Update app.py

app.py

@@ -6,8 +6,6 @@ from dotenv import load_dotenv
 from langchain_groq import ChatGroq
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
-from transformers import BarkModel, AutoProcessor, AutoModelForTextToWaveform, pipeline
-import scipy
 
 load_dotenv()
 client = Groq(api_key=os.getenv('GROQ_API_KEY'))
@@ -70,9 +68,4 @@ def answer(user_question):
     answer = chain.invoke({'question': user_question})
     return answer
 
-synthesiser = pipeline("text-to-speech", "suno/bark")
-
-speech = synthesiser("Hello, my dog is cooler than you!", forward_params={"do_sample": True})
-
-scipy.io.wavfile.write("bark_out.wav", rate=speech["sampling_rate"], data=speech["audio"])
 frontend()