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import streamlit as st
import speech_recognition as sr
import pyttsx3
import requests
# Set your Mistral API key
MISTRAL_API_KEY = "PdUU4XtVP6juMrwpHtBYC4tbv49hjCJg"
MISTRAL_API_URL = "https://api.mistral.ai/v1/chat/completions"
# Predefined responses
predefined_responses = {
"What should we know about your life story in a few sentences":
"I have a background in Computer Science with a passion for AI and Machine Learning. I've worked on projects in NLP and Computer Vision, and I'm constantly learning and growing in this space.",
"What’s your number one superpower":
"My #1 superpower is adaptability. I can quickly learn new concepts, adapt to different work environments, and solve complex problems effectively.",
"What are the top three areas you would like to grow in":
"I’d like to improve my expertise in large-scale AI model deployment, learn more about reinforcement learning, and enhance my leadership skills in AI teams.",
"What misconception do your coworkers have about you":
"A common misconception is that I prefer working alone. In reality, I enjoy teamwork and collaborating to solve problems efficiently.",
"How do you push your boundaries and limits":
"I challenge myself by taking on new, difficult projects and setting ambitious learning goals. I also stay updated with the latest advancements in AI and actively contribute to open-source projects."
}
def speech_to_text():
"""Convert speech to text using SpeechRecognition"""
recognizer = sr.Recognizer()
with sr.Microphone() as source:
st.info("Listening...")
recognizer.adjust_for_ambient_noise(source)
audio = recognizer.listen(source)
try:
text = recognizer.recognize_google(audio)
st.success(f"You said: {text}")
return text
except sr.UnknownValueError:
st.error("Sorry, I couldn't understand the audio.")
return None
except sr.RequestError:
st.error("Could not request results, please check your internet connection.")
return None
def get_response(user_input):
"""Get bot response from predefined answers or Mistral API"""
user_input = user_input.lower().strip()
for question, response in predefined_responses.items():
if question.lower().strip() == user_input:
return response
headers = {"Authorization": f"Bearer {MISTRAL_API_KEY}", "Content-Type": "application/json"}
data = {"model": "mistral-tiny", "messages": [{"role": "user", "content": user_input}]}
response = requests.post(MISTRAL_API_URL, headers=headers, json=data)
if response.status_code == 200:
return response.json()["choices"][0]["message"]["content"]
else:
return "Error: Unable to fetch response from Mistral API."
def text_to_speech(response_text):
"""Speak the response synchronously"""
engine = pyttsx3.init()
engine.setProperty('rate', 150)
engine.say(response_text)
engine.runAndWait()
# Streamlit UI
st.title("🎤 AI Voice Bot")
st.write("Click the button below and speak.")
if "conversation" not in st.session_state:
st.session_state.conversation = []
if st.button("Speak Now"):
user_input = speech_to_text()
if user_input:
bot_response = get_response(user_input)
st.session_state.conversation.append(("You", user_input))
st.session_state.conversation.append(("Bot", bot_response))
for speaker, message in st.session_state.conversation:
st.subheader(f"**{speaker}:**")
st.write(message)
# Speak the response
text_to_speech(bot_response)
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