Merge branch 'main' of https://github.com/stefanches7/AI-assisted-Neuroimaging-harmonization

.gitignore

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+/Non_Bids_Dataset

LM_Studio_chat.py

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+import requests
+import json
+
+url = "http://localhost:1234/v1/chat/completions"
+headers = {
+    "Content-Type": "application/json"
+}
+
+# Initialize conversation history with the system message
+conversation_history = [
+    {
+        "role": "system",
+        "content": "Be a helpful assistant. Be concise."
+    }
+]
+
+while True:
+    # Get user input
+    user_input = input("You: ")
+
+    # Exit the loop if the user types 'exit'
+    if user_input.lower() == 'exit':
+        print("Ending conversation...")
+        break
+
+    # Add user's message to the conversation history
+    conversation_history.append({
+        "role": "user",
+        "content": user_input
+    })
+
+    # Prepare the data for the API call
+    data = {
+        "model": "deepseek/deepseek-r1-0528-qwen3-8b",
+        "messages": conversation_history,
+        "temperature": 0.7,
+        "max_tokens": -1,
+        "stream": False
+    }
+
+    # Make the POST request to the API
+    response = requests.post(url, headers=headers, data=json.dumps(data))
+
+    # Get the model's response
+    model_response = response.json()
+
+    # Extract and print the last model response (the assistant's content)
+    last_message = model_response['choices'][0]['message']['content']
+    print(f"Model: {last_message}")
+
+    # Add model's response to the conversation history for the next round
+    conversation_history.append({
+        "role": "assistant",
+        "content": last_message
+    })