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import http.client as http_client | |
import json | |
import logging | |
import os | |
import re | |
import string | |
import gradio as gr | |
import requests | |
def mark_tokens_bold(string, tokens): | |
for token in tokens: | |
pattern = re.escape(token) #r"\b" + re.escape(token) + r"\b" | |
string = re.sub(pattern, "<span style='color: #ff75b3;'><b>" + token + "</b></span>", string) | |
return string | |
def process_results(results, highlight_terms): | |
if len(results) == 0: | |
return """<br><p>No results retrieved.</p><br><hr>""" | |
results_html = "" | |
for result in results: | |
text_html = result["text"] | |
text_html = mark_tokens_bold(text_html, highlight_terms) | |
docid_html = str(result["docid"]) | |
licenses = " | ".join(result["repo_license"]) | |
repo_name = result["repo_name"] | |
repo_path = result["repo_path"] | |
results_html += """\ | |
<p style='font-size:16px; text-align: left; color: white;'>Repository name: <span style='color: #727cd6;'>{}</span></p> | |
<p style='font-size:16px; text-align: left; color: white;'>Repository path: <span style='color: #727cd6;'>{}</span></p> | |
<p style='font-size:16px; text-align: left; color: white;'>Repository licenses: <span style='color: #727cd6;'>{}</span></p> | |
<br> | |
<pre style='height: 600px; overflow-y: scroll; overflow-x: hidden; color: #d9d9d9;border: 1px solid #ff75b3; padding: 10px'><code>{}</code></pre> | |
<br> | |
<hr> | |
<br> | |
""".format(repo_name, repo_path, licenses, text_html) | |
return results_html | |
def scisearch(query, language, num_results=10): | |
query = " ".join(query.split()) | |
if query == "" or query is None: | |
return "" | |
post_data = {"query": query, "k": num_results} | |
output = requests.post( | |
os.environ.get("address"), | |
headers={"Content-type": "application/json"}, | |
data=json.dumps(post_data), | |
timeout=60, | |
) | |
payload = json.loads(output.text) | |
results = payload["results"] | |
highlight_terms = payload["highlight_terms"] | |
return process_results(results, highlight_terms) | |
description = """# <p style="text-align: center; color: white;"><span style='color: #ff75b3;'>π SantaCoder:</span> Dataset Search π </p> | |
<span style='color: white;'>When you use <a href="todo" style="color: #ff75b3;">IceCoder</a> to generate code it might produce exact copies of code in the pretraining dataset. In that case the code requires | |
and with this search tool we aim to provide help to finding out where the code came from.</span>""" | |
if __name__ == "__main__": | |
demo = gr.Blocks( | |
css=".gradio-container {background-color: #20233fff; color:white}" | |
) | |
with demo: | |
with gr.Row(): | |
gr.Markdown(value=description) | |
with gr.Row(): | |
query = gr.Textbox(lines=5, placeholder="Type your query here...", label="Query") | |
with gr.Row(): | |
k = gr.Slider(1, 100, value=10, step=1, label="Max Results") | |
with gr.Row(): | |
submit_btn = gr.Button("Submit") | |
with gr.Row(): | |
results = gr.HTML(label="Results", value="<img src='https://huggingface.co/datasets/bigcode/admin/resolve/main/bigcode_contact.png' alt='contact' style='display: block; margin: auto; max-width: 800px;'>") | |
def submit(query, k, lang="en"): | |
query = query.strip() | |
if query is None or query == "": | |
return "", "" | |
return { | |
results: scisearch(query, lang, k), | |
} | |
query.submit(fn=submit, inputs=[query, k], outputs=[results]) | |
submit_btn.click(submit, inputs=[query, k], outputs=[results]) | |
demo.launch(enable_queue=True, debug=True) | |