Spaces:
Sleeping
Sleeping
File size: 2,348 Bytes
fc12014 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
import gradio as gr
import markdown
from main import run
# Create Gradio interface
def create_interface():
with gr.Blocks(title="Tech News Agent", theme=gr.themes.Soft()) as app:
with gr.Column(scale=1):
gr.Markdown(
"""
# 📝 Tech News Agent
This Agent will search, scrap and give comprehensive output about current Tech Update.
"""
)
# Input for Field/Topic
field = gr.Textbox(
label="Field",
placeholder="Your desired Field/Topic"
)
# Note for Field
field_note = gr.Accordion("Note for Field", open=False)
with field_note:
gr.Markdown(
"""
Choose a specific area you're interested in. Must Related to Tech, like AI,Software Dev,Hardware,ect.
"""
)
# Input for Since
since = gr.Textbox(
label="Since",
placeholder="Number of days since the update (e.g., 5)"
)
# Note for Since
since_note = gr.Accordion("Note for Since", open=False)
with since_note:
gr.Markdown(
"""
Enter the number of days ago you want updates from.
- **Example**: If you put "5," the agent will look for updates from the past 5 days.
- **Important**: If AI Can't find any info from the "since" day, it will look for the most recents news.
"""
)
submit_btn = gr.Button(
"Evaluate Responses",
variant="primary",
size="lg"
)
# Using Textbox instead of Markdown for better formatting
output = gr.Markdown(
label="Evaluation Results",
show_copy_button=True
)
submit_btn.click(
fn=run,
inputs=[field,since],
outputs=output
)
return app
if __name__ == "__main__":
app = create_interface()
app.launch(share=True) |