Delete thing.py

thing.py

@@ -1,64 +0,0 @@
-import os
-import re
-import json
-import uuid
-def process_conversation(file_path):
-    # Read the TXT file
-    with open(file_path, "r", encoding="utf-8") as file:
-        lines = file.readlines()
-    # Store the conversation
-    conversation = []
-    is_user = True  # To alternate between user ('human') and gpt
-    # Regex pattern to match speaker before the colon
-    pattern = re.compile(r"^(.*?):")
-    for line in lines:
-        line = line.strip()  # Remove leading/trailing whitespace
-        if not line:
-            continue  # Skip empty lines
-        # Match the speaker before the colon
-        match = pattern.match(line)
-        if match:
-            message_dict = {
-                "from": "human" if is_user else "gpt",  # Use 'human' instead of 'user'
-                "value": line
-            }
-            conversation.append(message_dict)
-            # Alternate turns between 'human' and 'gpt'
-            is_user = not is_user
-    # Ensure the conversation ends with gpt's turn
-    if conversation and conversation[-1]["from"] == "human":
-        # If it ends on 'human', remove last entry
-        conversation.pop()
-    # Create structure with id and conversations
-    conversation_data = {
-        "id": str(uuid.uuid4()),  # Generate a unique ID for the conversation
-        "conversations": conversation
-    }
-    return conversation_data
-def write_json(conversation_data, output_path):
-    # Prepare the output list that wraps the conversation
-    output_json = [conversation_data]
-    # Write to JSON file, compact, all in single line
-    with open(output_path, "w", encoding="utf-8") as outfile:
-        json.dump(output_json, outfile, ensure_ascii=False, separators=(',', ':'))
-def process_folder(input_folder, output_folder):
-    # Make sure the output folder exists
-    if not os.path.exists(output_folder):
-        os.makedirs(output_folder)  # Create output folder if it doesn't exist
-    # Loop through all files in the input folder
-    for filename in os.listdir(input_folder):
-        if filename.endswith(".txt"):  # Process only TXT files
-            input_file_path = os.path.join(input_folder, filename)
-            # Process the conversation
-            conversation_data = process_conversation(input_file_path)
-            # Construct a unique output JSON file name
-            output_file_name = f"{os.path.splitext(filename)[0]}.json"  # Use same name, but with .json extension
-            output_file_path = os.path.join(output_folder, output_file_name)
-            # Write the JSON file
-            write_json(conversation_data, output_file_path)
-            print(f"Converted: {filename} --> {output_file_name}")
-# Call the folder processing function
-input_folder = r"C:\Users\User\Documents\datasets\Special- Chat (RP logs, convert to sharegpt)\todo"  # Path to folder containing .txt files
-output_folder = r"C:\Users\User\Documents\datasets\Special- Chat (RP logs, convert to sharegpt)\room\done"  # Path to folder where JSONs will be saved
-process_folder(input_folder, output_folder)
-print(f"Conversion complete! JSONs saved to {output_folder}")