Ituria / app.py
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Update app.py
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import streamlit as st
from tantivy_search_agent import TantivySearchAgent
from agent_workflow import SearchAgent
import os
from typing import Optional, List
from dotenv import load_dotenv
import gdown
# Load environment variables
load_dotenv()
class SearchAgentUI:
def __init__(self):
self.tantivy_agent: Optional[TantivySearchAgent] = None
self.agent: Optional[SearchAgent] = None
self.index_path ="./index" # os.getenv("INDEX_PATH", "./index")
# Google Drive folder ID for the index
self.gdrive_index_id = os.getenv("GDRIVE_INDEX_ID", "1lpbBCPimwcNfC0VZOlQueA4SHNGIp5_t")
def download_index_from_gdrive(self) -> bool:
"""Download index folder from Google Drive"""
try:
# Create a temporary zip file path
zip_path = "index.zip"
# Download the folder as a zip file
url = f"https://drive.google.com/uc?id={self.gdrive_index_id}"
gdown.download(url, zip_path, quiet=False)
# Extract the zip file
import zipfile
with zipfile.ZipFile(zip_path, 'r') as zip_ref:
zip_ref.extractall(".")
except Exception as e:
st.error(f"Failed to download index: {str(e)}")
return False
def get_available_providers(self, api_keys: dict) -> List[str]:
"""Get available providers without creating a SearchAgent instance"""
temp_tantivy = TantivySearchAgent(self.index_path)
temp_agent = SearchAgent(temp_tantivy, api_keys=api_keys)
return temp_agent.get_available_providers()
def initialize_system(self, api_keys: dict):
try:
# Check if index folder exists
if not os.path.exists(self.index_path):
st.warning("Index folder not found. Attempting to download from Google Drive...")
if not self.download_index_from_gdrive():
return False, "שגיאה: לא ניתן להוריד את האינדקס", []
st.success("Index downloaded successfully!")
self.tantivy_agent = TantivySearchAgent(self.index_path)
if self.tantivy_agent.validate_index():
available_providers = self.get_available_providers(api_keys)
if not available_providers:
return False, "שגיאה: לא נמצאו ספקי AI זמינים. אנא הזן מפתח API אחד לפחות.", []
self.agent = SearchAgent(
self.tantivy_agent,
provider_name=st.session_state.get('provider', available_providers[0]),
api_keys=api_keys
)
return True, "המערכת מוכנה לחיפוש", available_providers
else:
return False, "שגיאה: אינדקס לא תקין", []
except Exception as ex:
return False, f"שגיאה באתחול המערכת: {str(ex)}", []
def main(self):
st.set_page_config(
page_title="איתוריא",
layout="wide",
initial_sidebar_state="expanded"
)
# Enhanced RTL support and styling
st.markdown("""
<style>
.stApp {
direction: rtl;
}
.stTextInput > div > div > input {
direction: rtl;
}
.stSelectbox > div > div > div {
direction: rtl;
}
.stNumberInput > div > div > input {
direction: rtl;
}
.search-step {
border: 1px solid #e0e0e0;
border-radius: 5px;
padding: 10px;
margin: 5px 0;
background-color: #f8f9fa;
}
.document-group {
border: 1px solid #e3f2fd;
border-radius: 5px;
padding: 10px;
margin: 5px 0;
background-color: #f5f9ff;
}
.document-item {
border: 1px solid #e0e0e0;
border-radius: 5px;
padding: 10px;
margin: 5px 0;
background-color: white;
}
[data-testid="stSidebar"] {
direction: rtl;
}
</style>
""", unsafe_allow_html=True)
st.session_state.api_keys = {
'google': "",
'openai': "",
'anthropic': ""
}
# Sidebar settings
with st.sidebar:
st.title("הגדרות")
# API Key Configuration
st.subheader("הגדרת מפתחות API")
# Google API Key
google_key = st.text_input(
"Google API Key",
value=st.session_state.api_keys['google'],
type="password",
key="google_key",
help="הזן את מפתח ה-API של Google Gemini "
)
st.session_state.api_keys['google'] = google_key
st.html('<small> ניתן להשיג מפתח <a href="https://aistudio.google.com/app/apikey">כאן</a> </small>', )
# OpenAI API Key
openai_key = st.text_input(
"OpenAI API Key",
value=st.session_state.api_keys['openai'],
type="password",
key="openai_key",
help="הזן את מפתח ה-API של OpenAI"
)
st.session_state.api_keys['openai'] = openai_key
st.html('<small> ניתן להשיג מפתח <a href="https://platform.openai.com/account/api-keys">כאן</a> </small> ', )
# Anthropic API Key
anthropic_key = st.text_input(
"Anthropic API Key",
value=st.session_state.api_keys['anthropic'],
type="password",
key="anthropic_key",
help="הזן את מפתח ה-API של Anthropic Claude"
)
st.session_state.api_keys['anthropic'] = anthropic_key
st.html('<small> ניתן להשיג מפתח <a href="https://console.anthropic.com/">כאן</a> </small>', )
st.markdown("---")
# Initialize system with current API keys
success, status_msg, available_providers = self.initialize_system(st.session_state.api_keys)
# Continue with sidebar settings
with st.sidebar:
if available_providers:
if 'provider' not in st.session_state or st.session_state.provider not in available_providers:
st.session_state.provider = available_providers[0] if available_providers else None
provider = st.selectbox(
"ספק בינה מלאכותית",
options=available_providers,
key='provider',
help="בחר את מודל הAI לשימוש (רק מודלים עם מפתח API זמין יוצגו)"
)
if self.agent:
self.agent.set_provider(provider)
max_iterations = st.number_input(
"מספר נסיונות מקסימלי",
min_value=1,
value=6,
key='max_iterations'
)
results_per_search = st.number_input(
"תוצאות לכל חיפוש",
min_value=1,
value=20,
key='results_per_search'
)
# Main content area
st.title("איתוריא")
st.markdown("""
איתוריא היא מערכת חיפוש תורנית רב שלבית מבוססת בינה מלאכותית. היא משתמשת במודל שפה כדי ליצור שאילתת חיפוש, לדרג את התוצאות, ולסכם את התשובה הסופית. החיפוש מתבצע על המאגר של [אוצריא](https://www.otzaria.org/).
""")
if success:
st.success(status_msg)
else:
st.error(status_msg)
# Search input
query = st.text_input(
"הכנס שאילתת חיפוש",
disabled=not success,
placeholder="הקלד את שאילתת החיפוש שלך כאן...",
key='search_query'
)
# Search button
if (st.button('חפש', disabled=not success) or query) and query!="" and self.agent:
try:
if 'steps' not in st.session_state:
st.session_state.steps = []
steps_container = st.container()
answer_container = st.container()
sources_container = st.container()
with steps_container:
st.subheader("צעדי תהליך החיפוש")
def handle_step_update(step):
if 'final_result' in step:
final_result = step['final_result']
with answer_container:
st.subheader("תשובה סופית")
st.info(final_result['answer'])
if final_result['sources']:
with sources_container:
st.subheader("מסמכי מקור")
st.markdown(f"נמצאו {len(final_result['sources'])} תוצאות")
for i, source in enumerate(final_result['sources']):
with st.expander(f"תוצאה {i+1}: {source['reference']} (ציון: {source['score']:.2f})"):
st.write(source['text'])
else:
with steps_container:
step_number = len(st.session_state.steps) + 1
st.markdown(f"""
<div class='search-step'>
<strong>צעד {step_number}. {step['action']}</strong>
</div>
""", unsafe_allow_html=True)
st.markdown(f"**{step['description']}**")
if 'results' in step:
documents = []
for r in step['results']:
if r['type'] == 'query':
st.markdown("**שאילתת חיפוש:**")
st.code(r['content'])
elif r['type'] == 'document':
documents.append(r['content'])
elif r['type'] == 'evaluation':
content = r['content']
status = "✓" if content['status'] == 'accepted' else "↻"
confidence = f"ביטחון: {content['confidence']}"
if content['status'] == 'accepted':
st.success(f"{status} {confidence}")
else:
st.warning(f"{status} {confidence}")
if content['explanation']:
st.info(content['explanation'])
elif r['type'] == 'new_query':
st.markdown("**ניסיון הבא:**")
st.code(r['content'])
# Display documents if any were found
if documents:
for i, doc in enumerate(documents):
with st.expander(f"{doc['reference']} (ציון: {doc['score']:.2f})"):
st.write(doc['highlights'][0])
st.markdown("---")
st.session_state.steps.append(step)
# Clear previous steps before starting new search
st.session_state.steps = []
# Start the search process
self.agent.search_and_answer(
query=query,
num_results=results_per_search,
max_iterations=max_iterations,
on_step=handle_step_update
)
except Exception as ex:
st.error(f"שגיאת חיפוש: {str(ex)}")
if __name__ == "__main__":
app = SearchAgentUI()
app.main()