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import streamlit as st
import pandas as pd
import os
import datetime
import pickle
import inspect
from google_sheet import *
st.title("🏆 Hackathon Leaderboard")
# ========================
# Submission Form
# ========================
uploaded_file = st.file_uploader("Upload your model/class (.pkl)", type=["pkl"])
def is_valid_model(obj):
"""
Check if the object is a class instance with a 'predict' method.
"""
return hasattr(obj, 'get_team') and inspect.ismethod(getattr(obj, 'get_team', None)) or callable(getattr(obj, 'get_team', None))
if uploaded_file and st.button("Submit"):
timestamp = datetime.datetime.now().isoformat()
submission_filename = f"{timestamp.replace(':', '_')}_{uploaded_file.name}"
submission_path = os.path.join("submissions", submission_filename)
os.makedirs("submissions", exist_ok=True)
# Save uploaded file
with open(submission_path, "wb") as f:
f.write(uploaded_file.read())
# Load and evaluate model
try:
with open(submission_path, "rb") as f:
model = pickle.load(f)
if is_valid_model(model):
score = 100 # Example valid score
st.success("Valid model uploaded. ✅")
else:
score = 0
st.error("Uploaded object does not implement a `predict` method. ❌")
except Exception as e:
score = 0
st.error(f"Failed to load or validate pickle file: {e}")
# Append result to leaderboard
append_score(timestamp, score, submission_filename)
st.success(f"Submission received! Score: {score}; Team {team}")
# ========================
# Always Show Leaderboard
# ========================
st.subheader("Leaderboard")
try:
df = fetch_leaderboard()
if not df.empty:
df_sorted = df.sort_values(by="score", ascending=False)
st.dataframe(df_sorted)
else:
st.info("No submissions yet.")
except Exception as e:
st.warning(f"Could not load leaderboard: {e}")
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