GGINCoder commited on
Commit
46238a0
·
verified ·
1 Parent(s): 47d053a

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +7 -22
app.py CHANGED
@@ -10,15 +10,8 @@ from langchain_groq import ChatGroq
10
  import chardet
11
  import pandas as pd
12
  import plotly.graph_objs as go
13
- import shutil
14
 
15
- TMP_CSV_PATH = "/tmp/evaluations.csv"
16
- PERSISTENT_CSV_PATH = "/app/files/evaluations.csv"
17
-
18
- def ensure_directory_exists(file_path):
19
- directory = os.path.dirname(file_path)
20
- if not os.path.exists(directory):
21
- os.makedirs(directory)
22
 
23
  def detect_encoding(file_path):
24
  with open(file_path, 'rb') as file:
@@ -113,12 +106,11 @@ def chat_with_models(file, model_a, model_b, api_key, history_a, history_b, ques
113
  return history_a + [(error_message, None)], history_b + [(error_message, None)], ""
114
 
115
  def load_or_create_df():
116
- if os.path.exists(PERSISTENT_CSV_PATH):
117
- return pd.read_csv(PERSISTENT_CSV_PATH)
118
  else:
119
  df = pd.DataFrame(columns=['Model A', 'Model B', 'Evaluation', 'Count'])
120
- ensure_directory_exists(PERSISTENT_CSV_PATH)
121
- df.to_csv(PERSISTENT_CSV_PATH, index=False)
122
  return df
123
 
124
  def record_evaluation(df, model_a, model_b, evaluation):
@@ -129,15 +121,9 @@ def record_evaluation(df, model_a, model_b, evaluation):
129
  'Count': [1]
130
  })
131
  updated_df = pd.concat([df, new_row], ignore_index=True)
132
- ensure_directory_exists(TMP_CSV_PATH)
133
- updated_df.to_csv(TMP_CSV_PATH, index=False)
134
- copy_to_persistent_storage()
135
  return updated_df
136
 
137
- def copy_to_persistent_storage():
138
- ensure_directory_exists(PERSISTENT_CSV_PATH)
139
- shutil.copy2(TMP_CSV_PATH, PERSISTENT_CSV_PATH)
140
-
141
  def update_statistics(df):
142
  stats = df.groupby(['Model A', 'Model B', 'Evaluation'])['Count'].sum().reset_index()
143
 
@@ -159,8 +145,7 @@ def evaluate(df, model_a, model_b, evaluation):
159
  models = ["llama3-70b-8192", "mixtral-8x7b-32768", "llama3-8b-8192", "gemma-7b-it"]
160
 
161
  def create_demo():
162
- print(f"Temporary CSV file is located at: {TMP_CSV_PATH}")
163
- print(f"Persistent CSV file is located at: {PERSISTENT_CSV_PATH}")
164
 
165
  with gr.Blocks(theme=gr.themes.Soft()) as demo:
166
  gr.Markdown("# Choose two models to compare")
@@ -211,7 +196,7 @@ def create_demo():
211
  return demo
212
 
213
  if __name__ == "__main__":
214
- print(f"CSV file is located at: {PERSISTENT_CSV_PATH}")
215
  demo = create_demo()
216
  demo.launch(share=True)
217
  else:
 
10
  import chardet
11
  import pandas as pd
12
  import plotly.graph_objs as go
 
13
 
14
+ CSV_PATH = "/home/user/evaluations.csv"
 
 
 
 
 
 
15
 
16
  def detect_encoding(file_path):
17
  with open(file_path, 'rb') as file:
 
106
  return history_a + [(error_message, None)], history_b + [(error_message, None)], ""
107
 
108
  def load_or_create_df():
109
+ if os.path.exists(CSV_PATH):
110
+ return pd.read_csv(CSV_PATH)
111
  else:
112
  df = pd.DataFrame(columns=['Model A', 'Model B', 'Evaluation', 'Count'])
113
+ df.to_csv(CSV_PATH, index=False)
 
114
  return df
115
 
116
  def record_evaluation(df, model_a, model_b, evaluation):
 
121
  'Count': [1]
122
  })
123
  updated_df = pd.concat([df, new_row], ignore_index=True)
124
+ updated_df.to_csv(CSV_PATH, index=False)
 
 
125
  return updated_df
126
 
 
 
 
 
127
  def update_statistics(df):
128
  stats = df.groupby(['Model A', 'Model B', 'Evaluation'])['Count'].sum().reset_index()
129
 
 
145
  models = ["llama3-70b-8192", "mixtral-8x7b-32768", "llama3-8b-8192", "gemma-7b-it"]
146
 
147
  def create_demo():
148
+ print(f"CSV file is located at: {CSV_PATH}")
 
149
 
150
  with gr.Blocks(theme=gr.themes.Soft()) as demo:
151
  gr.Markdown("# Choose two models to compare")
 
196
  return demo
197
 
198
  if __name__ == "__main__":
199
+ print(f"CSV file is located at: {CSV_PATH}")
200
  demo = create_demo()
201
  demo.launch(share=True)
202
  else: