Prediction

corywilkerson/fx-analyze-me:3621f327fb06a68d8c19f5cb277118d1ed406e90024bd7f570b4a6b3b0177779

Model

corywilkerson/fx-analyze-me:3621f327

hmtnzp3rqxrm80cp2vvsqq2vx8

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

0.2s

Created

about 1 month ago

Input

db_url: https://github.com/corywilkerson/data/raw/refs/heads/main/cubs_stats.db
queries: 1. SELECT * FROM data LIMIT 5; 2. SELECT COUNT(*) FROM data; 3. SELECT DISTINCT Player FROM data;

{
  "db_url": "https://github.com/corywilkerson/data/raw/refs/heads/main/cubs_stats.db",
  "queries": "1. SELECT * FROM data LIMIT 5;\n2. SELECT COUNT(*) FROM data;\n3. SELECT DISTINCT Player FROM data;\n"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run corywilkerson/fx-analyze-me using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "corywilkerson/fx-analyze-me:3621f327fb06a68d8c19f5cb277118d1ed406e90024bd7f570b4a6b3b0177779",
  {
    input: {
      db_url: "https://github.com/corywilkerson/data/raw/refs/heads/main/cubs_stats.db",
      queries: "1. SELECT * FROM data LIMIT 5;\n2. SELECT COUNT(*) FROM data;\n3. SELECT DISTINCT Player FROM data;\n"
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run corywilkerson/fx-analyze-me using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "corywilkerson/fx-analyze-me:3621f327fb06a68d8c19f5cb277118d1ed406e90024bd7f570b4a6b3b0177779",
    input={
        "db_url": "https://github.com/corywilkerson/data/raw/refs/heads/main/cubs_stats.db",
        "queries": "1. SELECT * FROM data LIMIT 5;\n2. SELECT COUNT(*) FROM data;\n3. SELECT DISTINCT Player FROM data;\n"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run corywilkerson/fx-analyze-me using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "corywilkerson/fx-analyze-me:3621f327fb06a68d8c19f5cb277118d1ed406e90024bd7f570b4a6b3b0177779",
    "input": {
      "db_url": "https://github.com/corywilkerson/data/raw/refs/heads/main/cubs_stats.db",
      "queries": "1. SELECT * FROM data LIMIT 5;\\n2. SELECT COUNT(*) FROM data;\\n3. SELECT DISTINCT Player FROM data;\\n"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Query 1 Results: Player Position Year Games At_Bats Hits Home_Runs RBIs Batting_Average 0 Ernie Banks SS/1B 1959 155 589 179 45 143 0.304 1 Ron Santo 3B 1969 160 576 179 29 123 0.311 2 Billy Williams LF 1970 161 624 205 42 129 0.329 3 Fergie Jenkins SP 1971 39 124 25 6 20 0.202 4 Greg Maddux SP 1992 35 89 15 1 7 0.169 Query 2 Results: COUNT(*) 0 10 Query 3 Results: Player 0 Ernie Banks 1 Ron Santo 2 Billy Williams 3 Fergie Jenkins 4 Greg Maddux 5 Sammy Sosa 6 Kris Bryant 7 Javier Baez 8 Kyle Hendricks 9 Anthony Rizzo

Generated in

0.2 seconds

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