Update Voice_Assistant.py

Voice_Assistant.py

@@ -1,7 +1,4 @@
 import speech_recognition as sr
-from transformers import pipeline
-from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC
-
 from langchain.llms import HuggingFacePipeline
 from langchain.chains import RetrievalQA
 from langchain.embeddings import HuggingFaceEmbeddings
@@ -24,18 +21,17 @@ documents = loader.load()
 # Open-source embedding model
 embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
 vectorstore = FAISS.from_documents(documents, embeddings)
-
-# Ollama Model
+ 
 ollama = Ollama(base_url='http://localhost:11434',model="llama3")
 qa = RetrievalQA.from_chain_type(llm=ollama, chain_type="stuff", retriever=vectorstore.as_retriever())
 
 # Speech recognition setup
 r = sr.Recognizer()
-
-# Initialize TTS with a model
+ 
 tts = TTS(model_name="tts_models/en/ljspeech/glow-tts")
+ 
+
 
-## Using Mozilla TTS (TTS)
 def speak(text):
     """
     Converts text to speech using Mozilla TTS, plays the audio, and then deletes the file.
@@ -95,4 +91,4 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+    main()