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import streamlit as st
import sys
import os
import json
from src.config import cerebras_llm
from src.crew import create_crew # Assuming you have a function that creates the crew setup
# Ensure the src folder is part of the Python path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), 'src')))
# Function to run the entire crew
def run_crew(product_name, country, model_name):
# Create the crew with agents and tasks
event_management_crew = create_crew(product_name, country, model_name)
# Format the input for the crew
event_details = {'product': product_name, 'country': country, 'model': model_name}
# Execute Crew (this will run all the tasks)
event_analysis = event_management_crew.kickoff(inputs=event_details)
return event_analysis
# Function to clean the output and remove unwanted fields
def clean_output(output):
if isinstance(output, dict):
output = json.dumps(output, indent=4)
output = output.replace('"pydantic":null,', '')
output = output.replace('"json_dict":null,', '')
output = output.replace('"tasks_output":[]', '')
output = output.replace('"token_usage":', '')
return output
return output
# Streamlit Page Config
st.set_page_config(page_title="AI Price Comparator", page_icon="π", layout="wide")
# Initialize session states for history and reports
if 'history' not in st.session_state:
st.session_state.history = []
if 'reports' not in st.session_state:
st.session_state.reports = {}
# Sidebar for API Key Uploads, History, and Model Selection
with st.sidebar:
st.header("π **API Keys**")
cerebras_api_key = st.text_input("π§ Cerebras API Key", type="password")
serper_api_key = st.text_input("π Serper API Key", type="password")
# Model Selection
# Sidebar Model Selection
st.header("π§ **Select Model**")
model_name = st.selectbox(
"Choose a Model",
["cerebras/llama-3.1-8b", "cerebras/llama-3.3-70b", "cerebras/deepseek-r1-distill-llama-70b"]
)
# History Tab
st.header("π **Search History**")
if st.session_state.history:
for idx, search in enumerate(st.session_state.history):
if st.button(f"π {search['product_name']} in {search['country']}", key=f"search_{idx}"):
st.session_state.selected_search = search # Store selected search
st.rerun()
else:
st.write("No previous searches yet.")
# **Main UI**
st.markdown("## π **Welcome to the Price Comparison Tool!** π")
st.write("Enter the product details below to compare prices across multiple platforms. π")
# **Inputs for product and country (always visible)**
selected_search = st.session_state.get('selected_search', {})
product_name = st.text_input(
"π‘ **Product Name**",
selected_search.get('product_name', "Sony WH-1000XM5")
)
country = st.text_input(
"π **Country**",
selected_search.get('country', "United States")
)
# **Button to compare prices**
if st.button("π **Compare Prices**", help="Click to analyze prices and get a detailed comparison"):
if product_name and country:
st.write(f"π **Analyzing prices for** **{product_name}** in **{country}**... π")
# Run the crew and get the results
event_analysis = run_crew(product_name, country, model_name)
# Clean the output and display the results
cleaned_output = clean_output(event_analysis)
st.subheader("π **Price Comparison Report**")
st.markdown(cleaned_output)
# Store the search and report
search_key = f"{product_name}_{country}"
search_data = {'product_name': product_name, 'country': country, 'model_name': model_name}
if search_data not in st.session_state.history:
st.session_state.history.append(search_data)
st.session_state.reports[search_key] = cleaned_output # Save the report
# Clear selected search after displaying results
st.session_state.selected_search = {'product_name': product_name, 'country': country}
else:
st.error("β Please enter both product name and country.")
# **Display saved report if a past search is selected**
search_key = f"{product_name}_{country}"
if search_key in st.session_state.reports:
st.subheader("π **Saved Price Comparison Report**")
st.markdown(st.session_state.reports[search_key])
# **Download Button for the Report**
# report_json = st.session_state.reports[search_key].encode('utf-8')
# st.download_button(
# label="π₯ Download Report",
# data=report_json,
# file_name=f"{search_key}.json",
# mime="application/json"
# ) |