Fix Windows build

.github/workflows/build.yml

@@ -7,7 +7,7 @@ on:
     branches: [ "main" ]
 
 jobs:
-  build:
+  build-linux:
     strategy:
       matrix:
         c_compiler: [gcc, clang]
@@ -58,3 +58,22 @@ jobs:
       with:
         name: ${{ runner.os }}-${{ matrix.c_compiler }}-build
         path: ${{ steps.strings.outputs.build-output-dir }}
+
+  build-windows:
+    runs-on: windows-latest
+    steps:
+    - uses: actions/checkout@v5
+      with:
+        submodules: recursive
+    - name: Enable Developer Command Prompt
+      uses: ilammy/msvc-dev-cmd@0b201ec74fa43914dc39ae48a89fd1d8cb592756 # v1.13.0
+    - name: build
+      run: |
+        cmake -B build -G Ninja -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=cl -DCMAKE_BUILD_TYPE=Release
+        cmake --build build
+
+    - name: Upload Build Artifacts
+      uses: actions/upload-artifact@v4
+      with:
+        name: ${{ runner.os }}-msvc-build
+        path: build/

examples/cli/CMakeLists.txt

@@ -10,8 +10,21 @@ add_executable(${TARGET}
     vad.h
 )
 
-find_package(SDL2)
-if (SDL2_FOUND)
+option(TTS_CLI_SDL    "TTS.cpp: build the example cli with SDL" ON)
+
+if(TTS_CLI_SDL)
+    find_package(SDL2 QUIET)
+    if (NOT SDL2_FOUND)
+        include(FetchContent)
+        message(STATUS "Could not find SDL2, fetching from git...")
+        FetchContent_Declare(
+            SDL2
+            GIT_REPOSITORY https://github.com/libsdl-org/SDL.git
+            GIT_TAG        release-2.32.8
+        )
+        FetchContent_MakeAvailable(SDL2)
+    endif()
+
     target_link_libraries(${TARGET} PRIVATE SDL2::SDL2)
     set_source_files_properties(playback.cpp PROPERTIES COMPILE_FLAGS -DSDL2_INSTALL=1)
 endif()

examples/server/server.cpp

@@ -484,7 +484,7 @@ int main(int argc, const char ** argv) {
     if (std::filesystem::is_directory(model_path)) {
         for (auto const &entry : std::filesystem::directory_iterator(model_path)) {
             if (!entry.is_directory() && entry.path().extension() == ".gguf") {
-                const std::string id = entry.path().stem();
+                const std::string id = entry.path().stem().string();
                 model_map[id] = entry.path().string();
             }
         }
@@ -494,7 +494,7 @@ int main(int argc, const char ** argv) {
         }
     } else {
         const std::filesystem::path path = model_path;
-        model_map[path.stem()] = path;
+        model_map[path.stem().string()] = path.string();
     }
 
     auto model_creation = std::chrono::duration_cast<std::chrono::seconds>(
@@ -503,7 +503,7 @@ int main(int argc, const char ** argv) {
 
     std::string default_model = "";
     if (args.get_string_param("--default-model") != "") {
-        const std::string model = std::filesystem::path { args.get_string_param("--default-model") }.stem();
+        const std::string model = std::filesystem::path { args.get_string_param("--default-model") }.stem().string();
         if (model_map.contains(model)) {
             default_model = model;
         } else {

py-gguf/tts_encoders/orpheus_gguf_encoder.py

@@ -82,7 +82,7 @@ def tokenizer_json(self) -> Dict:
                     f"Failed with exception, {e}, attempting to obtain tokenizer.json via repository '{self.repo_id}'."
                 )
                 raise e
-            with open(conf_path, "r+") as f:
+            with open(conf_path, "r+", encoding="utf-8") as f:
                 self._tokenizer_json = json.load(f)
         return self._tokenizer_json
 
@@ -143,7 +143,7 @@ def prepare_snac_tensors(self):
 
     def prepare_rope_frequencies(self):
         """
-        Because Llama-3 like Rotary Positional Embeddings are not currently supported out-of-the-box in GGML, 
+        Because Llama-3 like Rotary Positional Embeddings are not currently supported out-of-the-box in GGML,
         we need to encode the rope frequency vectors to use directly.
         """
         base = self.model.config.rope_theta

src/models/CMakeLists.txt

@@ -4,9 +4,7 @@ target_sources(tts PRIVATE
 )
 
 add_subdirectory(dia)
-if (LINUX)
-    add_subdirectory(dummy)
-endif ()
+add_subdirectory(dummy)
 add_subdirectory(kokoro)
 add_subdirectory(orpheus)
 add_subdirectory(parler)

src/models/dummy/model.cpp

@@ -1,6 +1,7 @@
 #include "model.h"
 
-#include <cmath>
+#include <math.h>
+#include <numbers>
 #include <cstring>
 
 void dummy_runner::generate(const char * sentence, tts_response & output, const generation_configuration &) {
@@ -9,10 +10,10 @@ void dummy_runner::generate(const char * sentence, tts_response & output, const
     const size_t N{ strlen(sentence) };
     outputs = make_unique_for_overwrite<float[]>(output.n_outputs = N * SAMPLING_RATE);
     for (size_t i{}; i < N; ++i) {
-        const float wavelength{static_cast<float>(SAMPLING_RATE / M_PI / 2) / (200 + sentence[i]) };
+        const float wavelength{static_cast<float>(SAMPLING_RATE / std::numbers::pi / 2) / (200 + sentence[i]) };
         float *     buf = &outputs[i * SAMPLING_RATE];
         for (size_t j{}; j < SAMPLING_RATE; ++j) {
-            buf[j] = sin(j * static_cast<float>(M_PI / SAMPLING_RATE)) * sin(j / wavelength);
+            buf[j] = sin(j * static_cast<float>(std::numbers::pi / SAMPLING_RATE)) * sin(j / wavelength);
         }
     }
     output.data = outputs.get();

src/models/kokoro/model.cpp

@@ -385,7 +385,7 @@ void kokoro_model::post_load_assign() {
    	sampling_factor_scalar->data = (void *)((uint8_t *) ggml_backend_buffer_get_base(buf) + offset);
     size_t scsize = ggml_nbytes(sampling_factor_scalar);
     // while it might appear that the upsampling_rate could be used here, the interpolation rate (i.e. the upsampling scale) is actually independent in the kokoro model implementation.
-    float sample_scalar = upsample_scale*2.0f*M_PI;
+    float sample_scalar = upsample_scale*2.0f*std::numbers::pi;
 	ggml_backend_tensor_set(sampling_factor_scalar, &sample_scalar, 0, scsize);
 	offset += scsize;
 	post_load_tensor_bytes = 300 + offset - original_offset;

src/util.cpp

@@ -131,7 +131,7 @@ struct ggml_tensor * istft(ggml_context * ctx, struct ggml_tensor * a, struct gg
 
 void hann_window(size_t n_fft, std::vector<float> & tgt) {
     for (int i = 0; i < n_fft; i++) {
-        float v = pow(sin(M_PI * (double)i / (double) n_fft), 2.0);
+        float v = pow(sin(std::numbers::pi * (double)i / (double) n_fft), 2.0);
         tgt.push_back(v);
     }
 }

src/util.h

@@ -1,8 +1,8 @@
 #ifndef util_h
 #define util_h
 
-#define _USE_MATH_DEFINES
-#include <cmath>
+#include <numbers>
+#include <math.h>
 #include <functional>
 #include <random>
 #include <stdio.h>