Init

.gitignore

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+.env
+.dist
+.ipynb_checkpoints
+__pycache__

app.py

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+import json
+import time
+import os
+from datetime import datetime
+
+import gradio as gr
+import requests
+
+url = os.environ.get('URL')
+
+def process_and_render(prompt, name, type, gender, nationality, min_age, max_age, major, interest):
+    payload = {
+        "prompt": prompt,
+        "name": name,
+        "type": type,
+        "gender": gender,
+        "nationality": nationality,
+        "min_age": min_age,
+        "max_age": max_age,
+        "major": major,
+        "interest": interest
+    }
+    response = requests.post(url, json=payload)
+    
+    if response.status_code == 200:
+        print("Success!")
+        # print(response.json())  
+        return response.json()['data']
+    else:
+        print(f"Failed with status code: {response.status_code}")
+        print(response.text)  
+        return response.text
+    
+
+with gr.Blocks() as demo:
+    gr.Markdown("# SNU Buddy Spring 2024 Search Engine")
+    
+    prompt = gr.Textbox(label="Enter your prompt", placeholder="Who is the most out going?")
+
+    with gr.Row():
+        name = gr.Textbox(label="Name")
+        type = gr.CheckboxGroup(label="Student Type", choices=["SNU", "Exchange"])
+        gender = gr.CheckboxGroup(label="Gender", choices=["Male", "Female"])
+    with gr.Row():
+        min_age = gr.Number(label="Minimum Age", value=0)  
+        max_age = gr.Number(label="Maximum Age", value=100)
+    with gr.Row():
+        nationality = gr.CheckboxGroup(label="Nationality", choices=["South Korea", "United States of America", "Australia", "Canada", "France", "Germany", "New Zealand", "Norway", "Singapore", "Sweden", "Switzerland", "United Kingdom"])
+        major = gr.CheckboxGroup(label="Major", choices=["Art", "Business", "Bio", "Computer Science", "Economics", "Engineering", "History", "Korea", "Math", "Medicine"])
+        interest = gr.Textbox(label="Interest & Hobbies (Query multiple interests with a comma (,) separator)", placeholder="sports, music, movie")
+    
+    submit = gr.Button("Search")
+    
+    html_output = gr.HTML()  # Output as HTML 
+
+    submit.click(process_and_render, inputs=[prompt, name, type, gender, nationality, min_age, max_age, major, interest], outputs=[html_output])
+
+# This line is key for generating a public URL  
+demo.launch() 

requirements.txt

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+gradio
+scipy
+requests