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import json
import os
import gzip
import gradio as gr
import requests
import pandas as pd
from typing import Tuple
client_session = requests.Session()
client_session.keep_alive = 5
def search_stories(query: str, page: int) -> Tuple[pd.DataFrame, int]:
"""
Search stories from local API and return results as DataFrame
"""
try:
response = client_session.post(
url=os.environ.get("API_URL", "http://50.18.255.74:8600/search"),
json={"query": query, "page": page},
headers={
"Content-Type": "application/json",
"Accept-Encoding": "gzip",
},
)
response.raise_for_status()
data = response.content
data = json.loads(data)["hits"]
# Convert response data to DataFrame
df = pd.DataFrame(data)
# Reorder columns for better display
columns = ["title", "author", "story_text", "created_at", "points"]
df = df[columns]
return df, page
except requests.RequestException as e:
print(e)
return pd.DataFrame(), page
def next_page(query: str, current_page: int) -> Tuple[pd.DataFrame, int]:
"""
Load next page of results
"""
next_page = current_page + 1
return search_stories(query, next_page)
# Create Gradio interface
with gr.Blocks() as app:
gr.Markdown("# Story Search")
# Input components
with gr.Row():
query_input = gr.Textbox(
label="Search Query", placeholder="Enter search terms..."
)
page_state = gr.State(value=0)
# Search button
search_btn = gr.Button("Search")
# Results display
results_df = gr.DataFrame(label="Search Results", interactive=False, wrap=True)
# Next page button
next_btn = gr.Button("Next Page")
# Handle search button click
search_btn.click(
fn=search_stories,
inputs=[query_input, page_state],
outputs=[results_df, page_state],
)
# Handle next page button click
next_btn.click(
fn=next_page, inputs=[query_input, page_state], outputs=[results_df, page_state]
)
if __name__ == "__main__":
app.launch()
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