Added leader gs to sync the current buffer and query a question
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README.md
11
README.md
@ -38,17 +38,22 @@ vim.g.gemini_api_key = "your-api-key-here"
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## Usage
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The plugin provides two ways to interact with Gemini:
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The plugin provides three ways to interact with Gemini:
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1. Command Mode:
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```vim
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:Gemini What is SOLID in software engineering?
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```
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2. Keymap (default):
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- Press `<leader>g` to open an input prompt
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2. Simple Query (default):
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- Press `<leader>gc` to open an input prompt (mnemonic: 'gemini chat')
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- Type your query and press Enter
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3. Context-Aware Query:
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- Press `<leader>gs` to open an input prompt (mnemonic: 'gemini sync')
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- This will send your current buffer's content as context along with your query
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- Useful for code-related questions about the file you're working on
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### Response Window
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The AI response appears in a floating window. You can close it using:
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@ -18,7 +18,7 @@ local function get_api_key()
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return nil -- API key not found
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end
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local function make_request(prompt)
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local function make_request(prompt, context)
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local api_key = get_api_key()
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if not api_key then
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@ -29,17 +29,26 @@ local function make_request(prompt)
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return nil
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end
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local model = "gemini-2.0-flash" -- Updated to an available model
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local payload = vim.json.encode({
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contents = {
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{
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parts = {
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{
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text = prompt,
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},
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local model = "gemini-2.0-flash"
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local contents = {
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{
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parts = {
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{
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text = prompt,
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},
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},
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},
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}
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-- If context is provided, add it to the contents
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if context then
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table.insert(contents[1].parts, 1, {
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text = "Context:\n" .. context .. "\n\nQuery:\n",
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})
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end
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local payload = vim.json.encode({
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contents = contents,
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})
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-- Escape the payload for shell
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@ -72,8 +81,8 @@ local function make_request(prompt)
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return decoded_result
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end
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function M.get_response(prompt)
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local result = make_request(prompt)
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function M.get_response(prompt, context)
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local result = make_request(prompt, context)
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if result then
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if result.error then
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@ -3,79 +3,94 @@
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local api = require("gemini.api")
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local M = {}
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local function gemini_query(prompt)
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local response = api.get_response(prompt)
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local function get_current_buffer_content()
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local lines = vim.api.nvim_buf_get_lines(0, 0, -1, false)
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return table.concat(lines, "\n")
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end
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if response then
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-- Create a scratch buffer
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local new_buf = vim.api.nvim_create_buf(false, true)
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vim.api.nvim_buf_set_lines(new_buf, 0, 0, false, vim.split(response, "\n"))
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local function gemini_query(prompt, context)
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local response = api.get_response(prompt, context)
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-- Set buffer options
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vim.api.nvim_buf_set_option(new_buf, 'modifiable', false)
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vim.api.nvim_buf_set_option(new_buf, 'buftype', 'nofile')
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if response then
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-- Create a scratch buffer
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local new_buf = vim.api.nvim_create_buf(false, true)
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vim.api.nvim_buf_set_lines(new_buf, 0, 0, false, vim.split(response, "\n"))
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-- Create the window
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local new_win = vim.api.nvim_open_win(new_buf, true, {
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relative = "editor",
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width = 80,
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height = 20,
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row = 5,
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col = vim.o.columns / 2 - 40,
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border = "rounded",
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title = "Google AI Response",
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style = "minimal"
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})
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-- Set buffer options
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vim.api.nvim_buf_set_option(new_buf, 'modifiable', false)
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vim.api.nvim_buf_set_option(new_buf, 'buftype', 'nofile')
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-- Set window-local keymaps
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local close_keys = {'q', '<Esc>', '<CR>'}
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for _, key in ipairs(close_keys) do
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vim.keymap.set('n', key, function()
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vim.api.nvim_win_close(new_win, true)
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end, { buffer = new_buf, nowait = true })
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end
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-- Create the window
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local new_win = vim.api.nvim_open_win(new_buf, true, {
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relative = "editor",
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width = 80,
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height = 20,
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row = 5,
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col = vim.o.columns / 2 - 40,
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border = "rounded",
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title = "Google AI Response",
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style = "minimal"
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})
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-- Add autocmd to enable closing with :q
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vim.api.nvim_create_autocmd("BufWinLeave", {
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buffer = new_buf,
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callback = function()
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if vim.api.nvim_win_is_valid(new_win) then
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vim.api.nvim_win_close(new_win, true)
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end
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end,
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once = true,
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})
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else
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vim.notify("Failed to get a response from Gemini API", vim.log.levels.ERROR)
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end
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-- Set window-local keymaps
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local close_keys = {'q', '<Esc>', '<CR>'}
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for _, key in ipairs(close_keys) do
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vim.keymap.set('n', key, function()
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vim.api.nvim_win_close(new_win, true)
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end, { buffer = new_buf, nowait = true })
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end
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-- Add autocmd to enable closing with :q
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vim.api.nvim_create_autocmd("BufWinLeave", {
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buffer = new_buf,
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callback = function()
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if vim.api.nvim_win_is_valid(new_win) then
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vim.api.nvim_win_close(new_win, true)
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end
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end,
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once = true,
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})
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else
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vim.notify("Failed to get a response from Gemini API", vim.log.levels.ERROR)
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end
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end
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-- Make gemini_query available in M so it can be used by the setup function
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M.gemini_query = gemini_query
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function M.setup()
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-- Create the user command
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vim.api.nvim_create_user_command("Gemini", function(opts)
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local prompt = opts.args
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if prompt == "" then
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vim.notify("Please provide a prompt for Gemini.", vim.log.levels.WARN)
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return
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end
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M.gemini_query(prompt) -- Use M.gemini_query instead of gemini_query
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end, {
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desc = "Query Google AI",
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nargs = "+",
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complete = "shellcmd",
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})
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-- Create the user command
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vim.api.nvim_create_user_command("Gemini", function(opts)
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local prompt = opts.args
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if prompt == "" then
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vim.notify("Please provide a prompt for Gemini.", vim.log.levels.WARN)
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return
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end
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M.gemini_query(prompt)
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end, {
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desc = "Query Google AI",
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nargs = "+",
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complete = "shellcmd",
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})
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-- Set up keymapping
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vim.keymap.set("n", "<leader>g", function()
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vim.ui.input({ prompt = "Gemini Query: " }, function(input)
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if input then
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M.gemini_query(input) -- Use M.gemini_query instead of gemini_query
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end
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end)
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end, { desc = "Query Google AI (via Input)" })
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-- Set up keymapping with 'gc' for 'gemini chat'
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vim.keymap.set("n", "<leader>gc", function()
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vim.ui.input({ prompt = "Gemini Query: " }, function(input)
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if input then
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M.gemini_query(input)
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end
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end)
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end, { desc = "Query Google AI (via Input)" })
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-- Set up keymapping with 'gs' for 'gemini sync'
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vim.keymap.set("n", "<leader>gs", function()
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vim.ui.input({ prompt = "Gemini Query (with buffer context): " }, function(input)
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if input then
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local buffer_content = get_current_buffer_content()
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M.gemini_query(input, buffer_content)
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end
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end)
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end, { desc = "Query Google AI (with buffer context)" })
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end
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return M
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