Update app.py

app.py

@@ -11,32 +11,25 @@ tavily_api_key = st.secrets["TAVILY_API_KEY"]
 nest_asyncio.apply()
 
 # Constants
-REPORT_TYPE = "research_report"  # Assuming this remains constant; modify as needed
-
+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("GPT Research Report Generator")
+st.title("Google Leak Reporting Tool")
 
-# User inputs
+# 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.",
+    "Extract all the information about how the ranking for internal links works."
 )
-report_type = st.selectbox(
-    "Select report type:",
-    options=["research_report", "summary", "detailed_analysis"],
-    index=0,
-)
-sources = st.text_area("Enter source URLs (one per line if multiple):")
-
-# Processing the sources input into a list
-source_urls = [url.strip() for url in sources.split("\n") if url.strip()]
 
 # Button to generate report
 if st.button("Generate Report"):
@@ -44,10 +37,8 @@ if st.button("Generate Report"):
         st.warning("Please enter a query to generate a report.")
     else:
         with st.spinner("Generating report..."):
-            # Fetch the report asynchronously
-            fetch_report_coroutine = fetch_report(
-                query, report_type, source_urls if source_urls else None
-            )
+            # 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)