Update app.py

app.py

@@ -5,20 +5,20 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 import gradio as gr
 import os
 import logging
-
+from unsloth import FastLanguageModel
 import subprocess
 
-# Set up logging
+# Set up logging to file
+log_file_path = "app.log"  # Name of your log file
+logging.basicConfig(
+    filename=log_file_path, 
+    level=logging.DEBUG,  
+    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+)
 logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)  # Set the logging level
-ch = logging.StreamHandler(gr.Log())  # Create a StreamHandler and send logs to gr.Log
-formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
-ch.setFormatter(formatter)
-logger.addHandler(ch)
 
 # Get environment variable for Hugging Face access
-READ_HF = os.environ.get("read_hf") #use .get to avoid error if variable doesn't exist
-logger.info("Checking logger...")
+READ_HF = os.environ.get("read_hf")
 # Alpaca prompt template
 alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
 
@@ -140,6 +140,22 @@ iface = gr.Interface(
     ],
     outputs=gr.Textbox(label="output", lines=23),
     title="Testing",
+    allow_flagging="manual",
 )
+# --- Code to commit the log file to your repo ---
+try:
+    # Add the log file to the git staging area
+    subprocess.run(['git', 'add', log_file_path]) 
+    
+    # Commit the changes 
+    subprocess.run(['git', 'commit', '-m', 'Update log file'])
+
+    # Push the changes to the remote repository (usually 'origin')
+    subprocess.run(['git', 'push']) 
+
+    logger.info("Log file committed to the repository.")
+
+except Exception as e:
+    logger.error(f"Error committing log file: {e}")
 
 iface.launch(inline=False)