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.env

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+DEEPGRAM_API_KEY="f5984a104dec71de1e6a2cc10cd3242cedccfe10"
+#OPENAI_API_KEY="sk-proj-DPCl3xqekKXbqesokl5JT3BlbkFJfNvUT163z04Y8AUFd89"
+GROQ_API_KEY="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"

.env.sample

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+DEEPGRAM_API_KEY=""
+GROQ_API_KEY=""

Voice_Deepgram.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0cdab898b9816a1729ab14ff156c32d737c08edb08ee6cfd2792a76484935a21
+size 564225

app.py

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+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()

requirements.txt

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+deepgram
+gtts
+groq
+numpy
+pygame
+python-dotenv
+sounddevice
+streamlit