More comments in the code

.prompts/explain.prompt

@@ -0,0 +1,21 @@
+# This is "explain.prompt", a slash command to explain code
+# It is used to define and reuse prompts within Continue
+# Continue will automatically create a slash command for each prompt in the .prompts folder
+# To learn more, see the full .prompt file reference: https://docs.continue.dev/walkthroughs/prompt-files
+temperature: 0.3
+---
+<system>
+You are an expert programmer
+</system>
+
+{{{ input }}}
+
+Please analyze the source code snippet above and provide a detailed explanation of its functionality. 
+
+Input: Clearly identify where the code takes input from (e.g., user input, file, database, API call). Specify the format of this input (e.g., text string, numerical values, JSON object).
+Processing: Describe step-by-step how the code processes the input. Explain the purpose of each key function, loop, or conditional statement. Use clear and concise language, avoiding jargon where possible.
+Output: Specify what the code produces as output (e.g., printed text, modified file, database update, API response). Describe the format and content of this output.
+
+Invocation Context: Who would typically use this code snippet? What is its intended purpose or application? Provide examples of real-world scenarios where this code might be employed.
+
+If you need to provide more context, please include it in your explanation.

smartassist/src/ollama_interact.py

@@ -1,21 +1,35 @@
-# Example function to interact with OLLAMA
+
+# Import the necessary library from ollama module
 from ollama import Client
 
 def get_response(user_query):
+  # Create a client object for interacting with OLLAMA API
     client = Client()
+
+    # Generate and retrieve the response based on user's query
     response = client.generate_response(user_query)
+
+    # Return the generated response
     return response
 
 # Flask endpoint for user interaction
 from flask import Flask, request, jsonify
+
+# Initialize a Flask application
 app = Flask(__name__)
 
 @app.route('/smartassist', methods=['POST'])
 def smartassist():
+    # Extract the query from the incoming JSON data
     data = request.json
     user_query = data['query']
+
+    # Get the response from the OLLAMA API based on the user's query
     response = get_response(user_query)
+
+    # Return the response as a JSON object in the HTTP response
     return jsonify({"response": response})
 
+# Run the Flask application if this script is executed directly
 if __name__ == '__main__':
     app.run(debug=True)