upgraded lollms

environment.yaml

@@ -0,0 +1,42 @@
+name: lollms_env
+channels:
+  - defaults
+  - conda-forge  # Adds a wider selection of packages, especially for less common ones
+dependencies:
+  - python=3.11
+  - numpy=1.26.*
+  - pandas
+  - pillow>=9.5.0
+  - pyyaml
+  - requests
+  - rich
+  - scipy
+  - tqdm
+  - setuptools
+  - wheel
+  - psutil
+  - pytest
+  - gitpython
+  - beautifulsoup4
+  - packaging
+  - fastapi
+  - uvicorn
+  - pydantic
+  - selenium
+  - aiofiles
+  - pip  # Conda will manage pip installation
+  - pip:
+    - colorama
+    - ascii-colors>=0.4.2
+    - python-multipart
+    - python-socketio
+    - python-socketio[client]
+    - python-socketio[asyncio_client]
+    - tiktoken
+    - pipmaster>=0.1.7
+    - lollmsvectordb>=1.1.0
+    - freedom-search>=0.1.9
+    - scrapemaster>=0.2.0
+    - lollms_client>=0.7.5
+    - zipfile36
+    - freedom_search

lollms/server/endpoints/lollms_tts.py

@@ -244,7 +244,7 @@ async def upload_voice_file(file: UploadFile = File(...)):
 
     # Save the file to disk or process it further
     contents = await file.read()
-    safe_filename = f"voice_{file_path.name}"
+    safe_filename = f"{file_path.name}"
     safe_file_path = lollmsElfServer.lollms_paths.custom_voices_path/safe_filename
     with safe_file_path.open("wb") as f:
         f.write(contents)

lollms/server/endpoints/lollms_whisper.py

@@ -0,0 +1,52 @@
+"""
+project: lollms_webui
+file: lollms_xtts.py 
+author: ParisNeo
+description: 
+    This module contains a set of FastAPI routes that provide information about the Lord of Large Language and Multimodal Systems (LoLLMs) Web UI
+    application. These routes allow users to 
+
+"""
+from fastapi import APIRouter, Request, UploadFile, File, HTTPException
+from fastapi.responses import PlainTextResponse
+from lollms_webui import LOLLMSWebUI
+from pydantic import BaseModel
+from starlette.responses import StreamingResponse
+from lollms.types import MSG_OPERATION_TYPE
+from lollms.main_config import BaseConfig
+from lollms.utilities import find_next_available_filename, output_file_path_to_url, detect_antiprompt, remove_text_from_string, trace_exception, find_first_available_file_index, add_period, PackageManager
+from lollms.security import sanitize_path, validate_path, check_access
+from pathlib import Path
+from ascii_colors import ASCIIColors
+import os
+import platform
+
+# ----------------------- Defining router and main class ------------------------------
+
+router = APIRouter()
+lollmsElfServer:LOLLMSWebUI = LOLLMSWebUI.get_instance()
+
+class Identification(BaseModel):
+    client_id: str
+
+# ----------------------- voice ------------------------------
+@router.post("/install_whisper")
+def install_whisper(data: Identification):
+    check_access(lollmsElfServer, data.client_id)
+    try:
+        if lollmsElfServer.config.headless_server_mode:
+            return {"status":False,"error":"Service installation is blocked when in headless mode for obvious security reasons!"}
+
+        if lollmsElfServer.config.host!="localhost" and lollmsElfServer.config.host!="127.0.0.1":
+            return {"status":False,"error":"Service installation is blocked when the server is exposed outside for very obvious reasons!"}
+
+        lollmsElfServer.ShowBlockingMessage("Installing whisper library\nPlease stand by")
+        from lollms.services.stt.whisper.lollms_whisper import install_whisper
+        install_whisper(lollmsElfServer)
+        ASCIIColors.success("Done")
+        lollmsElfServer.HideBlockingMessage()
+        return {"status":True}
+    except Exception as ex:
+        lollmsElfServer.HideBlockingMessage()
+        lollmsElfServer.InfoMessage(f"It looks like I could not install whisper because of this error:\n{ex}")
+        return {"status":False, 'error':str(ex)}

lollms/server/endpoints/lollms_xtts.py

@@ -0,0 +1,52 @@
+"""
+project: lollms_webui
+file: lollms_xtts.py 
+author: ParisNeo
+description: 
+    This module contains a set of FastAPI routes that provide information about the Lord of Large Language and Multimodal Systems (LoLLMs) Web UI
+    application. These routes allow users to 
+
+"""
+from fastapi import APIRouter, Request, UploadFile, File, HTTPException
+from fastapi.responses import PlainTextResponse
+from lollms_webui import LOLLMSWebUI
+from pydantic import BaseModel
+from starlette.responses import StreamingResponse
+from lollms.types import MSG_OPERATION_TYPE
+from lollms.main_config import BaseConfig
+from lollms.utilities import find_next_available_filename, output_file_path_to_url, detect_antiprompt, remove_text_from_string, trace_exception, find_first_available_file_index, add_period, PackageManager
+from lollms.security import sanitize_path, validate_path, check_access
+from pathlib import Path
+from ascii_colors import ASCIIColors
+import os
+import platform
+
+# ----------------------- Defining router and main class ------------------------------
+
+router = APIRouter()
+lollmsElfServer:LOLLMSWebUI = LOLLMSWebUI.get_instance()
+
+class Identification(BaseModel):
+    client_id: str
+
+# ----------------------- voice ------------------------------
+@router.post("/install_xtts")
+def install_xtts(data: Identification):
+    check_access(lollmsElfServer, data.client_id)
+    try:
+        if lollmsElfServer.config.headless_server_mode:
+            return {"status":False,"error":"Service installation is blocked when in headless mode for obvious security reasons!"}
+
+        if lollmsElfServer.config.host!="localhost" and lollmsElfServer.config.host!="127.0.0.1":
+            return {"status":False,"error":"Service installation is blocked when the server is exposed outside for very obvious reasons!"}
+
+        lollmsElfServer.ShowBlockingMessage("Installing XTTS library\nPlease stand by")
+        from lollms.services.tts.xtts.lollms_xtts import xtts_install
+        xtts_install(lollmsElfServer)
+        ASCIIColors.success("Done")
+        lollmsElfServer.HideBlockingMessage()
+        return {"status":True}
+    except Exception as ex:
+        lollmsElfServer.HideBlockingMessage()
+        lollmsElfServer.InfoMessage(f"It looks like I could not install XTT because of this error:\n{ex}")
+        return {"status":False, 'error':str(ex)}

lollms/services/stt/whisper/lollms_whisper.py

@@ -17,17 +17,22 @@
 from ascii_colors import ASCIIColors, trace_exception
 from lollms.paths import LollmsPaths
 import subprocess
-
+import pipmaster as pm
 try:
-    if not PackageManager.check_package_installed("whisper"):
-        PackageManager.install_package("openai-whisper")
+    if not pm.is_installed("openai-whisper"):
+        pm.install("openai-whisper")
         try:
             install_conda_package("conda-forge::ffmpeg")
         except Exception as ex:
             trace_exception(ex)
             ASCIIColors.red("Couldn't install ffmpeg")
 except:
-        PackageManager.install_package("git+https://github.com/openai/whisper.git")
+        try:
+            install_conda_package("conda-forge::ffmpeg")
+        except Exception as ex:
+            trace_exception(ex)
+            ASCIIColors.red("Couldn't install ffmpeg")
+        pm.install("git+https://github.com/openai/whisper.git")
 
 
 import whisper
@@ -41,12 +46,20 @@ def __init__(
                     output_path=None
                     ):
         super().__init__("whisper",app, model, output_path)
-        self.whisper = whisper.load_model(model)
+        try:
+            self.whisper = whisper.load_model(model)
+        except:
+            ASCIIColors.red("Couldn't load whisper model!\nWhisper will be disabled")
+            self.whisper = None
         self.ready = True
 
     def transcribe(
                 self,
                 wave_path: str|Path
                 )->str:
-        result = self.whisper.transcribe(str(wave_path))
-        return result["text"]
+        if self.whisper:
+            result = self.whisper.transcribe(str(wave_path))
+            return result["text"]
+        else:
+            ASCIIColors.error("Whisper is broken")
+            return ""

lollms/services/tts/xtts/lollms_xtts.py

@@ -34,6 +34,7 @@
 import time
 from queue import Queue
 import re
+import pipmaster as pm
 
 # List of common sampling rates
 common_sampling_rates = [8000, 11025, 16000, 22050, 32000, 44100, 48000, 96000, 192000]
@@ -42,6 +43,9 @@
 def closest_sampling_rate(freq, common_rates):
     return min(common_rates, key=lambda x: abs(x - freq))
 
+def xtts_install():
+    pm.install_or_update("tts", force_reinstall=True)
+
 class LollmsXTTS(LollmsTTS):
     def __init__(self, app: LollmsApplication, voices_folders: List[str|Path], freq = 22050):
         super().__init__("lollms_xtts", app)

tests/endoints_unit_tests/components_test/whisper_test.py

@@ -0,0 +1,21 @@
+# Title LollmsWhisper
+# Licence: MIT
+# Author : Paris Neo
+# 
+
+from pathlib import Path
+import whisper
+
+
+if __name__ == "__main__":
+    # Create a mock LollmsApplication instance
+    w = whisper.load_model("small")
+    # Example usage
+    audio_file_path = Path(r"E:\lollms\custom_voices\ParisNeo_Original_voice.wav")
+
+    if audio_file_path.exists():
+        transcription = w.transcribe(str(audio_file_path))
+        print("Transcription:")
+        print(transcription)
+    else:
+        print(f"Audio file not found: {audio_file_path}")