diff --git a/camel/functions/data_io_functions.py b/camel/functions/data_io_functions.py
new file mode 100644
index 000000000..0a9450060
--- /dev/null
+++ b/camel/functions/data_io_functions.py
@@ -0,0 +1,253 @@
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+import json
+import re
+from abc import ABC, abstractmethod
+from copy import deepcopy
+from hashlib import md5
+from io import BytesIO
+from typing import Any, Dict, List, Optional
+
+import docx2txt
+import fitz
+from bs4 import BeautifulSoup
+
+
+class File(ABC):
+    """Represents an uploaded file comprised of Documents"""
+
+    def __init__(
+        self,
+        name: str,
+        id: str,
+        metadata: Optional[Dict[str, Any]] = None,
+        docs: Optional[List[Dict[str, Any]]] = None,
+    ):
+        """
+        Args:
+            name (str): The name of the file.
+            id (str): The unique identifier of the file.
+            metadata (Dict[str, Any], optional):
+            Additional metadata associated with the file. Defaults to None.
+            docs (List[Dict[str, Any]], optional):
+            A list of documents contained within the file. Defaults to None.
+        """
+        self.name = name
+        self.id = id
+        self.metadata = metadata or {}
+        self.docs = docs or []
+
+    @classmethod
+    @abstractmethod
+    def from_bytes(cls, file: BytesIO) -> "File":
+        """
+        Creates a File object from a BytesIO object.
+
+        Args:
+            file (BytesIO):
+            A BytesIO object representing the contents of the file.
+
+        Returns:
+            File: A File object.
+        """
+
+    def __repr__(self) -> str:
+        return (f"File(name={self.name}, id={self.id}, "
+                f"metadata={self.metadata}, docs={self.docs})")
+
+    def __str__(self) -> str:
+        return (
+            f"File(name={self.name}, id={self.id}, metadata={self.metadata})")
+
+    def copy(self) -> "File":
+        """Create a deep copy of this File"""
+        return self.__class__(
+            name=self.name,
+            id=self.id,
+            metadata=deepcopy(self.metadata),
+            docs=deepcopy(self.docs),
+        )
+
+
+def strip_consecutive_newlines(text: str) -> str:
+    """
+    Strips consecutive newlines from a string.
+
+    Args:
+        text (str): The string to strip.
+
+    Returns:
+        str: The string with consecutive newlines stripped.
+    """
+    return re.sub(r"\s*\n\s*", "\n", text)
+
+
+class DocxFile(File):
+
+    @classmethod
+    def from_bytes(cls, file: BytesIO) -> "DocxFile":
+        """
+        Creates a DocxFile object from a BytesIO object.
+
+        Args:
+            file (BytesIO):
+            A BytesIO object representing the contents of the docx file.
+
+        Returns:
+            DocxFile: A DocxFile object.
+        """
+        # Use docx2txt to extract text from docx files
+        text = docx2txt.process(file)
+        text = strip_consecutive_newlines(text)
+        # Create a dictionary with the extracted text
+        doc = {"page_content": text.strip()}
+        # Calculate a unique identifier for the file
+        file_id = md5(file.getvalue()).hexdigest()
+        # Reset the file pointer to the beginning
+        file.seek(0)
+        return cls(name=file.name, id=file_id, docs=[doc])
+
+
+class PdfFile(File):
+
+    @classmethod
+    def from_bytes(cls, file: BytesIO) -> "PdfFile":
+        """
+        Creates a PdfFile object from a BytesIO object.
+
+        Args:
+            file (BytesIO):
+            A BytesIO object representing the contents of the pdf file.
+
+        Returns:
+            PdfFile: A PdfFile object.
+        """
+        # Use fitz to extract text from pdf files
+        pdf = fitz.open(stream=file.read(), filetype="pdf")
+        docs = []
+        for i, page in enumerate(pdf):
+            text = page.get_text(sort=True)
+            text = strip_consecutive_newlines(text)
+            # Create a dictionary with the extracted text
+            doc = {"page_content": text.strip(), "page": i + 1}
+            docs.append(doc)
+        # Calculate a unique identifier for the file
+        file_id = md5(file.getvalue()).hexdigest()
+        # Reset the file pointer to the beginning
+        file.seek(0)
+        return cls(name=file.name, id=file_id, docs=docs)
+
+
+class TxtFile(File):
+
+    @classmethod
+    def from_bytes(cls, file: BytesIO) -> "TxtFile":
+        """
+        Creates a TxtFile object from a BytesIO object.
+
+        Args:
+            file (BytesIO):
+            A BytesIO object representing the contents of the txt file.
+
+        Returns:
+            TxtFile: A TxtFile object.
+        """
+        # Read the text from the file
+        text = file.read().decode("utf-8")
+        text = strip_consecutive_newlines(text)
+        # Create a dictionary with the extracted text
+        doc = {"page_content": text.strip()}
+        # Calculate a unique identifier for the file
+        file_id = md5(file.getvalue()).hexdigest()
+        # Reset the file pointer to the beginning
+        file.seek(0)
+        return cls(name=file.name, id=file_id, docs=[doc])
+
+
+class JsonFile(File):
+
+    @classmethod
+    def from_bytes(cls, file: BytesIO) -> "JsonFile":
+        """
+        Creates a JsonFile object from a BytesIO object.
+
+        Args:
+            file (BytesIO):
+            A BytesIO object representing the contents of the json file.
+
+        Returns:
+            JsonFile: A JsonFile object.
+        """
+        # Parse the JSON data from the file
+        data = json.load(file)
+        # Create a dictionary with the parsed data
+        doc = {"page_content": json.dumps(data)}
+        # Calculate a unique identifier for the file
+        file_id = md5(file.getvalue()).hexdigest()
+        # Reset the file pointer to the beginning
+        file.seek(0)
+        return cls(name=file.name, id=file_id, docs=[doc])
+
+
+class HtmlFile(File):
+
+    @classmethod
+    def from_bytes(cls, file: BytesIO) -> "HtmlFile":
+        """
+        Creates a HtmlFile object from a BytesIO object.
+
+        Args:
+            file (BytesIO):
+            A BytesIO object representing the contents of the html file.
+
+        Returns:
+            HtmlFile: A HtmlFile object.
+        """
+        # Parse the HTML data from the file
+        soup = BeautifulSoup(file, "html.parser")
+        text = soup.get_text()
+        text = strip_consecutive_newlines(text)
+        # Create a dictionary with the parsed data
+        doc = {"page_content": text.strip()}
+        # Calculate a unique identifier for the file
+        file_id = md5(file.getvalue()).hexdigest()
+        # Reset the file pointer to the beginning
+        file.seek(0)
+        return cls(name=file.name, id=file_id, docs=[doc])
+
+
+def read_file(file: BytesIO) -> File:
+    """
+    Reads an uploaded file and returns a File object.
+
+    Args:
+        file (BytesIO): A BytesIO object representing the contents of the file.
+
+    Returns:
+        File: A File object.
+    """
+    # Determine the file type based on the file extension
+    if file.name.lower().endswith(".docx"):
+        return DocxFile.from_bytes(file)
+    elif file.name.lower().endswith(".pdf"):
+        return PdfFile.from_bytes(file)
+    elif file.name.lower().endswith(".txt"):
+        return TxtFile.from_bytes(file)
+    elif file.name.lower().endswith(".json"):
+        return JsonFile.from_bytes(file)
+    elif file.name.lower().endswith(".html"):
+        return HtmlFile.from_bytes(file)
+    else:
+        raise NotImplementedError(
+            f"File type {file.name.split('.')[-1]} not supported")
diff --git a/poetry.lock b/poetry.lock
index dd808fe43..31326fb17 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -600,63 +600,63 @@ test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
 
 [[package]]
 name = "coverage"
-version = "7.3.0"
+version = "7.3.1"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -783,6 +783,16 @@ files = [
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 ]
 
+[[package]]
+name = "docx2txt"
+version = "0.8"
+description = "A pure python-based utility to extract text and images from docx files."
+optional = false
+python-versions = "*"
+files = [
+    {file = "docx2txt-0.8.tar.gz", hash = "sha256:2c06d98d7cfe2d3947e5760a57d924e3ff07745b379c8737723922e7009236e5"},
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.1.3"
@@ -1029,13 +1039,13 @@ tqdm = ["tqdm"]
 
 [[package]]
 name = "gradio"
-version = "3.42.0"
+version = "3.43.2"
 description = "Python library for easily interacting with trained machine learning models"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1101,13 +1111,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "0.17.3"
+version = "0.18.0"
 description = "A minimal low-level HTTP client."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1122,18 +1132,18 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "httpx"
-version = "0.24.1"
+version = "0.25.0"
 description = "The next generation HTTP client."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "httpx-0.25.0.tar.gz", hash = "sha256:47ecda285389cb32bb2691cc6e069e3ab0205956f681c5b2ad2325719751d875"},
 ]
 
 [package.dependencies]
 certifi = "*"
-httpcore = ">=0.15.0,<0.18.0"
+httpcore = ">=0.18.0,<0.19.0"
 idna = "*"
 sniffio = "*"
 
@@ -1145,13 +1155,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.16.4"
+version = "0.17.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1164,26 +1174,27 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
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+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)", "watchdog"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-inference = ["aiohttp", "pydantic"]
-quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
+inference = ["aiohttp", "pydantic (<2.0)"]
+quality = ["black (==23.7)", "mypy (==1.5.1)", "ruff (>=0.0.241)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["torch"]
-typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic (<2.0)", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
 
 [[package]]
 name = "identify"
-version = "2.5.27"
+version = "2.5.28"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "identify-2.5.27-py2.py3-none-any.whl", hash = "sha256:fdb527b2dfe24602809b2201e033c2a113d7bdf716db3ca8e3243f735dcecaba"},
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+    {file = "identify-2.5.28-py2.py3-none-any.whl", hash = "sha256:87816de144bf46d161bd5b3e8f5596b16cade3b80be537087334b26bc5c177f3"},
+    {file = "identify-2.5.28.tar.gz", hash = "sha256:94bb59643083ebd60dc996d043497479ee554381fbc5307763915cda49b0e78f"},
 ]
 
 [package.extras]
@@ -1505,52 +1516,58 @@ files = [
 
 [[package]]
 name = "matplotlib"
-version = "3.7.2"
+version = "3.7.3"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1559,11 +1576,12 @@ cycler = ">=0.10"
 fonttools = ">=4.22.0"
 importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
 kiwisolver = ">=1.0.1"
-numpy = ">=1.20"
+numpy = ">=1.20,<2"
 packaging = ">=20.0"
 pillow = ">=6.2.0"
-pyparsing = ">=2.3.1,<3.1"
+pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
+setuptools_scm = ">=7"
 
 [[package]]
 name = "mccabe"
@@ -1922,71 +1940,71 @@ numpy = [
 
 [[package]]
 name = "orjson"
-version = "3.9.5"
+version = "3.9.7"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.7"
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+    {file = "setuptools-68.2.1.tar.gz", hash = "sha256:56ee14884fd8d0cd015411f4a13f40b4356775a0aefd9ebc1d3bfb9a1acb32f1"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5,<=7.1.2)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
 testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
-testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+
+[[package]]
+name = "setuptools-scm"
+version = "7.1.0"
+description = "the blessed package to manage your versions by scm tags"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "setuptools_scm-7.1.0-py3-none-any.whl", hash = "sha256:73988b6d848709e2af142aa48c986ea29592bbcfca5375678064708205253d8e"},
+    {file = "setuptools_scm-7.1.0.tar.gz", hash = "sha256:6c508345a771aad7d56ebff0e70628bf2b0ec7573762be9960214730de278f27"},
+]
+
+[package.dependencies]
+packaging = ">=20.0"
+setuptools = "*"
+tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+typing-extensions = "*"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
 
 [[package]]
 name = "six"
@@ -3296,40 +3423,40 @@ doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
 [[package]]
 name = "tiktoken"
-version = "0.4.0"
+version = "0.5.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "tiktoken-0.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:9c6dd439e878172dc163fced3bc7b19b9ab549c271b257599f55afc3a6a5edef"},
-    {file = "tiktoken-0.4.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8d1d97f83697ff44466c6bef5d35b6bcdb51e0125829a9c0ed1e6e39fb9a08fb"},
-    {file = "tiktoken-0.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1b6bce7c68aa765f666474c7c11a7aebda3816b58ecafb209afa59c799b0dd2d"},
-    {file = "tiktoken-0.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a73286c35899ca51d8d764bc0b4d60838627ce193acb60cc88aea60bddec4fd"},
-    {file = "tiktoken-0.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d0394967d2236a60fd0aacef26646b53636423cc9c70c32f7c5124ebe86f3093"},
-    {file = "tiktoken-0.4.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:dae2af6f03ecba5f679449fa66ed96585b2fa6accb7fd57d9649e9e398a94f44"},
-    {file = "tiktoken-0.4.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:55e251b1da3c293432179cf7c452cfa35562da286786be5a8b1ee3405c2b0dd2"},
-    {file = "tiktoken-0.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:c835d0ee1f84a5aa04921717754eadbc0f0a56cf613f78dfc1cf9ad35f6c3fea"},
-    {file = "tiktoken-0.4.0.tar.gz", hash = "sha256:59b20a819969735b48161ced9b92f05dc4519c17be4015cfb73b65270a243620"},
+    {file = "tiktoken-0.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6eaf6b593f09e321446e0940d5bc72960687b2d1889c0431d42718d437bb3285"},
+    {file = "tiktoken-0.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7c96a1234e0edd4a7dd616c5da2658268a55c0931e72d319a998807feba8aa77"},
+    {file = "tiktoken-0.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3578d1d49757d9a2770d1aa36915a342804da1a419c7db218d3565309599e378"},
+    {file = "tiktoken-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf10dff18a1b6b009aa89f0850a8024b393696045a65e82d10e55d7ae5c8b5bd"},
+    {file = "tiktoken-0.5.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:f16e1bb26a36841bb58b857ed3bbe1e6be845829e5dbb28cea80e2e622ebd753"},
+    {file = "tiktoken-0.5.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:5939137cc4d2b3628a00254ad22b1d520a945a100d8bf760bc0e2963ebd6d173"},
+    {file = "tiktoken-0.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:e31972f9594a34e2546b69b87e921e035b2f52b12559c9cd5231f796c6473ffc"},
+    {file = "tiktoken-0.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8e2ac182d9c975c7c5068382bb17f56e468c35007ea075e37f4bebe85c95f9fc"},
+    {file = "tiktoken-0.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:89e2fdba5ab5a13a2f174e76897d6135caf31b0aa9fa97c8df63eaa8acfea46a"},
+    {file = "tiktoken-0.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:11ce4800f5708cf43997fbcec9cd69939462b8c5856715aae6ddb244a5d71eed"},
+    {file = "tiktoken-0.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:74280005ad0c6aceb53b12aad84d9b3753b72da6603d57bbc35212631e6a3bb1"},
+    {file = "tiktoken-0.5.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:2fbb444c0183701a2f012a720b040b6116b0e061c7ea70a3a8828b850fb2c71a"},
+    {file = "tiktoken-0.5.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f823a3034abc838e53a42271c6a15369ccbf467abbba517ee3595d6741dab107"},
+    {file = "tiktoken-0.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:caaf5db8705d7d39286361a2ef71315ff1673b8787fe64f457c63770ceda1f6b"},
+    {file = "tiktoken-0.5.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:89bc1d136ab6abfcc0aab0ab52b5641ca45c23bd63f65da957c2d13122e5ae3c"},
+    {file = "tiktoken-0.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:3aab8676862ccc923867864f5339fdb1a5322fc21f9f06bbba0ae7a845d7fe5a"},
+    {file = "tiktoken-0.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c5a3a1aa7bc2490c2e64f7a1d14159e03b1c252ed253e0ca712c1952d51ca2f"},
+    {file = "tiktoken-0.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bd88e25af7463d5b15812262f66d6f3096a6e4b60e0c0712b917a51175f57f0d"},
+    {file = "tiktoken-0.5.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:f84d9bc41da27961516b8e56254ad886e16ac64a3f5b5fb7c4335678e23579b0"},
+    {file = "tiktoken-0.5.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2f1c85626ed1bf68104715893dad9dce8153cab44cfeeeab5c56bb5ec92b813c"},
+    {file = "tiktoken-0.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:0f994aefe5f2c69dc6ee822c5323c5bef2cb4c84533af813c4b867419701cc2d"},
+    {file = "tiktoken-0.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9635a6a5aadeb116c950b285d97987199cada3e28531a84f32b38941dead759f"},
+    {file = "tiktoken-0.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:dda8f19ce057d7aa5f8015ffea3beacc20661a42afbc81f7a599534716214a8e"},
+    {file = "tiktoken-0.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbb94200722590d2cae477967f0470f17846e5cada4fc1e4754ec8701cdd6494"},
+    {file = "tiktoken-0.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bbf1af57d68340447ca1827a93ae0a788f97787b3a17851709156636df47d815"},
+    {file = "tiktoken-0.5.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:8d45410f89b7efb26b53eb8993f1122e0442abe0bb913ccb0f5d28be7e36e2a9"},
+    {file = "tiktoken-0.5.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2a9324122f8e33475b575f7bfff035c15a789dc50edeca907ecaa9c8d72cc168"},
+    {file = "tiktoken-0.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:02c35c78849ead31b69fd42b021031554fd1f3813fd1bf064185f6404768eea6"},
+    {file = "tiktoken-0.5.0.tar.gz", hash = "sha256:c8dfd3280f5fca0d8ed2ec18c0f11f7cba305af48faaf4b914c71b7d221f39ed"},
 ]
 
 [package.dependencies]
@@ -3488,13 +3615,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.33.0"
+version = "4.33.1"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = true
 python-versions = ">=3.8.0"
 files = [
-    {file = "transformers-4.33.0-py3-none-any.whl", hash = "sha256:c3b7f818e90c4361bb50ad541ab94e28329aa0d97a1c45ffafa5a8b693bc73ec"},
-    {file = "transformers-4.33.0.tar.gz", hash = "sha256:9e894dc62cfb02d92c1201e57219765b53be6486a306db8b60414e93fc2e39a5"},
+    {file = "transformers-4.33.1-py3-none-any.whl", hash = "sha256:0630c2d26448d7c6cb78435e6c43910c89e99387badea6be1f565ffa3f093f1d"},
+    {file = "transformers-4.33.1.tar.gz", hash = "sha256:744265e9f0724d22c229938f28376af54abce730ef647f35bd1685abf49912a4"},
 ]
 
 [package.dependencies]
@@ -3651,13 +3778,13 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
 
 [[package]]
 name = "virtualenv"
-version = "20.24.4"
+version = "20.24.5"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.24.4-py3-none-any.whl", hash = "sha256:29c70bb9b88510f6414ac3e55c8b413a1f96239b6b789ca123437d5e892190cb"},
-    {file = "virtualenv-20.24.4.tar.gz", hash = "sha256:772b05bfda7ed3b8ecd16021ca9716273ad9f4467c801f27e83ac73430246dca"},
+    {file = "virtualenv-20.24.5-py3-none-any.whl", hash = "sha256:b80039f280f4919c77b30f1c23294ae357c4c8701042086e3fc005963e4e537b"},
+    {file = "virtualenv-20.24.5.tar.gz", hash = "sha256:e8361967f6da6fbdf1426483bfe9fca8287c242ac0bc30429905721cefbff752"},
 ]
 
 [package.dependencies]
@@ -3990,4 +4117,4 @@ huggingface-agent = ["accelerate", "datasets", "diffusers", "opencv-python", "se
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.8.1"
-content-hash = "77c62b53ace55e9792ae73a7ccb781046f80d16212020722c7a2fdb14f517804"
+content-hash = "ef8ff37a1b548adebcf6eadabd284867344f03bc388a94b074c1e9dc89db2bbc"
diff --git a/pyproject.toml b/pyproject.toml
index d04b3d5b8..18859e378 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,6 +35,9 @@ types-colorama = "^0"
 types-requests = "^2"
 bs4 = "^0"
 protobuf = "^4"
+docx2txt = "^0.8" 
+PyMuPDF = "^1.22.5"  
+pathlib = "^1.0.1"   
 
 transformers = { version = "^4", optional = true }
 diffusers = { version = "^0", optional = true }
@@ -135,6 +138,9 @@ module = [
     "huggingface_hub.utils._errors",
     "wikipedia",
     "jsonschema.*",
-    "bs4.*"
+    "bs4.*",
+    "docx2txt",
+    "PyMuPDF",
+    "fitz"
 ]
 ignore_missing_imports = true
diff --git a/test/data_samples/test_hello.docx b/test/data_samples/test_hello.docx
new file mode 100644
index 000000000..66a552d83
Binary files /dev/null and b/test/data_samples/test_hello.docx differ
diff --git a/test/data_samples/test_hello.html b/test/data_samples/test_hello.html
new file mode 100644
index 000000000..5e1c309da
--- /dev/null
+++ b/test/data_samples/test_hello.html
@@ -0,0 +1 @@
+Hello World
\ No newline at end of file
diff --git a/test/data_samples/test_hello.json b/test/data_samples/test_hello.json
new file mode 100644
index 000000000..38d3d006d
--- /dev/null
+++ b/test/data_samples/test_hello.json
@@ -0,0 +1,3 @@
+{
+    "message": "Hello World"
+}
\ No newline at end of file
diff --git a/test/data_samples/test_hello.pdf b/test/data_samples/test_hello.pdf
new file mode 100644
index 000000000..4bb8c9421
Binary files /dev/null and b/test/data_samples/test_hello.pdf differ
diff --git a/test/data_samples/test_hello.txt b/test/data_samples/test_hello.txt
new file mode 100644
index 000000000..5e1c309da
--- /dev/null
+++ b/test/data_samples/test_hello.txt
@@ -0,0 +1 @@
+Hello World
\ No newline at end of file
diff --git a/test/data_samples/test_hello_multi.docx b/test/data_samples/test_hello_multi.docx
new file mode 100644
index 000000000..302e1c178
Binary files /dev/null and b/test/data_samples/test_hello_multi.docx differ
diff --git a/test/data_samples/test_hello_multi.pdf b/test/data_samples/test_hello_multi.pdf
new file mode 100644
index 000000000..91d92cadf
Binary files /dev/null and b/test/data_samples/test_hello_multi.pdf differ
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+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+from io import BytesIO
+from pathlib import Path
+
+import pytest
+
+from camel.functions.data_io_functions import (
+    DocxFile,
+    File,
+    HtmlFile,
+    JsonFile,
+    PdfFile,
+    TxtFile,
+    read_file,
+    strip_consecutive_newlines,
+)
+
+
+# Define a FakeFile class for testing purposes
+class FakeFile(File):
+    """A fake file for testing purposes"""
+
+    @classmethod
+    def from_bytes(cls, file: BytesIO) -> "FakeFile":
+        return NotImplemented
+
+
+# Define paths to test resources
+UNIT_TESTS_ROOT = Path(__file__).parent.resolve()
+TESTS_ROOT = UNIT_TESTS_ROOT.parent.resolve()
+PROJECT_ROOT = TESTS_ROOT.parent.resolve()
+RESOURCE_ROOT = PROJECT_ROOT / "test"
+SAMPLE_ROOT = RESOURCE_ROOT / "data_samples"
+
+
+# Test functions for each file type
+def test_docx_file():
+    with open(SAMPLE_ROOT / "test_hello.docx", "rb") as f:
+        file = BytesIO(f.read())
+        file.name = "test.docx"
+        docx_file = DocxFile.from_bytes(file)
+
+    assert docx_file.name == "test.docx"
+    assert len(docx_file.docs) == 1
+    # Access 'page_content' from the dictionary in the docs list
+    assert docx_file.docs[0]["page_content"] == "Hello World"
+
+
+def test_docx_file_with_multiple_pages():
+    with open(SAMPLE_ROOT / "test_hello_multi.docx", "rb") as f:
+        file = BytesIO(f.read())
+        file.name = "test.docx"
+        docx_file = DocxFile.from_bytes(file)
+
+    assert docx_file.name == "test.docx"
+    assert len(docx_file.docs) == 1
+    # Access 'page_content' from the dictionary in the docs list
+    assert (docx_file.docs[0]["page_content"] ==
+            "Hello World 1\nHello World 2\nHello World 3")
+
+
+def test_pdf_file_with_single_page():
+    with open(SAMPLE_ROOT / "test_hello.pdf", "rb") as f:
+        file = BytesIO(f.read())
+        file.name = "test_hello.pdf"
+        pdf_file = PdfFile.from_bytes(file)
+
+    assert pdf_file.name == "test_hello.pdf"
+    assert len(pdf_file.docs) == 1
+    # Access 'page_content' from the dictionary in the docs list
+    assert pdf_file.docs[0]["page_content"] == "Hello World"
+
+
+def test_pdf_file_with_multiple_pages():
+    with open(SAMPLE_ROOT / "test_hello_multi.pdf", "rb") as f:
+        file = BytesIO(f.read())
+        file.name = "test_hello_multiple.pdf"
+        pdf_file = PdfFile.from_bytes(file)
+
+    assert pdf_file.name == "test_hello_multiple.pdf"
+    assert len(pdf_file.docs) == 3
+    assert pdf_file.docs[0]["page_content"] == "Hello World 1"
+    assert pdf_file.docs[1]["page_content"] == "Hello World 2"
+    assert pdf_file.docs[2]["page_content"] == "Hello World 3"
+
+
+def test_txt_file():
+    with open(SAMPLE_ROOT / "test_hello.txt", "rb") as f:
+        file = BytesIO(f.read())
+        file.name = "test.txt"
+        txt_file = TxtFile.from_bytes(file)
+
+    assert txt_file.name == "test.txt"
+    assert len(txt_file.docs) == 1
+    # Access 'page_content' from the dictionary in the docs list
+    assert txt_file.docs[0]["page_content"] == "Hello World"
+
+
+def test_json_file():
+    with open(SAMPLE_ROOT / "test_hello.json", "rb") as f:
+        file = BytesIO(f.read())
+        file.name = "test.json"
+        json_file = JsonFile.from_bytes(file)
+
+    assert json_file.name == "test.json"
+    assert len(json_file.docs) == 1
+    # Access 'page_content' from the dictionary in the docs list
+    assert json_file.docs[0]["page_content"] == '{"message": "Hello World"}'
+
+
+def test_html_file():
+    with open(SAMPLE_ROOT / "test_hello.html", "rb") as f:
+        file = BytesIO(f.read())
+        file.name = "test.html"
+        html_file = HtmlFile.from_bytes(file)
+
+    assert html_file.name == "test.html"
+    assert len(html_file.docs) == 1
+    # Access 'page_content' from the dictionary in the docs list
+    assert html_file.docs[0]["page_content"] == "Hello World"
+
+
+# Test the `read_file` function with each file type
+def test_read_file():
+    for ext, FileClass in [
+        (".docx", DocxFile),
+        (".pdf", PdfFile),
+        (".txt", TxtFile),
+        (".json", JsonFile),
+        (".html", HtmlFile),
+    ]:
+        with open(SAMPLE_ROOT / f"test_hello{ext}", "rb") as f:
+            file = BytesIO(f.read())
+            file.name = f"test_hello{ext}"
+            file_obj = read_file(file)
+
+        assert isinstance(file_obj, FileClass)
+        assert file_obj.name == f"test_hello{ext}"
+        assert len(file_obj.docs) == 1
+        # Access 'page_content' from the dictionary in the docs list
+        assert (file_obj.docs[0]["page_content"] == "Hello World"
+                or '{"message": "Hello World"}')
+
+
+# Test that read_file raises a NotImplementedError for unsupported file types
+def test_read_file_not_implemented():
+    file = BytesIO(b"Hello World")
+    file.name = "test.unknown"
+    with pytest.raises(NotImplementedError):
+        read_file(file)
+
+
+# Test the File.copy() method
+def test_file_copy():
+    # Create a Document and FakeFile instance
+    document = {"page_content": "test content", "metadata": {"page": "1"}}
+    file = FakeFile("test_file", "1234", {"author": "test"}, [document])
+
+    # Create a copy of the file
+    file_copy = file.copy()
+
+    # Check that the original and copy are distinct objects
+    assert file is not file_copy
+
+    # Check that the copy has the same attributes as the original
+    assert file.name == file_copy.name
+    assert file.id == file_copy.id
+
+    # Check that the mutable attributes were deeply copied
+    assert file.metadata == file_copy.metadata
+    assert file.metadata is not file_copy.metadata
+
+    # Check that the documents were deeply copied
+    assert file.docs == file_copy.docs
+    assert file.docs is not file_copy.docs
+
+    # Check that individual documents are not the same objects
+    assert file.docs[0] is not file_copy.docs[0]
+
+    # Check that the documents have the same attributes
+    assert file.docs[0]["page_content"] == file_copy.docs[0]["page_content"]
+    assert file.docs[0]["metadata"] == file_copy.docs[0]["metadata"]
+
+
+# Test the strip_consecutive_newlines function
+def test_strip_consecutive_newlines():
+    # Test with multiple consecutive newlines
+    text = "\n\n\n"
+    expected = "\n"
+    assert strip_consecutive_newlines(text) == expected
+
+    # Test with newlines and spaces
+    text = "\n \n \n"
+    expected = "\n"
+    assert strip_consecutive_newlines(text) == expected
+
+    # Test with newlines and tabs
+    text = "\n\t\n\t\n"
+    expected = "\n"
+    assert strip_consecutive_newlines(text) == expected
+
+    # Test with mixed whitespace characters
+    text = "\n \t\n \t \n"
+    expected = "\n"
+    assert strip_consecutive_newlines(text) == expected
+
+    # Test with no consecutive newlines
+    text = "\nHello\nWorld\n"
+    expected = "\nHello\nWorld\n"
+    assert strip_consecutive_newlines(text) == expected