simone-papicchio commited on
Commit
205d5cc
·
1 Parent(s): a394efd

fix path in app.py

Browse files
.gitignore CHANGED
@@ -1,5 +1,7 @@
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  __pycache__
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  # Byte-compiled / optimized / DLL files
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  logs/
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  __pycache__
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+ ._*
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+
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  # Byte-compiled / optimized / DLL files
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  logs/
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app.py CHANGED
@@ -1,6 +1,9 @@
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  import gradio as gr
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  import pandas as pd
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  import os
 
 
 
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  # # https://discuss.huggingface.co/t/issues-with-sadtalker-zerogpu-spaces-inquiry-about-community-grant/110625/10
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  # if os.environ.get("SPACES_ZERO_GPU") is not None:
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  # import spaces
@@ -16,20 +19,18 @@ from qatch.connectors.sqlite_connector import SqliteConnector
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  from qatch.generate_dataset.orchestrator_generator import OrchestratorGenerator
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  from qatch.evaluate_dataset.orchestrator_evaluator import OrchestratorEvaluator
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  from prediction import ModelPrediction
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- import utils_get_db_tables_info
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  import utilities as us
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- import time
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  import plotly.express as px
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  import plotly.graph_objects as go
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  import plotly.colors as pc
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- import re
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- import csv
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- # @spaces.GPU
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- # def model_prediction():
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- # pass
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  pnp_path = os.path.join("data", "evaluation_p_metrics.csv")
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  with open('style.css', 'r') as file:
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  css = file.read()
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  import gradio as gr
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  import pandas as pd
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  import os
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+ import re
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+ import csv
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+ import time
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  # # https://discuss.huggingface.co/t/issues-with-sadtalker-zerogpu-spaces-inquiry-about-community-grant/110625/10
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  # if os.environ.get("SPACES_ZERO_GPU") is not None:
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  # import spaces
 
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  from qatch.generate_dataset.orchestrator_generator import OrchestratorGenerator
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  from qatch.evaluate_dataset.orchestrator_evaluator import OrchestratorEvaluator
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  from prediction import ModelPrediction
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+ from utils_get_db_tables_info import utils_extract_db_schema_as_string
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  import utilities as us
 
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  import plotly.express as px
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  import plotly.graph_objects as go
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  import plotly.colors as pc
 
 
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  pnp_path = os.path.join("data", "evaluation_p_metrics.csv")
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+ us.check_and_create_dir('data/data_interface/')
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+ us.check_and_create_dir('data/data_results/')
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+ us.check_and_create_dir('data/databases/')
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+
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  with open('style.css', 'r') as file:
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  css = file.read()
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evaluation_p_metrics.csv DELETED
The diff for this file is too large to render. See raw diff
 
models.csv CHANGED
@@ -1,3 +1,7 @@
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  name,code,price,image_path
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- Meta-LLAMA,meta-llama/Llama-3.3-70B-Instruct-Turbo-Free,0.0,./models_logo/LLAMA.jpg
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- DEEPSEEK,deepseek-ai/DeepSeek-R1-Distill-Llama-70B-free,0.0,./models_logo/DEEPSEEK.jpg
 
 
 
 
 
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  name,code,price,image_path
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+ Meta LLAMA-8,llama-8,0.0,./models_logo/LLAMA.jpg
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+ DeepSeek-R1-Distill-Llama-70B,DeepSeek-R1-Distill-Llama-70B,0.0,./models_logo/DEEPSEEK.jpg
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+ CHAT GPT-3.5,gpt-3.5,0.0,models_logo/CHATGPT3_5.png
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+ CHAT GPT-4 mini,gpt-4o-mini,0.0,./models_logo/CHATGPT4mini.png
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+ CHAT GPT-o1-mini,o1-mini,0.0,./models_logo/CHATGPTo1mini.png
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+ QwQ,QwQ,0.0,./models_logo/QWQ.png
models_logo/CHATGPT3_5.png ADDED
models_logo/CHATGPT4mini.png ADDED
models_logo/CHATGPTo1mini.png ADDED
models_logo/DEEPSEEK.jpg ADDED
models_logo/LLAMA.jpg ADDED
models_logo/QWQ.png ADDED
test_prediction.py CHANGED
@@ -1,4 +1,5 @@
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  from prediction import ModelPrediction
 
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  def main():
@@ -8,5 +9,7 @@ def main():
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  if __name__ == "__main__":
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- main()
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- # do something with prompt
 
 
 
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  from prediction import ModelPrediction
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+ import utilities as us
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  def main():
 
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  if __name__ == "__main__":
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+ # main()
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+ us.check_and_create_dir('data/data_interface/')
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+ us.check_and_create_dir('data/data_results/')
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+ us.check_and_create_dir('data/databases/')
utilities.py CHANGED
@@ -129,4 +129,12 @@ def extract_tables_dict(pnp_path):
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  if tbl_name not in tables_dict:
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  tables_dict[tbl_name] = []
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  #tables_dict[tbl_name].append(row)
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- return tables_dict
 
 
 
 
 
 
 
 
 
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  if tbl_name not in tables_dict:
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  tables_dict[tbl_name] = []
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  #tables_dict[tbl_name].append(row)
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+ return tables_dict
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+
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+ def check_and_create_dir(db_path):
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+ # Check if the folder exists, and create it if it doesn't
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+ if not os.path.exists(db_path):
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+ os.makedirs(db_path)
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+ print(f"Folder created: {db_path}")
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+ else:
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+ print(f"Folder already exists: {db_path}")
utils_get_db_tables_info.py CHANGED
@@ -2,7 +2,6 @@ import os
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  import sqlite3
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  import re
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-
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  def utils_extract_db_schema_as_string(
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  db_id, base_path, normalize=False, sql: str | None = None
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  ):
 
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  import sqlite3
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  import re
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  def utils_extract_db_schema_as_string(
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  db_id, base_path, normalize=False, sql: str | None = None
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  ):