Spaces:
Sleeping
Sleeping
File size: 1,833 Bytes
174ff8b 3abfacf d8f8bab be711a6 f190cd2 be711a6 f190cd2 be711a6 f190cd2 be711a6 f190cd2 3abfacf f190cd2 |
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 |
import yaml
import os
from smolagents import GradioUI, CodeAgent, LiteLLMModel
# Get current directory path
CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
from tools.web_search import DuckDuckGoSearchTool as WebSearch
from tools.find_best_catering_service import SimpleTool as FindBestCateringService
from tools.suggest_menu import SimpleTool as SuggestMenu
from tools.visit_webpage import VisitWebpageTool as VisitWebpage
from tools.final_answer import FinalAnswerTool as FinalAnswer
model = LiteLLMModel(
max_tokens=8192,
model_id='gemini/gemini-2.0-flash',
api_base=None,
)
web_search = WebSearch()
find_best_catering_service = FindBestCateringService()
suggest_menu = SuggestMenu()
visit_webpage = VisitWebpage()
final_answer = FinalAnswer()
with open(os.path.join(CURRENT_DIR, "prompts.yaml"), 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
tools=[web_search, find_best_catering_service, suggest_menu, visit_webpage],
managed_agents=[],
max_steps=10,
verbosity_level=2,
grammar=None,
planning_interval=None,
name=None,
description=None,
executor_type='local',
executor_kwargs={},
max_print_outputs_length=None,
prompt_templates=prompt_templates
)
import gradio as gr
import gradio as gr
def agent_response(user_input):
return agent.run(user_input)
with gr.Blocks() as demo:
gr.Markdown("# 🎩 Band Baaja Bot - Your Wedding Assistant! 💍")
user_input = gr.Textbox(label="Your Request", placeholder="Ask me anything about wedding planning...")
submit = gr.Button("Submit") # Submit button below the input box
output = gr.Textbox(label="Agent Response") # Output space below the button
submit.click(agent_response, inputs=user_input, outputs=output)
demo.launch()
|