Delete streamlit_app.py

streamlit_app.py

@@ -1,101 +0,0 @@
-import os
-import asyncio
-import sounddevice as sd
-import numpy as np
-import wave
-import pygame
-import streamlit as st
-from deepgram import Deepgram
-from groq import Groq
-from dotenv import load_dotenv
-from gtts import gTTS
-
-# Load API keys from .env file
-load_dotenv()
-DEEPGRAM_API_KEY = os.getenv("DEEPGRAM_API_KEY")
-GROQ_API_KEY = os.getenv("GROQ_API_KEY")
-
-if not DEEPGRAM_API_KEY or not GROQ_API_KEY:
-    raise ValueError("API keys for Deepgram and Groq must be set in the .env file")
-
-# Initialize Deepgram and Groq clients
-dg_client = Deepgram(DEEPGRAM_API_KEY)
-groq_client = Groq(api_key=GROQ_API_KEY)
-
-# Audio recording parameters
-DURATION = 5 # seconds
-SAMPLERATE = 16000
-FILENAME = "output.wav"
-RESPONSE_AUDIO = "response.mp3"
-
-async def recognize_audio_deepgram(filename):
-    with open(filename, 'rb') as audio:
-        source = {'buffer': audio.read(), 'mimetype': 'audio/wav'}
-        response = await dg_client.transcription.prerecorded(source, {'punctuate': True, 'language': 'en-US'})
-        return response['results']['channels'][0]['alternatives'][0]['transcript']
-
-def record_audio(filename, duration, samplerate):
-    st.write("Recording🔉...")
-    audio_data = sd.rec(int(duration * samplerate), samplerate=samplerate, channels=1, dtype=np.int16)
-    sd.wait()  # Wait until recording is finished
-    wavefile = wave.open(filename, 'wb')
-    wavefile.setnchannels(1)
-    wavefile.setsampwidth(2)
-    wavefile.setframerate(samplerate)
-    wavefile.writeframes(audio_data.tobytes())
-    wavefile.close()
-    st.write("Recording finished🔴.")
-
-def generate_response(prompt):
-    response = groq_client.chat.completions.create(
-        model="llama3-8b-8192",
-        messages=[
-            {"role": "system", "content": "You are a helpful assistant."},
-            {"role": "user", "content": prompt}
-        ],
-        temperature=0.29,
-        max_tokens=100,
-        top_p=1,
-        stream=False,
-        stop=None,
-    )
-    return response.choices[0].message.content.strip()
-
-def play_response(text):
-    tts = gTTS(text=text, lang='en')
-    tts.save(RESPONSE_AUDIO)
-    pygame.mixer.init()
-    pygame.mixer.music.load(RESPONSE_AUDIO)
-    pygame.mixer.music.play()
-    while pygame.mixer.music.get_busy():
-        pygame.time.Clock().tick(10)
-    pygame.mixer.quit()
-    os.remove(RESPONSE_AUDIO)  # Clean up the response audio file
-
-async def main():
-    stop_keywords = {"thank you", "goodbye", "exit"}
-
-    while True:
-        record_audio(FILENAME, DURATION, SAMPLERATE)
-        user_input = await recognize_audio_deepgram(FILENAME)
-        st.write(f"User: {user_input}")
-
-        if any(keyword in user_input.lower() for keyword in stop_keywords):
-            st.write("Conversation ended.")
-            play_response("Goodbye! Have a great day!")
-            break
-
-        response = generate_response(user_input)
-        st.write(f"Bot: {response}")
-        play_response(response)
-        os.remove(FILENAME)  # Clean up the audio file
-
-# Streamlit UI
-def run_streamlit_app():
-    st.title("Voice Chatbot🔊")
-
-    if st.button("Start Conversation"):
-        asyncio.run(main())
-
-if __name__ == "__main__":
-    run_streamlit_app()