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import streamlit as st
from audio_recorder_streamlit import audio_recorder
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny")
recorded_audio = audio_recorder()
if recorded_audio:
audio_file = "audio.mp3"
with open(audio_file,"wb") as f:
f.write(recorded_audio)
if recorded_audio:
out = pipe(audio_file)
transcribed_text = out['text']
st.write(transcribed_text)
messages = [
{"role": "user", "content": transcribed_text},
]
out2 = pipe2(messages)
text = st.text_area("enter some text")
messages = [
{"role": "user", "content": text},
]
pipe2 = pipeline("text-generation", model="Cognitive-Lab/LLama3-Gaja-Hindi-8B-v0.1")
out2 = pipe2(messages)
st.write(out2)
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