Added leader gs to sync the current buffer and query a question

README.md

@@ -38,17 +38,22 @@ vim.g.gemini_api_key = "your-api-key-here"
 
 ## Usage
 
-The plugin provides two ways to interact with Gemini:
+The plugin provides three ways to interact with Gemini:
 
 1. Command Mode:
 ```vim
 :Gemini What is SOLID in software engineering?
 ```
 
-2. Keymap (default):
-- Press `<leader>g` to open an input prompt
+2. Simple Query (default):
+- Press `<leader>gc` to open an input prompt (mnemonic: 'gemini chat')
 - Type your query and press Enter
 
+3. Context-Aware Query:
+- Press `<leader>gs` to open an input prompt (mnemonic: 'gemini sync')
+- This will send your current buffer's content as context along with your query
+- Useful for code-related questions about the file you're working on
+
 ### Response Window
 
 The AI response appears in a floating window. You can close it using:

lua/gemini/api.lua

@@ -18,7 +18,7 @@ local function get_api_key()
 	return nil -- API key not found
 end
 
-local function make_request(prompt)
+local function make_request(prompt, context)
 	local api_key = get_api_key()
 
 	if not api_key then
@@ -29,9 +29,8 @@ local function make_request(prompt)
 		return nil
 	end
 
-	local model = "gemini-2.0-flash" -- Updated to an available model
-	local payload = vim.json.encode({
-		contents = {
+	local model = "gemini-2.0-flash"
+	local contents = {
 		{
 			parts = {
 				{
@@ -39,7 +38,17 @@ local function make_request(prompt)
 				},
 			},
 		},
-		},
+	}
+
+	-- If context is provided, add it to the contents
+	if context then
+		table.insert(contents[1].parts, 1, {
+			text = "Context:\n" .. context .. "\n\nQuery:\n",
+		})
+	end
+
+	local payload = vim.json.encode({
+		contents = contents,
 	})
 
 	-- Escape the payload for shell
@@ -72,8 +81,8 @@ local function make_request(prompt)
 	return decoded_result
 end
 
-function M.get_response(prompt)
-	local result = make_request(prompt)
+function M.get_response(prompt, context)
+	local result = make_request(prompt, context)
 
 	if result then
 		if result.error then

lua/gemini/init.lua

@@ -3,8 +3,13 @@
 local api = require("gemini.api")
 local M = {}
 
-local function gemini_query(prompt)
-	local response = api.get_response(prompt)
+local function get_current_buffer_content()
+    local lines = vim.api.nvim_buf_get_lines(0, 0, -1, false)
+    return table.concat(lines, "\n")
+end
+
+local function gemini_query(prompt, context)
+    local response = api.get_response(prompt, context)
 
     if response then
         -- Create a scratch buffer
@@ -61,21 +66,31 @@ function M.setup()
             vim.notify("Please provide a prompt for Gemini.", vim.log.levels.WARN)
             return
         end
-		M.gemini_query(prompt)  -- Use M.gemini_query instead of gemini_query
+        M.gemini_query(prompt)
     end, {
         desc = "Query Google AI",
         nargs = "+",
         complete = "shellcmd",
     })
 
-	-- Set up keymapping
-	vim.keymap.set("n", "<leader>g", function()
+    -- Set up keymapping with 'gc' for 'gemini chat'
+    vim.keymap.set("n", "<leader>gc", function()
         vim.ui.input({ prompt = "Gemini Query: " }, function(input)
             if input then
-				M.gemini_query(input)  -- Use M.gemini_query instead of gemini_query
+                M.gemini_query(input)
             end
         end)
     end, { desc = "Query Google AI (via Input)" })
+
+    -- Set up keymapping with 'gs' for 'gemini sync'
+    vim.keymap.set("n", "<leader>gs", function()
+        vim.ui.input({ prompt = "Gemini Query (with buffer context): " }, function(input)
+            if input then
+                local buffer_content = get_current_buffer_content()
+                M.gemini_query(input, buffer_content)
+            end
+        end)
+    end, { desc = "Query Google AI (with buffer context)" })
 end
 
 return M