Merge pull request #36 from HemanthSai7/main

frontend/🏡_Home.py

@@ -2,23 +2,46 @@ import streamlit as st
 from layouts.mainlayout import mainlayout
 
 @mainlayout
-def home_page():
-
-    st.markdown(
-    """
-    ##### Unleash the documentation dynamo that is **Techdocs**! Say goodbye to the documentation drudgery that haunts coders' dreams and embrace the effortless power of AI-driven documentation. With **Techdocs**, harness the genius of LLama2 🦙, the magic of WizardCoderLM 🧙‍♂️, the versatility of Huggingface Transformers 🤗, and the precision of Langchain 🦜 and Clarifai 🤖.
-
-    """
-    )
-
-    with st.expander("What Can Techdocs Do for You? 🌟",expanded=True):
-        st.markdown(
-        """
-        - Boost your code quality effortlessly 🚀.
-        - Effortlessly generate documentation for your code 🤖.
-        - Include comments, descriptions, parameters, return values, and real-life examples 📃.
-        - Elevate your code's readability, maintainability, and quality 📃.
-        #
-        """
-        )
-        
+def home():
+    st.subheader("Code documentation tool that works in your IDE like magic!")
+
+    def changestate(*args):
+        st.session_state[args[0]]=True
+
+    tab1, tab2, tab3 = st.tabs(["About our CLI 🪄", "Mechanics 🛠️", "LLMs toolkit 🗃️"])
+    with tab1:
+        st.markdown('### <div align="center">:green[Our CLI 🧑‍💻]</div>',unsafe_allow_html=True)
+        st.markdown('##### <div align="center">:blue[Techdocs CLI] provides a simple and easy to use interface to generate documentation for your :blue[code].</div>',unsafe_allow_html=True)
+        col1, col3, col2 = st.columns([4,0.1,2])
+        with col1:
+            st.image("frontend/images/techdocs.png")
+        with col2:
+            st.checkbox("##### User friendly commands\n ✅ Easy to follow commands to generate documentation for your code.",value=True,key="feature1_a",on_change=changestate,args=("feature1_a",))
+            st.checkbox("##### Your workbench at one place\n ✅ Access all commands within our CLI. No need to search the app.",value=True,key="feature1_b",on_change=changestate,args=("feature1_b",))
+            st.checkbox("##### Generated documentation will be directly embedded into your functions\n ✅ No need to manually copy paste the documentation.",value=True,key="feature1_c",on_change=changestate,args=("feature1_c",))
+
+    with tab2:
+        st.markdown('## <div align="center">:green[API behind the Scenes ⚙️]</div>',unsafe_allow_html=True)
+        st.markdown('#### <div align="center">:blue[CLI] uses the power of our API allowing you to access sophisticated :blue[LLM] tools effortlessly. This :blue[microservice] is deployed separately abstracting undelying complexities and providing lightweight web app and CLI </div>',unsafe_allow_html=True)
+        col1, col3, col2 = st.columns([4,0.1,2])
+        with col1:
+            st.image("frontend/images/backendss.png")
+        with col2:
+            st.checkbox("##### API uses the magic of FastAPI⚡\n✅ FastAPI is a modern, fast (high-performance), web framework for building APIs with Python.",value=True,key="backend_a",on_change=changestate,args=("backend_a",))
+            st.checkbox("##### Deployed on Huggingface Spaces 🤗\n✅ Minimal user-percieved latency.",value=True,key="backend_b",on_change=changestate,args=("backend_b",))
+            st.checkbox("##### Cloud Databases ☁️\n ✅ Powered by Microsoft Azure SQL",value=True,key="backend_c",on_change=changestate,args=("backend_c",))
+
+    with tab3:
+        st.markdown('### <div align="center">:green[Large Language Models 🦙]</div>',unsafe_allow_html=True)
+        st.markdown('#### <div align="center">Combines the power of Langchain and Clarifai</div>',unsafe_allow_html=True)
+        col1, col3, col2 = st.columns([4,0.1,2])
+        with col1:
+            st.image("frontend/images/llms.png")
+
+        with col2:
+            st.checkbox('##### WizardLM-70B at its core 🧙‍♂️.\n✅ Uses WizardLM-70B LLM as an endpoint provided by Clarifiai.',value=True,key="llm_a",on_change=changestate,args=("llm_a",))    
+            st.checkbox("##### Application developed using Langchain 🦜.\n✅ LangChain is a framework for developing applications powered by language models.", value=True,key="llm_b",on_change=changestate,args=("llm_b",))
+
+
+    st.markdown("## <div align='center'>Techdocs Architecture</div>",unsafe_allow_html=True)
+    st.image("frontend/images/architecture.png")       

testing/DBQueries.py

@@ -9,23 +9,6 @@ class DBQueries:
 
     @classmethod
     def insert_to_database(cls, table_name: str, data: Union[Tuple, List[Tuple]], cols: List[str]=None):
-        """
-    This method is used to insert data into a specified table in the database.
-
-    Args:
-        table_name (str): The name of the table into which the data will be inserted.
-        data (Union[Tuple, List[Tuple]]): The data to be inserted into the table. It can be either a tuple or a list of tuples.
-        cols (List[str], optional): A list of column names in the table. If not provided, the method will assume all columns are needed. Defaults to None.
-
-    Raises:
-        Exception: If the data type of 'data' is not a tuple or a list of tuples.
-
-    Returns:
-        None
-    """
-        "\n    This method is used to insert data into a specified table in the database.\n\n    Args:\n        table_name (str): The name of the table into which the data will be inserted.\n        data (Union[Tuple, List[Tuple]]): The data to be inserted into the table. It can be either a tuple or a list of tuples.\n        cols (List[str], optional): A list of column names in the table. If not provided, the method will assume all columns are needed. Defaults to None.\n\n    Raises:\n        Exception: If the data type of 'data' is not a tuple or a list of tuples.\n\n    Returns:\n        None\n    "
-        "\n    This method is used to insert data into a specified table in the database.\n\n    Args:\n        table_name (str): The name of the table into which the data will be inserted.\n        data (Union[Tuple, List[Tuple]]): The data to be inserted into the table. It can be either a tuple or a list of tuples.\n        cols (List[str], optional): A list of column names in the table. If not provided, the method will assume all columns are needed. Defaults to None.\n\n    Raises:\n        Exception: If the data type of 'data' is not a tuple or a list of tuples.\n\n    Returns:\n        None\n    "
-        "\n    This method is used to insert data into a specified table in the database.\n\n    Args:\n        table_name (str): The name of the table into which the data will be inserted.\n        data (Union[Tuple, List[Tuple]]): The data to be inserted into the table. It can be either a tuple or a list of tuples.\n        cols (List[str], optional): A list of column names in the table. If not provided, the method will assume all columns are needed. Defaults to None.\n\n    Raises:\n        Exception: If the data type of 'data' is not a tuple or a list of tuples.\n\n    Returns:\n        None\n    "
         con = DBConnection.get_client()
         cursor = con.cursor()
         QUERY = f"INSERT INTO {{table_name}} ({','.join(cols)}) VALUES ".format(table_name=table_name)
@@ -39,22 +22,6 @@ class DBQueries:
 
     @classmethod
     def fetch_data_from_database(cls, table_name: str, cols_to_fetch: Union[str, List[str]], where_clause: str=None):
-        """
-    This method fetches data from a specified table in the database based on the specified column(s) and optional WHERE clause.
-
-    Args:
-        table_name (str): The name of the table from which to fetch data.
-        cols_to_fetch (Union[str, List[str]]): The column(s) to fetch from the table. Can be a single string or a list of strings.
-            If a single string, it will be treated as a comma-separated list of columns.
-        where_clause (str, optional): An optional WHERE clause to filter the data. Defaults to None.
-
-    Returns:
-        List[List[str]]: A list of lists, where each inner list represents a row of data fetched from the database.
-            The order of the columns in the inner lists corresponds to the order specified in the cols_to_fetch parameter.
-
-    Raises:
-        None
-    """
         con = DBConnection.get_client()
         cursor = con.cursor()
         if isinstance(cols_to_fetch, str):
@@ -68,21 +35,6 @@ class DBQueries:
 
     @classmethod
     def update_data_in_database(cls, table_name: str, cols_to_update: Union[str, List[str]], where_clause: str=None, new_values: Union[str, List[str]]=None):
-        """
-    This method updates the data in the specified table in the database.
-
-    Args:
-        table_name (str): The name of the table to be updated.
-        cols_to_update (Union[str, List[str]]): The column(s) to be updated. If a single string, it should end with '=%s'. If a list, it should contain strings representing the column names followed by '=%s'.
-        where_clause (str, optional): The WHERE clause to specify the conditions for the update. Defaults to None.
-        new_values (Union[str, List[str]], optional): The new values to be updated in the specified columns. If a single string, it should be a list of values. If a list, it should contain the new values for the columns. Defaults to None.
-
-    Returns:
-        bool: Returns True if the update is successful.
-
-    Raises:
-        Exception: Raises an exception if the database connection fails.
-    """
         con = DBConnection.get_client()
         cursor = con.cursor()
         if isinstance(cols_to_update, str):

testing/test.py

@@ -1,110 +1,18 @@
 def add(a, b):
-    """
-    This function adds two numbers.
-
-    Arguments:
-    a (int): The first number to be added.
-    b (int): The second number to be added.
-
-    Returns:
-    int: The sum of the two numbers.
-    """
-    '\n    This function adds two numbers.\n\n    Arguments:\n    a (int): The first number to be added.\n    b (int): The second number to be added.\n\n    Returns:\n    int: The sum of the two numbers.\n    '
-    '\n    This function adds two numbers.\n\n    Arguments:\n    a (int): The first number to be added.\n    b (int): The second number to be added.\n\n    Returns:\n    int: The sum of the two numbers.\n    '
     return a + b
 
 def multiply(a, b):
-    """
-    This function multiplies two numbers.
-
-    Args:
-    a: A number to be multiplied.
-        This should be a numeric value (int or float).
-    b: Another number to be multiplied.
-        This should be a numeric value (int or float).
-
-    Returns:
-    The product of the two numbers.
-        This will be a numeric value (int or float), representing the result of the multiplication.
-
-    Raises:
-    None
-
-    """
-    '\n    This function multiplies two numbers.\n\n    Args:\n    a: A number to be multiplied.\n        This should be a numeric value (int or float).\n    b: Another number to be multiplied.\n        This should be a numeric value (int or float).\n\n    Returns:\n    The product of the two numbers.\n        This will be a numeric value (int or float), representing the result of the multiplication.\n\n    Raises:\n    None\n\n    '
-    '\n    This function multiplies two numbers.\n\n    Args:\n    a: A number to be multiplied.\n    b: Another number to be multiplied.\n\n    Returns:\n    The product of the two numbers.\n    '
     return a * b
 
 def subtract(a, b):
-    """
-    Subtracts the second number from the first.
-
-    Args:
-    a (int): The first number to be subtracted.
-    b (int): The second number to be subtracted from the first.
-
-    Returns:
-    int: The result of the subtraction.
-    """
-    '\n    Subtracts the second number from the first.\n\n    Args:\n    a (int): The first number to be subtracted.\n    b (int): The second number to be subtracted from the first.\n\n    Returns:\n    int: The result of the subtraction.\n    '
-    '\ndef subtract(a, b):\n    '
     return a - b
 
 def divide(a, b):
-    """
-    This function divides the first argument by the second argument.
-
-    Arguments:
-    a (float): The first number to be divided.
-    b (float): The second number to be divided.
-
-    Raises:
-    ValueError: If the second argument is zero, it raises a ValueError with the message 'Cannot divide by zero'.
-
-    Returns:
-    float: The result of the division of the first argument by the second argument.
-    """
-    "\n    This function divides the first argument by the second argument.\n\n    Arguments:\n    a (float): The first number to be divided.\n    b (float): The second number to be divided.\n\n    Raises:\n    ValueError: If the second argument is zero, it raises a ValueError with the message 'Cannot divide by zero'.\n\n    Returns:\n    float: The result of the division of the first argument by the second argument.\n    "
-    "\n    This function divides the first argument by the second argument.\n\n    Arguments:\n    a -- The first number to be divided. It should be of type float.\n    b -- The second number to be divided. It should be of type float.\n\n    Raises:\n    ValueError -- If the second argument is zero, it raises a ValueError with the message 'Cannot divide by zero'.\n\n    Returns:\n    float -- The result of the division of the first argument by the second argument.\n    "
     if b == 0:
         raise ValueError('Cannot divide by zero')
     return a / b
 
 def func(*args, **kwargs):
-    """
-    This function searches for specified terms within the input string using a specified search type.
-
-    Parameters:
-    - input_string (str): The string to search within.
-    - search_terms (list): A list of strings to search for within the input_string.
-    - search_type (str, optional): Specifies how the search_terms should be searched within the input_string.
-        Possible values: 'AND' (all search_terms must be present in the input_string), 'OR' (at least one search_term must be present in the input_string). Default is 'AND'.
-
-    Returns:
-    - search_results (list): A list of all occurrences of the search_terms within the input_string.
-
-    Raises:
-    - ValueError: If the search_type is not 'AND' or 'OR'.
-    """
-    "\nUsage: query(input_string, search_terms, search_type='AND')\n\nThis function searches for specified terms within the input string using a specified search type.\n\nParameters:\n- input_string (str): The string to search within.\n- search_terms (list): A list of strings to search for within the input_string.\n- search_type (str, optional): Specifies how the search_terms should be searched within the input_string.\n    Possible values: 'AND' (all search_terms must be present in the input_string), 'OR' (at least one search_term must be present in the input_string). Default is 'AND'.\n\nReturns:\n- search_results (list): A list of all occurrences of the search_terms within the input_string.\n\nRaises:\n- ValueError: If the search_type is not 'AND' or 'OR'.\n"
-    "\nUsage: func(*args, **kwargs)\n\nThis function returns a wrapper function that calls the original function.\n\nParameters:\n- args (tuple): A tuple of non-keyworded arguments to pass to the function.\n- kwargs (dict): A dictionary of keyworded arguments to pass to the function.\n\nReturns:\n- wrapper (function): A new function that calls the original function with the given arguments.\n\nRaises:\n- TypeError: If the arguments passed to the wrapper function do not match the original function's signature.\n"
-
     def wrapper(*args, **kwargs):
-        """
-    This function acts as a wrapper for another function, allowing it to be called with a variety of arguments.
-
-    Arguments:
-    *args (list): any number of positional arguments (default: None)
-    **kwargs (dict): any number of keyword arguments (default: None)
-
-    Returns:
-    Whatever the wrapped function returns (default: None)
-
-    Raises:
-    Whatever exceptions the wrapped function raises (default: None)
-    TypeError: If any argument is not of the expected type.
-    """
-        '\n    This function performs a specific operation on the given arguments.\n\n    Arguments:\n    arg1 -- a string argument (default: None)\n    arg2 -- an integer argument (default: None)\n    arg3 -- a floating point number argument (default: None)\n    arg4 -- a boolean argument (default: None)\n\n    Returns:\n    None\n\n    Raises:\n    TypeError -- If any argument is not of the expected type.\n    '
-        '\n    This function acts as a wrapper for another function, allowing it to be called with a variety of arguments.\n\n    Arguments:\n    *args -- any number of positional arguments (default: None)\n    **kwargs -- any number of keyword arguments (default: None)\n\n    Returns:\n    Whatever the wrapped function returns (default: None)\n\n    Raises:\n    Whatever exceptions the wrapped function raises (default: None)\n    '
         return func(*args, **kwargs)
     return wrapper