first commit

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

app.py

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+import openai
+import streamlit as st
+from streamlit_chat import message
+import os
+from dotenv import load_dotenv
+
+from chat_settings import (
+    get_initial_message,
+    get_chatgpt_response,
+    update_chat,
+)
+
+
+# Carga las claves
+load_dotenv()
+openai.api_key = os.getenv("OPENAI_API_KEY")
+LLM = "gpt-3.5-turbo-0613" 
+
+
+# Streamlit Application
+def main():
+    st.title("ProPilot - Implementando Functions Calling")
+    st.markdown(
+        """
+        Esta es una demo en la cual se busca implementar de manera sencilla las functions calling de la API de OpenAI.
+        """
+    )
+
+    if 'messages' not in st.session_state:
+        st.session_state['messages'] = get_initial_message()
+
+    query = st.text_input("Ingresa tu texto")
+
+    if st.button("Enviar") and query:
+        st.session_state['messages'] = update_chat(st.session_state['messages'], "user", query)
+        chatgpt_response = get_chatgpt_response(st.session_state['messages'], LLM)
+        st.session_state['messages'] = update_chat(st.session_state['messages'], "assistant", chatgpt_response)
+
+    if st.session_state['messages']:
+        for i, msg in enumerate(st.session_state['messages']):
+            if msg['role'] == 'user':
+                message(msg['content'], is_user=True, key=str(i))
+            else:
+                message(msg['content'], key=str(i))
+
+if __name__ == "__main__":
+    main()

calling_functions.py

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+import re
+
+
+# Definición de esquema para Calling Function
+ADD_DECIMAL_AND_HEXADECIMAL_FUNCTION_SCHEMA = [
+    {
+        "name": "add_decimal_values",
+        "description": "Add two decimal values",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "value1": {
+                    "type": "integer",
+                    "description": "The first decimal value to add. For example, 5",
+                },
+                "value2": {
+                    "type": "integer",
+                    "description": "The second decimal value to add. For example, 10",
+                },
+            },
+            "required": ["value1", "value2"],
+        },
+    },
+    {
+        "name": "add_hexadecimal_values",
+        "description": "Add two hexadecimal values",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "value1": {
+                    "type": "string",
+                    "description": "The first hexadecimal value to add. For example, 5",
+                },
+                "value2": {
+                    "type": "string",
+                    "description": "The second hexadecimal value to add. For example, A",
+                },
+            },
+            "required": ["value1", "value2"],
+        },
+    },
+]
+
+
+# Definición de las funciones
+def add_decimal_values(arguments):
+    v1 = int(re.search(r'"value1": (\d+)', str(arguments)).group(1))
+    v2 = int(re.search(r'"value2": (\d+)', str(arguments)).group(1))
+    return v1 + v2
+
+def add_hexadecimal_values(arguments):
+    v1 = re.search(r'"value1": "(\w+)"', str(arguments)).group(1)
+    v2 = re.search(r'"value2": "(\w+)"', str(arguments)).group(1)
+    return hex(int(v1, 16) + int(v2, 16))[2:]

chat_settings.py

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+import openai
+import os
+
+from  calling_functions import (
+    ADD_DECIMAL_AND_HEXADECIMAL_FUNCTION_SCHEMA,
+    add_decimal_values,  # noqa
+    add_hexadecimal_values,  # noqa
+)
+
+# Definición de las funciones de Chat
+def get_initial_message():
+    messages = [
+        {
+            "role": "system",
+            "content": "Hola, soy ProPilot. Si deseas probar el function calling que tengo configurado solo pregunta: Cual es la suma de 24 y el valor hexadecimal F?",
+        },
+    ]
+    return messages
+
+
+def get_chatgpt_response(messages, model):
+    intermediate_results = []
+
+    while True:
+        response = openai.ChatCompletion.create(
+            model=model,
+            messages=messages,
+            functions=ADD_DECIMAL_AND_HEXADECIMAL_FUNCTION_SCHEMA,
+            temperature=0,
+            headers={
+                "Helicone-Auth": os.getenv('HELICONE_API_KEY'),
+                "Helicone-Cache-Enabled": "true",
+            }
+        )
+
+        if response.choices[0]["finish_reason"] == "stop":
+            final_answer = response.choices[0]["message"]["content"]
+            return final_answer
+
+        elif response.choices[0]["finish_reason"] == "function_call":
+            fn_name = response.choices[0]["message"]["function_call"]["name"]
+            arguments = response.choices[0]["message"]["function_call"]["arguments"]
+
+            function = globals()[fn_name]
+            result = function(arguments)
+
+            if isinstance(result, dict) and "result" in result:
+                result = result["result"]
+
+            intermediate_results.append(str(result))
+
+        # Remove intermediate results from the messages
+        messages = messages[:-len(intermediate_results)]
+
+        # Append the final answer as a system message
+        messages.append(
+            {
+                "role": "system",
+                "content": intermediate_results[-1]
+            }
+        )
+
+
+def update_chat(messages, role, content):
+    messages.append(
+        {"role": role, "content": content},
+    )
+    return messages

requirements.txt

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+streamlit
+streamlit_chat
+openai
+python-dotenv
+helicone