app.py

import streamlit as st
from gpt_researcher import GPTResearcher
import asyncio
import nest_asyncio

# Access secrets
openai_api_key = st.secrets["OPENAI_API_KEY"]
tavily_api_key = st.secrets["TAVILY_API_KEY"]

# Apply the asyncio patch from nest_asyncio if required
nest_asyncio.apply()

# Constants
REPORT_TYPE = "research_report"  # Fixed report type
PREDEFINED_SOURCES = [
    "https://hexdocs.pm/google_api_content_warehouse/",
    "https://ipullrank.com/google-algo-leak"
]

# Function to handle asynchronous calls
def run_async(coroutine):
    loop = asyncio.get_event_loop()
    return loop.run_until_complete(coroutine)

# Streamlit interface
st.title("Google Leak Reporting Tool")

# User input for the query
query = st.text_input(
    "Enter your research query:",
    "Extract all the information about how the ranking for internal links works."
)

# Button to generate report
if st.button("Generate Report"):
    if not query:
        st.warning("Please enter a query to generate a report.")
    else:
        with st.spinner("Generating report..."):
            # Fetch the report asynchronously using predefined sources and fixed report type
            fetch_report_coroutine = fetch_report(query, REPORT_TYPE, PREDEFINED_SOURCES)
            report = run_async(fetch_report_coroutine)
            st.success("Report generated successfully!")
            st.write(report)