CI fixes

Author: danemadsen

examples/simple-tts/README.md

@@ -10,4 +10,4 @@ Once you have the files you can run the following command to generate speech fro
 
 ```bash
 ./llama-simple-tts -m  ./OuteTTS-0.2-500M-q8_0.gguf -mv ./WavTokenizer-Large-75-F16.gguf -v ./en_male_1.json -p "Hello, world!"
-```
+```

examples/simple-tts/simple-tts.cpp

@@ -563,7 +563,7 @@ int main(int argc, char ** argv) {
     llama_context_params ctx_params = llama_context_default_params();
     ctx_params.n_ctx = 8192;
     ctx_params.n_batch = 8192;
-    
+
     llama_context * ctx = llama_init_from_model(model, ctx_params);
     if (!ctx) {
         fprintf(stderr, "%s: error: failed to create the llama_context\n", __func__);
@@ -577,7 +577,7 @@ int main(int argc, char ** argv) {
         fprintf(stderr, "%s: error: failed to create the vocoder llama_context\n", __func__);
         return 1;
     }
-    
+
     std::vector<llama_sampler *> smpl(n_parallel);
     for (int i = 0; i < n_parallel; ++i) {
         smpl[i] = llama_sampler_chain_init(llama_sampler_chain_default_params());
@@ -696,7 +696,7 @@ int main(int argc, char ** argv) {
             return 1;
         }
     }
-    
+
     llama_batch_free(batch);
 
     // remove all non-audio tokens (i.e. < 151672 || > 155772)
@@ -742,4 +742,4 @@ int main(int argc, char ** argv) {
     llama_backend_free();
 
     return 0;
-}
+}