by YEAR) or tapping (by Keywords)",
placeholder="Enter year or keywords separated by commas")
search_button = gr.Button("Click to Search")
search_output = gr.Text(label="Results (file names)")
# Define actions
search_button.click(fn=search_years, inputs=[search_by_year, search_by_keywords, search_input], outputs=search_output)
gr.Markdown("## ❄️ [2] Display a Specific Exam Question Requested")
with gr.Row():
year_input = gr.Textbox(label="Type a file name among the result items: e.g., Year_item_part(a,b)", placeholder="Enter Year like '2024_01'")
submit_button = gr.Button("Show me the exam question") # Updated button text
image_output = gr.HTML()
# Define action for the submit button
submit_button.click(fn=get_image_html, inputs=year_input, outputs=image_output) # Use the button to trigger the display function
# Launch the app with sharing options
app.launch(debug=True)
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