Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -3,9 +3,8 @@ from gpt_researcher import GPTResearcher
|
|
3 |
import asyncio
|
4 |
import nest_asyncio
|
5 |
import os
|
6 |
-
from
|
7 |
-
|
8 |
-
import sys
|
9 |
|
10 |
# Access secrets
|
11 |
openai_api_key = st.secrets["OPENAI_API_KEY"]
|
@@ -20,18 +19,15 @@ os.environ["DOC_PATH"] = "./local" # Path to the folder with documents
|
|
20 |
# Constants
|
21 |
REPORT_TYPE = "research_report"
|
22 |
|
23 |
-
|
24 |
-
#
|
25 |
-
def run_async(coroutine):
|
26 |
-
loop = asyncio.get_event_loop()
|
27 |
-
return loop.run_until_complete(coroutine)
|
28 |
|
29 |
|
30 |
# Define the asynchronous function to fetch the report
|
31 |
async def fetch_report(query, report_type):
|
32 |
"""
|
33 |
Fetch a research report based on the provided query and report type.
|
34 |
-
Research is conducted on a local document.
|
35 |
"""
|
36 |
try:
|
37 |
researcher = GPTResearcher(
|
@@ -43,6 +39,13 @@ async def fetch_report(query, report_type):
|
|
43 |
return f"Error during research: {str(e)}"
|
44 |
|
45 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
46 |
# Streamlit interface
|
47 |
st.title("Google Leak Reporting Tool")
|
48 |
|
@@ -59,7 +62,10 @@ if st.button("Generate Report"):
|
|
59 |
st.warning("Please enter a query to generate a report.")
|
60 |
else:
|
61 |
with st.spinner("Generating report..."):
|
62 |
-
|
|
|
|
|
|
|
63 |
# Display the report or error message
|
64 |
if report and not report.startswith("Error"):
|
65 |
st.success("Report generated successfully!")
|
@@ -72,4 +78,4 @@ if st.button("Generate Report"):
|
|
72 |
mime="text/plain",
|
73 |
)
|
74 |
else:
|
75 |
-
st.error(report) # Show the error message if any
|
|
|
3 |
import asyncio
|
4 |
import nest_asyncio
|
5 |
import os
|
6 |
+
from concurrent.futures import ThreadPoolExecutor
|
7 |
+
import threading
|
|
|
8 |
|
9 |
# Access secrets
|
10 |
openai_api_key = st.secrets["OPENAI_API_KEY"]
|
|
|
19 |
# Constants
|
20 |
REPORT_TYPE = "research_report"
|
21 |
|
22 |
+
# ThreadPoolExecutor to handle asynchronous tasks
|
23 |
+
executor = ThreadPoolExecutor(max_workers=4) # Adjust the number of workers as needed
|
|
|
|
|
|
|
24 |
|
25 |
|
26 |
# Define the asynchronous function to fetch the report
|
27 |
async def fetch_report(query, report_type):
|
28 |
"""
|
29 |
Fetch a research report based on the provided query and report type.
|
30 |
+
Research is conducted on a local document related to Google Search Algorithm Leak.
|
31 |
"""
|
32 |
try:
|
33 |
researcher = GPTResearcher(
|
|
|
39 |
return f"Error during research: {str(e)}"
|
40 |
|
41 |
|
42 |
+
# Function to run the asynchronous function in a separate thread
|
43 |
+
def run_async(coroutine):
|
44 |
+
loop = asyncio.new_event_loop()
|
45 |
+
asyncio.set_event_loop(loop)
|
46 |
+
return loop.run_until_complete(coroutine)
|
47 |
+
|
48 |
+
|
49 |
# Streamlit interface
|
50 |
st.title("Google Leak Reporting Tool")
|
51 |
|
|
|
62 |
st.warning("Please enter a query to generate a report.")
|
63 |
else:
|
64 |
with st.spinner("Generating report..."):
|
65 |
+
# Submit the task to the ThreadPoolExecutor
|
66 |
+
future = executor.submit(run_async, fetch_report(query, REPORT_TYPE))
|
67 |
+
# Wait for the result
|
68 |
+
report = future.result()
|
69 |
# Display the report or error message
|
70 |
if report and not report.startswith("Error"):
|
71 |
st.success("Report generated successfully!")
|
|
|
78 |
mime="text/plain",
|
79 |
)
|
80 |
else:
|
81 |
+
st.error(report) # Show the error message if any
|