lollms v 9.4

lollms/binding.py

@@ -565,7 +565,7 @@ class LLMBinding:
         
         return file_size
     
-    def build_model(self):
+    def build_model(self, model_name=None):
         """
         Build the model.
 
@@ -574,7 +574,10 @@ class LLMBinding:
         Returns:
             the model
         """        
-        return None
+        if model_name is not None:
+            self.model_name = model_name
+        else:
+            self.model_name = self.config.model_name
     
     def destroy_model(self):
         """
@@ -892,8 +895,8 @@ class ModelBuilder:
         self.model = None
         self.build_model() 
 
-    def build_model(self):
+    def build_model(self, model_name=None):
-        self.model = self.binding.build_model()
+        self.model = self.binding.build_model(model_name)
 
     def get_model(self):
         return self.model

lollms/personality.py

@@ -2522,7 +2522,7 @@ class APScript(StateMachine):
         Returns:
             str: The generated title.
         """        
-        global_prompt = f"!@>instruction: Create a title for the following prompt:\n!@>prompt:{prompt}\n!@>title:"
+        global_prompt = f"!@>instructions: Based on the provided prompt, suggest a concise and relevant title that captures the main topic or theme of the conversation. Only return the suggested title, without any additional text or explanation.\n!@>prompt: {prompt}\n!@>title:"
         title = self.fast_gen(global_prompt,max_title_length)
         return title
 

lollms/server/endpoints/lollms_generator.py

@@ -142,6 +142,9 @@ async def lollms_generate(request: LollmsGenerateRequest):
                             return False
                         
                     def chunks_builder():
+                        if request.model_name in elf_server.binding.list_models() and elf_server.binding.model_name!=request.model_name:
+                            elf_server.binding.build_model(request.model_name)    
+
                         elf_server.binding.generate(
                                                 prompt, 
                                                 n_predict, 

lollms/server/endpoints/lollms_xtts.py

@@ -101,8 +101,8 @@ async def text2Audio(request: LollmsText2AudioRequest):
                     voice_samples_path=Path(__file__).parent/"voices", 
                     xtts_base_url= lollmsElfServer.config.xtts_base_url
                 )
-        except:
+        except Exception as ex:
-            return {"url": None}
+            return {"url": None, "error":f"{ex}"}
             
         voice=lollmsElfServer.config.current_voice if request.voice is None else request.voice
         index = find_first_available_file_index(lollmsElfServer.tts.output_folder, "voice_sample_",".wav")

lollms/services/xtts/lollms_xtts.py

@@ -164,7 +164,7 @@ class LollmsXTTS:
             process = subprocess.Popen(command, stdout=subprocess.PIPE, shell=True)
 
         else:
-            command = f'conda activate xtts && python -m xtts_api_server -o  {self.output_folder} -sf {self.voice_samples_path} -p {self.xtts_base_url.split(':')[-1].replace('/','')}'
+            command = f"conda activate xtts && python -m xtts_api_server -o  {self.output_folder} -sf {self.voice_samples_path} -p {self.xtts_base_url.split(':')[-1].replace('/','')}"
             process = subprocess.Popen(command, stdout=subprocess.PIPE, shell=True)
 
         return process

setup.py

@@ -26,7 +26,7 @@ def get_all_files(path):
 
 setuptools.setup(
     name="lollms",
-    version="9.3.0",
+    version="9.4.0",
     author="Saifeddine ALOUI (ParisNeo)",
     author_email="aloui.saifeddine@gmail.com",
     description="A python library for AI personality definition",