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import streamlit as st
from elevenlabs import generate, set_api_key, Voice
import google.generativeai as genai
from datetime import datetime
import os
from PIL import Image
from dotenv import load_dotenv
import sys
from pathlib import Path
# Add the root directory to Python path
root_dir = Path(__file__).parent.parent
sys.path.append(str(root_dir))
from config import MENTORS
# Load environment variables
load_dotenv()
# Configure APIs
set_api_key(os.getenv('ELEVEN_LABS_API_KEY'))
genai.configure(api_key=os.getenv('GOOGLE_API_KEY'))
def load_mentor_image(mentor_name):
"""Load mentor image from path"""
try:
image_path = os.path.join(root_dir, MENTORS[mentor_name]["image"])
return Image.open(image_path)
except Exception as e:
st.error(f"Error loading image: {str(e)}")
return None
def get_ai_response(mentor, message, conversation_history):
"""Get AI response using Gemini"""
try:
model = genai.GenerativeModel('gemini-pro')
prompt = f"{MENTORS[mentor]['prompt']}\n\nPrevious conversation:\n{conversation_history}\n\nUser: {message}\nYou:"
response = model.generate_content(prompt)
return response.text
except Exception as e:
st.error(f"Error generating response: {str(e)}")
return "Sorry bestie, I'm having a moment! Let's try again? ✨"
def get_voice_response(text, mentor):
"""Generate voice response using ElevenLabs"""
try:
# Debug print to check voice ID
print(f"Using voice ID for {mentor}: {MENTORS[mentor]['voice_id']}")
# Generate audio with direct voice ID
audio = generate(
text=text,
voice=MENTORS[mentor]["voice_id"], # Use voice ID directly
model="eleven_monolingual_v1" # Specify model explicitly
)
if audio:
print(f"Successfully generated voice for {mentor}")
return audio
else:
st.error(f"No audio generated for {mentor}")
return None
except Exception as e:
st.error(f"Error generating voice for {mentor}: {str(e)}")
print(f"Voice generation error details: {str(e)}")
return None
def show_page():
st.title("👑 She Legends")
st.write("Spill the tea with your fave mentors! They've been through it all and are here to share their wisdom!")
# Initialize session states
if 'messages' not in st.session_state:
st.session_state.messages = []
if 'current_mentor' not in st.session_state:
st.session_state.current_mentor = None
col1, col2 = st.columns([1, 2])
with col1:
st.markdown("### Choose Your Mentor ✨")
for mentor in MENTORS:
if st.button(
f"{mentor}\n{MENTORS[mentor]['role']}",
key=f"select_{mentor}",
use_container_width=True
):
st.session_state.current_mentor = mentor
st.session_state.messages = []
st.rerun()
with col2:
if st.session_state.current_mentor:
mentor = st.session_state.current_mentor
mentor_info = MENTORS[mentor]
# Display mentor card with image
col_img, col_info = st.columns([1, 2])
with col_img:
image = load_mentor_image(mentor)
if image:
st.image(image, use_container_width=True)
with col_info:
st.markdown(f"""
<div style='background-color: {mentor_info["background"]}; padding: 20px; border-radius: 15px;'>
<h2>{mentor}</h2>
<p><strong>{mentor_info['role']}</strong></p>
<p><em>"{mentor_info['quote']}"</em></p>
<p>{mentor_info['description']}</p>
</div>
""", unsafe_allow_html=True)
# Chat interface
st.markdown("### 💭 Chat Space")
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.write(message["content"])
if message["role"] == "assistant" and "audio" in message:
st.audio(message["audio"])
# Chat input
user_message = st.chat_input(f"Ask {mentor} anything...")
if user_message:
# Add user message
st.session_state.messages.append({
"role": "user",
"content": user_message,
"timestamp": datetime.now().strftime("%I:%M %p")
})
# Get AI response
conversation_history = "\n".join([
f"{'User' if m['role']=='user' else 'You'}: {m['content']}"
for m in st.session_state.messages[-5:]
])
ai_response = get_ai_response(mentor, user_message, conversation_history)
audio = get_voice_response(ai_response, mentor)
# Add mentor response
st.session_state.messages.append({
"role": "assistant",
"content": ai_response,
"audio": audio,
"timestamp": datetime.now().strftime("%I:%M %p")
})
st.rerun()
else:
st.markdown("""
### Hey Bestie! 👋
Choose your fave mentor from the left to start chatting!
Each queen brings their own unique vibe and wisdom! ✨
""")
# Preview all mentors with images
for mentor, info in MENTORS.items():
col_img, col_info = st.columns([1, 3])
with col_img:
image = load_mentor_image(mentor)
if image:
st.image(image, use_container_width=True)
with col_info:
st.markdown(f"""
<div style='background-color: {info["background"]}40; padding: 20px; border-radius: 15px;'>
<h3>{mentor}</h3>
<p>{info['role']}</p>
<p><em>"{info['quote']}"</em></p>
</div>
""", unsafe_allow_html=True) |