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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=10,
key='results_per_search'
)
# Main content area
st.title("איתוריא")
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()
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