From 8b60704666a11bbbf1b5e8071a15bc97022fbacf Mon Sep 17 00:00:00 2001
From: parkervg <parkervg5@gmail.com>
Date: Thu, 20 Jun 2024 22:40:16 -0400
Subject: [PATCH] Remove run_debug from git

---
 run_debug.py | 75 ----------------------------------------------------
 1 file changed, 75 deletions(-)
 delete mode 100644 run_debug.py

diff --git a/run_debug.py b/run_debug.py
deleted file mode 100644
index 33f9b1fd..00000000
--- a/run_debug.py
+++ /dev/null
@@ -1,75 +0,0 @@
-from blendsql import blend, LLMMap, VQA
-from blendsql.db import SQLite
-from blendsql.models import TransformersLLM, VQAModel
-import pandas as pd
-import sqlite3
-import re
-import pandas as pd
-from PIL import Image
-import io
-import os
-import ast
-
-TEST_QUERIES = [
-    """
-       SELECT {{VQA('What is in this image?', 'parks::Image')}} FROM parks
-       WHERE "Location" = "Alaska"
-    """,
-    """
-    SELECT {{VQA('What is in this image?', 'parks::Image')}} FROM parks
-    WHERE "Location" = 'Alaska'
-    ORDER BY {{
-        LLMMap(
-            'Size in km2?',
-            'parks::Area'
-        )
-    }} LIMIT 2
-    """,
-]
-
-
-def extract_path(md_link):
-    return re.findall(r"\((.*?)\)", md_link)[0]
-
-
-def to_bytes(path):
-    try:
-        # Open image and convert to bytes
-        with Image.open(path, "r") as img:
-            byte_arr = io.BytesIO()
-            img.save(
-                byte_arr, format="jpeg"
-            )  # adjust format if your images are not JPEGs
-            return byte_arr.getvalue()
-    except Exception as e:
-        print(f"Error: {e}")
-        return None
-
-
-def str_to_bytes(byte_string):
-    byte_list = ast.literal_eval(byte_string)
-    return bytes(byte_list)
-
-
-if __name__ == "__main__":
-    if not os.path.exists("example.db"):
-        df = pd.read_csv("docs/img/national_parks_example/parks.csv")
-        df["Image"] = df["Image"].apply(extract_path).apply(to_bytes)
-        df["Image"] = df["Image"].apply(str_to_bytes)
-        df["Location"] = df["Location"].apply(lambda x: x.strip())
-
-        conn = sqlite3.connect("example.db")
-        df.to_sql("parks", conn, if_exists="replace")
-
-    db = SQLite("example.db")
-    q = TEST_QUERIES[1]
-    model = VQAModel("bczhou/tiny-llava-v1-hf")
-    # Make our smoothie - the executed BlendSQL script
-    smoothie = blend(
-        query=q,
-        db=db,
-        blender=TransformersLLM("microsoft/Phi-3-mini-4k-instruct", caching=True),
-        verbose=False,
-        ingredients={LLMMap, VQA.from_args(model=model)},
-    )
-    print(smoothie.df)