app.py

import gradio as gr
import pandas as pd
# from gradio_huggingfacehub_search import HuggingfaceHubSearch
import requests

def update_table(category):
    data_dict = {
        "Overall": {
            "Rank": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26],
            "Model": ["Model A", "Model B", "Model C", "Model D", "Model E", "Model F", "Model G", "Model H", "Model I", "Model J", "Model K", "Model L", "Model M", "Model N", "Model O", "Model P", "Model Q", "Model R", "Model S", "Model T", "Model U", "Model V", "Model W", "Model X", "Model Y", "Model Z"],
            "Votes": [1250, 200, 3150, 4250, 5200, 6150, 7250, 8200, 9150, 10250, 11200, 12150, 13250, 21250, 200, 3150, 4250, 5200, 6150, 7250, 8200, 9150, 10250, 11200, 12150, 13250],
            "Organization": ["Org A", "Org B", "Org C", "Org D", "Org E", "Org F", "Org G", "Org H", "Org I", "Org J", "Org K", "Org L", "Org M", "Org N", "Org O", "Org P", "Org Q", "Model R", "Model S", "Model T", "Model U", "Model V", "Model W", "Model X", "Model Y", "Model Z"],
            "License": ["1MIT", "2Apache 2.0", "3GPL", "4MIT", "5Apache 2.0", "6GPL", "7MIT", "8Apache 2.0", "9GPL", "10MIT", "11Apache 2.0", "12GPL", "13MIT", "1MIT", "2Apache 2.0", "3GPL", "4MIT", "5Apache 2.0", "6GPL", "7MIT", "8Apache 2.0", "9GPL", "10MIT", "11Apache 2.0", "12GPL", "13MIT"]
        },
        "Biology": {
            "Rank": [1, 2],
            "Model": ["GenePredict", "BioSeq"],
            "Votes": [180, 160],
            "Organization": ["BioTech", "Genomics Inc"],
            "License": ["GPL", "MIT"]
        }
    }
    
    data = data_dict.get(category, {"Rank": [], "Model": [], "Votes": [], "Organization": [], "License": []})
    df = pd.DataFrame(data)
    return df


def get_user(profile: gr.OAuthProfile | None) -> str:
    if profile is None:
        return ""
    return profile.username


def submit_vote(username, category, vote):
    if not category or not vote:
        return "All fields are required!"
    if not username:
        return "You need to log in to submit a vote."
    if username.startswith("Hello "):
        username = username[6:]

    url = "https://sdk.nexa4ai.com/task"   # Will have a new endpoint
    data = {
        "category": category,
        "model_id": vote,
        "username": username
    }
    
    print("Submitting vote with payload:", data) 
    response = requests.post(url, json=data)
    
    if response.status_code == 200:
        return f"Vote '{vote}' submitted successfully!"
    else:
        return f"Failed to vote: {response.text}"


def submit_model(category, model_id):
    if not category or not model_id:
        return "All fields are required!"
    
    url = "https://sdk.nexa4ai.com/task"   # Will have a new endpoint
    data = {
        "category": category,
        "model_id": model_id
    }
    
    print("Submitting model with payload:", data) 
    response = requests.post(url, json=data)
    
    if response.status_code == 200:
        return "Your request has been submitted successfully. We will notify you by email once processing is complete."
    else:
        return f"Failed to submit request: {response.text}"


with gr.Blocks() as app:
    with gr.Tabs():
        with gr.TabItem("Table"):
            category = gr.Dropdown(
                choices=["Overall", "Biology", "Physics", "Business", "Chemistry", "Economics", "Philosophy", "History", "Culture", "Computer Science", "Math", "Health", "Law", "Engineering", "Other"],
                label="Select Category",
                value="Overall"
            )
            
            initial_data = update_table("Overall")
            table = gr.Dataframe(
                headers=["Rank", "Model", "Votes", "Organization", "License"],
                datatype=["number", "str", "number", "str", "str"],
                value=initial_data,
                col_count=(5, "fixed"),
            )
            category.change(update_table, inputs=category, outputs=table)
        
        with gr.TabItem("Vote"):
            username_text = gr.State(value="")
            login_button = gr.LoginButton()
            app.load(get_user, inputs=None, outputs=username_text)

            category = gr.Dropdown(
                choices=["Biology", "Physics", "Business", "Chemistry", "Economics", "Philosophy", "History", "Culture", "Computer Science", "Math", "Health", "Law", "Engineering", "Other"], 
                label="Select Category"
            )
            vote = gr.CheckboxGroup(choices=["Option 1", "Option 2", "Option 3"], label="Choose your options")
            submit_button = gr.Button("Submit Vote")
            submit_result = gr.Label()

            submit_button.click(fn=submit_vote, inputs=[username_text, category, vote], outputs=submit_result)

        
        # with gr.TabItem("Submit Model"):
        #     category = gr.Dropdown(choices=["Biology", "Physics", "Business", "Chemistry", "Economics", "Philosophy", "History", "Culture", "Computer Science", "Math", "Health", "Law", "Engineering", "Other"], label="Select Category")
        #     model_id = HuggingfaceHubSearch(label="Hub Model ID", placeholder="Search for model id on Huggingface", search_type="model")
        #     submit_model_button = gr.Button("Submit Model")
        #     submit_model_result = gr.Label()
        #     submit_model_button.click(fn=submit_model, inputs=[category, model_id], outputs=submit_model_result)

app.launch()