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import streamlit as st
import requests
from pydub import AudioSegment
from pydub.playback import play
from io import BytesIO
import os
from gtts import gTTS
import speech_recognition as sr
from groq import Groq
import tempfile
# Set up Groq API
groq_api_key = os.getenv("GROQ_API_KEY")
client = Groq(api_key=groq_api_key)
def process_text(text):
# Use Groq to generate a response
try:
chat_completion = client.chat.completions.create(
messages=[
{"role": "user", "content": text}
],
model="llama3-8b-8192",
)
return chat_completion.choices[0].message.content
except Exception as e:
return f"Error fetching Groq data: {e}"
def text_to_speech(text, lang='ur'):
# Convert text to speech
tts = gTTS(text=text, lang=lang)
audio_file = BytesIO()
tts.write_to_fp(audio_file)
audio_file.seek(0)
return audio_file
def audio_to_text(audio_file):
# Convert audio to text
recognizer = sr.Recognizer()
with tempfile.NamedTemporaryFile(delete=False) as temp_file:
temp_file.write(audio_file.read())
temp_file.seek(0)
with sr.AudioFile(temp_file.name) as source:
audio_data = recognizer.record(source)
try:
text = recognizer.recognize_google(audio_data, language='ur')
return text
except sr.UnknownValueError:
return "Could not understand audio"
except sr.RequestError as e:
return f"Could not request results; {e}"
# Streamlit UI
st.title("Urdu Voice Assistant")
mode = st.radio("Choose input method", ("Real-time Voice", "Upload Voice File"))
if mode == "Real-time Voice":
st.write("Click the button and start speaking.")
if st.button("Start Recording"):
st.write("Recording... Please wait.")
recognizer = sr.Recognizer()
with sr.Microphone() as source:
audio_data = recognizer.listen(source)
st.write("Processing...")
try:
text = recognizer.recognize_google(audio_data, language='ur')
st.write(f"You said: {text}")
# Get response from Groq
response_text = process_text(text)
st.write(f"Response: {response_text}")
# Convert response to audio
audio_file = text_to_speech(response_text)
st.audio(audio_file, format='audio/mp3')
except sr.UnknownValueError:
st.write("Sorry, could not understand the audio.")
except sr.RequestError as e:
st.write(f"Sorry, there was an error with the request: {e}")
elif mode == "Upload Voice File":
uploaded_file = st.file_uploader("Upload an audio file", type=["wav", "mp3"])
if uploaded_file:
st.write("Processing...")
# Convert uploaded file to WAV format if needed
if uploaded_file.type == "audio/mpeg":
audio = AudioSegment.from_mp3(uploaded_file)
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_file:
audio.export(temp_file.name, format="wav")
with open(temp_file.name, "rb") as temp_file_content:
text = audio_to_text(temp_file_content)
else:
text = audio_to_text(uploaded_file)
st.write(f"Transcribed Text: {text}")
# Get response from Groq
response_text = process_text(text)
st.write(f"Response: {response_text}")
# Convert response to audio
audio_file = text_to_speech(response_text)
st.audio(audio_file, format='audio/mp3')
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