Spaces:
Sleeping
Sleeping
Commit
·
c5afa64
1
Parent(s):
9a8c112
Style the code and make it local runnable
Browse files- .gitignore +173 -0
- Gradio_UI.py +64 -21
- README.md +9 -0
- app.py +30 -14
- requirements.txt +5 -0
- tools/__init__.py +5 -0
- tools/final_answer.py +4 -1
- tools/visit_webpage.py +5 -1
- tools/web_search.py +8 -2
.gitignore
ADDED
@@ -0,0 +1,173 @@
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.gradio
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# Byte-compiled / optimized / DLL files
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+
__pycache__/
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+
*.py[cod]
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6 |
+
*$py.class
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7 |
+
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8 |
+
# C extensions
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9 |
+
*.so
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10 |
+
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11 |
+
# Distribution / packaging
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12 |
+
.Python
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13 |
+
build/
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+
develop-eggs/
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+
dist/
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+
downloads/
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+
eggs/
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+
.eggs/
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+
lib/
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+
lib64/
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+
parts/
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+
sdist/
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+
var/
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24 |
+
wheels/
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+
share/python-wheels/
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+
*.egg-info/
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+
.installed.cfg
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+
*.egg
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+
MANIFEST
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+
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31 |
+
# PyInstaller
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32 |
+
# Usually these files are written by a python script from a template
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33 |
+
# before PyInstaller builds the exe, so as to inject date/other infos into it.
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34 |
+
*.manifest
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35 |
+
*.spec
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36 |
+
|
37 |
+
# Installer logs
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38 |
+
pip-log.txt
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39 |
+
pip-delete-this-directory.txt
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40 |
+
|
41 |
+
# Unit test / coverage reports
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42 |
+
htmlcov/
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43 |
+
.tox/
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44 |
+
.nox/
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45 |
+
.coverage
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46 |
+
.coverage.*
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47 |
+
.cache
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48 |
+
nosetests.xml
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49 |
+
coverage.xml
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50 |
+
*.cover
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51 |
+
*.py,cover
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52 |
+
.hypothesis/
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53 |
+
.pytest_cache/
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54 |
+
cover/
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55 |
+
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+
# Translations
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57 |
+
*.mo
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58 |
+
*.pot
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59 |
+
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60 |
+
# Django stuff:
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61 |
+
*.log
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62 |
+
local_settings.py
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63 |
+
db.sqlite3
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64 |
+
db.sqlite3-journal
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65 |
+
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66 |
+
# Flask stuff:
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67 |
+
instance/
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68 |
+
.webassets-cache
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69 |
+
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70 |
+
# Scrapy stuff:
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71 |
+
.scrapy
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+
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+
# Sphinx documentation
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74 |
+
docs/_build/
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+
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# PyBuilder
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+
.pybuilder/
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+
target/
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+
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# Jupyter Notebook
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+
.ipynb_checkpoints
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82 |
+
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+
# IPython
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+
profile_default/
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ipython_config.py
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+
|
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+
# pyenv
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88 |
+
# For a library or package, you might want to ignore these files since the code is
|
89 |
+
# intended to run in multiple environments; otherwise, check them in:
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90 |
+
# .python-version
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+
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+
# pipenv
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+
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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+
# However, in case of collaboration, if having platform-specific dependencies or dependencies
|
95 |
+
# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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+
#Pipfile.lock
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+
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+
# UV
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+
# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
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+
# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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#uv.lock
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+
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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+
# This is especially recommended for binary packages to ensure reproducibility, and is more
|
108 |
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# commonly ignored for libraries.
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+
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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+
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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+
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# mkdocs documentation
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/site
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+
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+
# mypy
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+
.mypy_cache/
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.dmypy.json
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dmypy.json
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+
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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+
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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+
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# PyPI configuration file
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+
.pypirc
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Gradio_UI.py
CHANGED
@@ -19,7 +19,12 @@ import re
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import shutil
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from typing import Optional
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-
from smolagents.agent_types import
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from smolagents.agents import ActionStep, MultiStepAgent
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from smolagents.memory import MemoryStep
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from smolagents.utils import _is_package_available
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@@ -33,7 +38,9 @@ def pull_messages_from_step(
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if isinstance(step_log, ActionStep):
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# Output the step number
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step_number =
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yield gr.ChatMessage(role="assistant", content=f"**{step_number}**")
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# First yield the thought/reasoning from the LLM
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# Clean up the LLM output
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model_output = step_log.model_output.strip()
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# Remove any trailing <end_code> and extra backticks, handling multiple possible formats
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-
model_output = re.sub(
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-
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-
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model_output = model_output.strip()
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yield gr.ChatMessage(role="assistant", content=model_output)
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@@ -63,8 +76,12 @@ def pull_messages_from_step(
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if used_code:
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# Clean up the content by removing any end code tags
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-
content = re.sub(
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-
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content = content.strip()
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if not content.startswith("```python"):
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content = f"```python\n{content}\n```"
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@@ -90,7 +107,11 @@ def pull_messages_from_step(
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yield gr.ChatMessage(
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role="assistant",
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content=f"{log_content}",
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-
metadata={
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)
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# Nesting any errors under the tool call
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yield gr.ChatMessage(
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role="assistant",
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content=str(step_log.error),
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metadata={
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)
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# Update parent message metadata to done status without yielding a new message
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# Handle standalone errors but not from tool calls
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elif hasattr(step_log, "error") and step_log.error is not None:
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-
yield gr.ChatMessage(
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# Calculate duration and token information
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step_footnote = f"{step_number}"
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if hasattr(step_log, "input_token_count") and hasattr(
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-
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-
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-
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step_footnote += token_str
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if hasattr(step_log, "duration"):
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step_duration =
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step_footnote += step_duration
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step_footnote = f"""<span style="color: #bbbbc2; font-size: 12px;">{step_footnote}</span> """
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yield gr.ChatMessage(role="assistant", content=f"{step_footnote}")
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@@ -139,7 +172,9 @@ def stream_to_gradio(
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total_input_tokens = 0
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total_output_tokens = 0
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for step_log in agent.run(
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# Track tokens if model provides them
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if hasattr(agent.model, "last_input_token_count"):
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total_input_tokens += agent.model.last_input_token_count
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@@ -172,7 +207,9 @@ def stream_to_gradio(
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content={"path": final_answer.to_string(), "mime_type": "audio/wav"},
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)
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else:
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yield gr.ChatMessage(
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class GradioUI:
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sanitized_name = "".join(sanitized_name)
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# Save the uploaded file to the specified folder
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file_path = os.path.join(
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shutil.copy(file.name, file_path)
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return gr.Textbox(
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def log_user_message(self, text_input, file_uploads_log):
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return (
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# If an upload folder is provided, enable the upload feature
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if self.file_upload_folder is not None:
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upload_file = gr.File(label="Upload a file")
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upload_status = gr.Textbox(
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upload_file.change(
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self.upload_file,
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[upload_file, file_uploads_log],
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demo.launch(debug=True, share=True, **kwargs)
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__all__ = ["stream_to_gradio", "GradioUI"]
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import shutil
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from typing import Optional
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from smolagents.agent_types import (
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AgentAudio,
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AgentImage,
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AgentText,
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handle_agent_output_types,
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)
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from smolagents.agents import ActionStep, MultiStepAgent
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from smolagents.memory import MemoryStep
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from smolagents.utils import _is_package_available
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if isinstance(step_log, ActionStep):
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# Output the step number
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step_number = (
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f"Step {step_log.step_number}" if step_log.step_number is not None else ""
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)
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yield gr.ChatMessage(role="assistant", content=f"**{step_number}**")
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# First yield the thought/reasoning from the LLM
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# Clean up the LLM output
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model_output = step_log.model_output.strip()
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# Remove any trailing <end_code> and extra backticks, handling multiple possible formats
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+
model_output = re.sub(
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r"```\s*<end_code>", "```", model_output
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) # handles ```<end_code>
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model_output = re.sub(
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r"<end_code>\s*```", "```", model_output
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) # handles <end_code>```
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model_output = re.sub(
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r"```\s*\n\s*<end_code>", "```", model_output
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) # handles ```\n<end_code>
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model_output = model_output.strip()
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yield gr.ChatMessage(role="assistant", content=model_output)
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if used_code:
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# Clean up the content by removing any end code tags
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content = re.sub(
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r"```.*?\n", "", content
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) # Remove existing code blocks
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content = re.sub(
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r"\s*<end_code>\s*", "", content
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) # Remove end_code tags
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content = content.strip()
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if not content.startswith("```python"):
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content = f"```python\n{content}\n```"
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yield gr.ChatMessage(
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role="assistant",
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content=f"{log_content}",
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metadata={
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"title": "📝 Execution Logs",
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"parent_id": parent_id,
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"status": "done",
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},
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)
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# Nesting any errors under the tool call
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yield gr.ChatMessage(
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role="assistant",
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content=str(step_log.error),
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metadata={
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"title": "💥 Error",
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"parent_id": parent_id,
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"status": "done",
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},
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)
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# Update parent message metadata to done status without yielding a new message
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# Handle standalone errors but not from tool calls
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elif hasattr(step_log, "error") and step_log.error is not None:
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+
yield gr.ChatMessage(
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role="assistant",
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content=str(step_log.error),
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metadata={"title": "💥 Error"},
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)
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# Calculate duration and token information
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step_footnote = f"{step_number}"
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if hasattr(step_log, "input_token_count") and hasattr(
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step_log, "output_token_count"
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):
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token_str = f" | Input-tokens:{step_log.input_token_count:,} | Output-tokens:{step_log.output_token_count:,}"
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step_footnote += token_str
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if hasattr(step_log, "duration"):
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step_duration = (
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f" | Duration: {round(float(step_log.duration), 2)}"
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if step_log.duration
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else None
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)
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step_footnote += step_duration
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step_footnote = f"""<span style="color: #bbbbc2; font-size: 12px;">{step_footnote}</span> """
|
155 |
yield gr.ChatMessage(role="assistant", content=f"{step_footnote}")
|
|
|
172 |
total_input_tokens = 0
|
173 |
total_output_tokens = 0
|
174 |
|
175 |
+
for step_log in agent.run(
|
176 |
+
task, stream=True, reset=reset_agent_memory, additional_args=additional_args
|
177 |
+
):
|
178 |
# Track tokens if model provides them
|
179 |
if hasattr(agent.model, "last_input_token_count"):
|
180 |
total_input_tokens += agent.model.last_input_token_count
|
|
|
207 |
content={"path": final_answer.to_string(), "mime_type": "audio/wav"},
|
208 |
)
|
209 |
else:
|
210 |
+
yield gr.ChatMessage(
|
211 |
+
role="assistant", content=f"**Final answer:** {str(final_answer)}"
|
212 |
+
)
|
213 |
|
214 |
|
215 |
class GradioUI:
|
|
|
279 |
sanitized_name = "".join(sanitized_name)
|
280 |
|
281 |
# Save the uploaded file to the specified folder
|
282 |
+
file_path = os.path.join(
|
283 |
+
self.file_upload_folder, os.path.basename(sanitized_name)
|
284 |
+
)
|
285 |
shutil.copy(file.name, file_path)
|
286 |
|
287 |
+
return gr.Textbox(
|
288 |
+
f"File uploaded: {file_path}", visible=True
|
289 |
+
), file_uploads_log + [file_path]
|
290 |
|
291 |
def log_user_message(self, text_input, file_uploads_log):
|
292 |
return (
|
|
|
318 |
# If an upload folder is provided, enable the upload feature
|
319 |
if self.file_upload_folder is not None:
|
320 |
upload_file = gr.File(label="Upload a file")
|
321 |
+
upload_status = gr.Textbox(
|
322 |
+
label="Upload Status", interactive=False, visible=False
|
323 |
+
)
|
324 |
upload_file.change(
|
325 |
self.upload_file,
|
326 |
[upload_file, file_uploads_log],
|
|
|
336 |
demo.launch(debug=True, share=True, **kwargs)
|
337 |
|
338 |
|
339 |
+
__all__ = ["stream_to_gradio", "GradioUI"]
|
README.md
CHANGED
@@ -16,3 +16,12 @@ tags:
|
|
16 |
---
|
17 |
|
18 |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
16 |
---
|
17 |
|
18 |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
19 |
+
|
20 |
+
---
|
21 |
+
|
22 |
+
- [First Agent Template - a Hugging Face Space by daviddwlee84](https://huggingface.co/spaces/daviddwlee84/First_Agent)
|
23 |
+
|
24 |
+
```bash
|
25 |
+
# BUG: somehow failed to inference locally
|
26 |
+
python app.py
|
27 |
+
```
|
app.py
CHANGED
@@ -1,23 +1,31 @@
|
|
1 |
-
from smolagents import CodeAgent,
|
2 |
import datetime
|
3 |
import requests
|
4 |
import pytz
|
5 |
import yaml
|
6 |
-
from tools
|
|
|
|
|
|
|
|
|
7 |
|
8 |
from Gradio_UI import GradioUI
|
9 |
|
|
|
10 |
# Below is an example of a tool that does nothing. Amaze us with your creativity !
|
11 |
@tool
|
12 |
-
def my_cutom_tool(
|
13 |
-
|
14 |
-
|
|
|
|
|
15 |
Args:
|
16 |
arg1: the first argument
|
17 |
arg2: the second argument
|
18 |
"""
|
19 |
return "What magic will you build ?"
|
20 |
|
|
|
21 |
@tool
|
22 |
def get_current_time_in_timezone(timezone: str) -> str:
|
23 |
"""A tool that fetches the current local time in a specified timezone.
|
@@ -36,30 +44,38 @@ def get_current_time_in_timezone(timezone: str) -> str:
|
|
36 |
|
37 |
final_answer = FinalAnswerTool()
|
38 |
model = HfApiModel(
|
39 |
-
max_tokens=2096,
|
40 |
-
temperature=0.5,
|
41 |
-
model_id=
|
42 |
-
custom_role_conversions=None,
|
43 |
)
|
44 |
|
45 |
|
46 |
# Import tool from Hub
|
47 |
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
|
48 |
|
49 |
-
|
|
|
|
|
|
|
50 |
prompt_templates = yaml.safe_load(stream)
|
51 |
-
|
52 |
agent = CodeAgent(
|
53 |
model=model,
|
54 |
-
tools=[
|
|
|
|
|
|
|
|
|
|
|
55 |
max_steps=6,
|
56 |
verbosity_level=1,
|
57 |
grammar=None,
|
58 |
planning_interval=None,
|
59 |
name=None,
|
60 |
description=None,
|
61 |
-
prompt_templates=prompt_templates
|
62 |
)
|
63 |
|
64 |
|
65 |
-
GradioUI(agent).launch()
|
|
|
1 |
+
from smolagents import CodeAgent, HfApiModel, load_tool, tool
|
2 |
import datetime
|
3 |
import requests
|
4 |
import pytz
|
5 |
import yaml
|
6 |
+
from tools import (
|
7 |
+
FinalAnswerTool,
|
8 |
+
VisitWebpageTool,
|
9 |
+
DuckDuckGoSearchTool, # This is also built-in in smolagents
|
10 |
+
)
|
11 |
|
12 |
from Gradio_UI import GradioUI
|
13 |
|
14 |
+
|
15 |
# Below is an example of a tool that does nothing. Amaze us with your creativity !
|
16 |
@tool
|
17 |
+
def my_cutom_tool(
|
18 |
+
arg1: str, arg2: int
|
19 |
+
) -> str: # it's import to specify the return type
|
20 |
+
# Keep this format for the description / args / args description but feel free to modify the tool
|
21 |
+
"""A tool that does nothing yet
|
22 |
Args:
|
23 |
arg1: the first argument
|
24 |
arg2: the second argument
|
25 |
"""
|
26 |
return "What magic will you build ?"
|
27 |
|
28 |
+
|
29 |
@tool
|
30 |
def get_current_time_in_timezone(timezone: str) -> str:
|
31 |
"""A tool that fetches the current local time in a specified timezone.
|
|
|
44 |
|
45 |
final_answer = FinalAnswerTool()
|
46 |
model = HfApiModel(
|
47 |
+
max_tokens=2096,
|
48 |
+
temperature=0.5,
|
49 |
+
model_id="https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud", # it is possible that this model may be overloaded
|
50 |
+
custom_role_conversions=None,
|
51 |
)
|
52 |
|
53 |
|
54 |
# Import tool from Hub
|
55 |
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
|
56 |
|
57 |
+
duckduckgo_tool = DuckDuckGoSearchTool()
|
58 |
+
visit_webpage_tool = VisitWebpageTool()
|
59 |
+
|
60 |
+
with open("prompts.yaml", "r") as stream:
|
61 |
prompt_templates = yaml.safe_load(stream)
|
62 |
+
|
63 |
agent = CodeAgent(
|
64 |
model=model,
|
65 |
+
tools=[
|
66 |
+
final_answer,
|
67 |
+
image_generation_tool,
|
68 |
+
duckduckgo_tool,
|
69 |
+
visit_webpage_tool,
|
70 |
+
], # Add your tools here (don't remove final answer)
|
71 |
max_steps=6,
|
72 |
verbosity_level=1,
|
73 |
grammar=None,
|
74 |
planning_interval=None,
|
75 |
name=None,
|
76 |
description=None,
|
77 |
+
prompt_templates=prompt_templates,
|
78 |
)
|
79 |
|
80 |
|
81 |
+
GradioUI(agent).launch()
|
requirements.txt
CHANGED
@@ -3,3 +3,8 @@ smolagents
|
|
3 |
requests
|
4 |
duckduckgo_search
|
5 |
pandas
|
|
|
|
|
|
|
|
|
|
|
|
3 |
requests
|
4 |
duckduckgo_search
|
5 |
pandas
|
6 |
+
|
7 |
+
# Local development
|
8 |
+
gradio
|
9 |
+
# ImportError: Using SOCKS proxy, but the 'socksio' package is not installed. Make sure to install httpx using `pip install httpx[socks]`
|
10 |
+
httpx[socks]
|
tools/__init__.py
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from .visit_webpage import VisitWebpageTool
|
2 |
+
from .final_answer import FinalAnswerTool
|
3 |
+
from .web_search import DuckDuckGoSearchTool
|
4 |
+
|
5 |
+
__all__ = ["VisitWebpageTool", "FinalAnswerTool", "DuckDuckGoSearchTool"]
|
tools/final_answer.py
CHANGED
@@ -1,10 +1,13 @@
|
|
1 |
from typing import Any, Optional
|
2 |
from smolagents.tools import Tool
|
3 |
|
|
|
4 |
class FinalAnswerTool(Tool):
|
5 |
name = "final_answer"
|
6 |
description = "Provides a final answer to the given problem."
|
7 |
-
inputs = {
|
|
|
|
|
8 |
output_type = "any"
|
9 |
|
10 |
def forward(self, answer: Any) -> Any:
|
|
|
1 |
from typing import Any, Optional
|
2 |
from smolagents.tools import Tool
|
3 |
|
4 |
+
|
5 |
class FinalAnswerTool(Tool):
|
6 |
name = "final_answer"
|
7 |
description = "Provides a final answer to the given problem."
|
8 |
+
inputs = {
|
9 |
+
"answer": {"type": "any", "description": "The final answer to the problem"}
|
10 |
+
}
|
11 |
output_type = "any"
|
12 |
|
13 |
def forward(self, answer: Any) -> Any:
|
tools/visit_webpage.py
CHANGED
@@ -3,11 +3,15 @@ from smolagents.tools import Tool
|
|
3 |
import requests
|
4 |
import markdownify
|
5 |
import smolagents
|
|
|
|
|
6 |
|
7 |
class VisitWebpageTool(Tool):
|
8 |
name = "visit_webpage"
|
9 |
description = "Visits a webpage at the given url and reads its content as a markdown string. Use this to browse webpages."
|
10 |
-
inputs = {
|
|
|
|
|
11 |
output_type = "string"
|
12 |
|
13 |
def forward(self, url: str) -> str:
|
|
|
3 |
import requests
|
4 |
import markdownify
|
5 |
import smolagents
|
6 |
+
import re
|
7 |
+
|
8 |
|
9 |
class VisitWebpageTool(Tool):
|
10 |
name = "visit_webpage"
|
11 |
description = "Visits a webpage at the given url and reads its content as a markdown string. Use this to browse webpages."
|
12 |
+
inputs = {
|
13 |
+
"url": {"type": "string", "description": "The url of the webpage to visit."}
|
14 |
+
}
|
15 |
output_type = "string"
|
16 |
|
17 |
def forward(self, url: str) -> str:
|
tools/web_search.py
CHANGED
@@ -2,10 +2,13 @@ from typing import Any, Optional
|
|
2 |
from smolagents.tools import Tool
|
3 |
import duckduckgo_search
|
4 |
|
|
|
5 |
class DuckDuckGoSearchTool(Tool):
|
6 |
name = "web_search"
|
7 |
description = "Performs a duckduckgo web search based on your query (think a Google search) then returns the top search results."
|
8 |
-
inputs = {
|
|
|
|
|
9 |
output_type = "string"
|
10 |
|
11 |
def __init__(self, max_results=10, **kwargs):
|
@@ -23,5 +26,8 @@ class DuckDuckGoSearchTool(Tool):
|
|
23 |
results = self.ddgs.text(query, max_results=self.max_results)
|
24 |
if len(results) == 0:
|
25 |
raise Exception("No results found! Try a less restrictive/shorter query.")
|
26 |
-
postprocessed_results = [
|
|
|
|
|
|
|
27 |
return "## Search Results\n\n" + "\n\n".join(postprocessed_results)
|
|
|
2 |
from smolagents.tools import Tool
|
3 |
import duckduckgo_search
|
4 |
|
5 |
+
|
6 |
class DuckDuckGoSearchTool(Tool):
|
7 |
name = "web_search"
|
8 |
description = "Performs a duckduckgo web search based on your query (think a Google search) then returns the top search results."
|
9 |
+
inputs = {
|
10 |
+
"query": {"type": "string", "description": "The search query to perform."}
|
11 |
+
}
|
12 |
output_type = "string"
|
13 |
|
14 |
def __init__(self, max_results=10, **kwargs):
|
|
|
26 |
results = self.ddgs.text(query, max_results=self.max_results)
|
27 |
if len(results) == 0:
|
28 |
raise Exception("No results found! Try a less restrictive/shorter query.")
|
29 |
+
postprocessed_results = [
|
30 |
+
f"[{result['title']}]({result['href']})\n{result['body']}"
|
31 |
+
for result in results
|
32 |
+
]
|
33 |
return "## Search Results\n\n" + "\n\n".join(postprocessed_results)
|