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from flask import Flask, jsonify |
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app = Flask(__name__) |
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@app.route("/") |
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def hello(): |
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return jsonify({"status": "running"}) |
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from flask import Flask, jsonify, request |
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from datasets import load_dataset, Dataset |
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from huggingface_hub import hf_hub_download |
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import requests |
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import pandas as pd |
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import os |
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HF_TOKEN = os.environ.get("HF_TOKEN") |
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REPO_ID = "saraht14/responses" |
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@app.route("/leaderboard", methods=["GET"]) |
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def get_leaderboard(): |
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try: |
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ds = load_dataset(REPO_ID, split="train", token=HF_TOKEN) |
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df = ds.to_pandas() |
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df = df.sort_values(by=["Accuracy", "Execution Time (s)"], ascending=[False, True]) |
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return jsonify(df.to_dict(orient="records")) |
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except Exception as e: |
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df = pd.DataFrame(columns=HEADERS) |
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return jsonify(df.to_dict(orient="records")) |
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HF_CACHE_DIR = "/tmp/hf" |
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@app.route("/file/<path:filename>", methods=["GET"]) |
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def get_file(filename): |
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if request.headers.get("Authorization") != f"Bearer {HF_TOKEN}": |
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return jsonify({"error": "Unauthorized"}), 403 |
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try: |
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local_path = hf_hub_download( |
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repo_id="saraht14/metadata", |
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filename=filename, |
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repo_type="dataset", |
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token=HF_TOKEN, |
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cache_dir=HF_CACHE_DIR |
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) |
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with open(local_path, "r") as f: |
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content = f.read() |
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return jsonify({ |
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"filename": filename, |
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"content": content |
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}) |
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except Exception as e: |
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return jsonify({"error": f"Failed to fetch file: {str(e)}"}), 500 |
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