Spaces:
Configuration error
Configuration error
File size: 6,499 Bytes
1f5d4e5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 |
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) |