Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
-
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
|
| 2 |
import datetime
|
| 3 |
import requests
|
| 4 |
import pytz
|
|
@@ -6,84 +6,63 @@ import yaml
|
|
| 6 |
from tools.final_answer import FinalAnswerTool
|
| 7 |
from langchain.text_splitter import CharacterTextSplitter
|
| 8 |
from typing import List
|
| 9 |
-
|
| 10 |
from Gradio_UI import GradioUI
|
| 11 |
|
| 12 |
-
# Below is an example of a tool that does nothing. Amaze us with your creativity !
|
| 13 |
@tool
|
| 14 |
-
def web_search(query:str) -> str:
|
| 15 |
-
"""
|
| 16 |
-
Args:
|
| 17 |
-
query: what you want to search
|
| 18 |
-
"""
|
| 19 |
search_tool = DuckDuckGoSearchTool()
|
| 20 |
-
results = search_tool(query)
|
| 21 |
return "\n".join(results)
|
| 22 |
|
| 23 |
-
@tool
|
| 24 |
-
def get_current_time_in_timezone(timezone: str) -> str:
|
| 25 |
-
"""A tool that fetches the current local time in a specified timezone.
|
| 26 |
-
Args:
|
| 27 |
-
timezone: A string representing a valid timezone (e.g., 'America/New_York').
|
| 28 |
-
"""
|
| 29 |
-
try:
|
| 30 |
-
# Create timezone object
|
| 31 |
-
tz = pytz.timezone(timezone)
|
| 32 |
-
# Get current time in that timezone
|
| 33 |
-
local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
|
| 34 |
-
return f"The current local time in {timezone} is: {local_time}"
|
| 35 |
-
except Exception as e:
|
| 36 |
-
return f"Error fetching time for timezone '{timezone}': {str(e)}"
|
| 37 |
-
|
| 38 |
@tool
|
| 39 |
def visit_webpage(url: str) -> str:
|
| 40 |
-
"""Fetches
|
| 41 |
-
Args:
|
| 42 |
-
url: The url of the webpage"""
|
| 43 |
try:
|
| 44 |
response = requests.get(url, timeout=5)
|
| 45 |
-
return response.text[:5000]
|
| 46 |
except Exception as e:
|
| 47 |
return f"[ERROR fetching {url}]: {str(e)}"
|
| 48 |
|
| 49 |
@tool
|
| 50 |
def text_splitter(text: str) -> List[str]:
|
| 51 |
-
"""
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
"""
|
| 55 |
-
c_splitter = CharacterTextSplitter(
|
| 56 |
-
chunk_size=450,
|
| 57 |
-
chunk_overlap=10
|
| 58 |
-
)
|
| 59 |
-
split_text = c_splitter.split_text(text)
|
| 60 |
-
return split_text
|
| 61 |
-
#
|
| 62 |
-
|
| 63 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 64 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
|
| 68 |
-
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
|
| 69 |
|
|
|
|
| 70 |
model = HfApiModel(
|
| 71 |
-
max_tokens=2096,
|
| 72 |
-
temperature=0.5,
|
| 73 |
-
model_id=
|
| 74 |
-
|
|
|
|
|
|
|
| 75 |
)
|
| 76 |
|
|
|
|
|
|
|
| 77 |
|
| 78 |
-
#
|
| 79 |
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
|
| 80 |
|
| 81 |
-
|
| 82 |
-
prompt_templates = yaml.safe_load(stream)
|
| 83 |
-
|
| 84 |
agent = CodeAgent(
|
| 85 |
model=model,
|
| 86 |
-
tools=[final_answer, web_search, text_splitter, image_generation_tool],
|
| 87 |
max_steps=6,
|
| 88 |
verbosity_level=1,
|
| 89 |
grammar=None,
|
|
@@ -93,5 +72,5 @@ agent = CodeAgent(
|
|
| 93 |
prompt_templates=prompt_templates
|
| 94 |
)
|
| 95 |
|
| 96 |
-
|
| 97 |
-
GradioUI(agent).launch()
|
|
|
|
| 1 |
+
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
|
| 2 |
import datetime
|
| 3 |
import requests
|
| 4 |
import pytz
|
|
|
|
| 6 |
from tools.final_answer import FinalAnswerTool
|
| 7 |
from langchain.text_splitter import CharacterTextSplitter
|
| 8 |
from typing import List
|
|
|
|
| 9 |
from Gradio_UI import GradioUI
|
| 10 |
|
|
|
|
| 11 |
@tool
|
| 12 |
+
def web_search(query: str) -> str:
|
| 13 |
+
"""Searches DuckDuckGo and returns top results as a string."""
|
|
|
|
|
|
|
|
|
|
| 14 |
search_tool = DuckDuckGoSearchTool()
|
| 15 |
+
results = search_tool(query)
|
| 16 |
return "\n".join(results)
|
| 17 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
@tool
|
| 19 |
def visit_webpage(url: str) -> str:
|
| 20 |
+
"""Fetches the content of a web page."""
|
|
|
|
|
|
|
| 21 |
try:
|
| 22 |
response = requests.get(url, timeout=5)
|
| 23 |
+
return response.text[:5000]
|
| 24 |
except Exception as e:
|
| 25 |
return f"[ERROR fetching {url}]: {str(e)}"
|
| 26 |
|
| 27 |
@tool
|
| 28 |
def text_splitter(text: str) -> List[str]:
|
| 29 |
+
"""Splits text into chunks using langchain's CharacterTextSplitter."""
|
| 30 |
+
splitter = CharacterTextSplitter(chunk_size=450, chunk_overlap=10)
|
| 31 |
+
return splitter.split_text(text)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
|
| 33 |
+
@tool
|
| 34 |
+
def get_current_time_in_timezone(timezone: str) -> str:
|
| 35 |
+
"""Gets current time in a given timezone."""
|
| 36 |
+
try:
|
| 37 |
+
tz = pytz.timezone(timezone)
|
| 38 |
+
return datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
|
| 39 |
+
except Exception as e:
|
| 40 |
+
return f"Error fetching time: {e}"
|
| 41 |
|
| 42 |
+
# Load prompts.yaml
|
| 43 |
+
with open("prompts.yaml", "r") as stream:
|
| 44 |
+
prompt_templates = yaml.safe_load(stream)
|
|
|
|
| 45 |
|
| 46 |
+
# Define model
|
| 47 |
model = HfApiModel(
|
| 48 |
+
max_tokens=2096,
|
| 49 |
+
temperature=0.5,
|
| 50 |
+
model_id="meta-llama/Llama-3.2-3B-Instruct",
|
| 51 |
+
last_input_token_count=0,
|
| 52 |
+
last_output_token_count=0,
|
| 53 |
+
custom_role_conversions=None,
|
| 54 |
)
|
| 55 |
|
| 56 |
+
# Required final answer tool
|
| 57 |
+
final_answer = FinalAnswerTool()
|
| 58 |
|
| 59 |
+
# Optional additional tool
|
| 60 |
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
|
| 61 |
|
| 62 |
+
# Build agent
|
|
|
|
|
|
|
| 63 |
agent = CodeAgent(
|
| 64 |
model=model,
|
| 65 |
+
tools=[final_answer, web_search, visit_webpage, text_splitter, image_generation_tool],
|
| 66 |
max_steps=6,
|
| 67 |
verbosity_level=1,
|
| 68 |
grammar=None,
|
|
|
|
| 72 |
prompt_templates=prompt_templates
|
| 73 |
)
|
| 74 |
|
| 75 |
+
# Launch UI with visible errors
|
| 76 |
+
GradioUI(agent).launch(show_error=True)
|