[Refactor] Converge Pipeline and App classes (#1021)

Co-authored-by: Deven Patel <deven298@yahoo.com>

docs/api-reference/pipeline/add.mdx

@@ -21,7 +21,7 @@ title: '📊 add'
 ### Load data from webpage
 
 ```python Code example
-from embedchain import Pipeline as App
+from embedchain import App
 
 app = App()
 app.add("https://www.forbes.com/profile/elon-musk")
@@ -32,7 +32,7 @@ app.add("https://www.forbes.com/profile/elon-musk")
 ### Load data from sitemap
 
 ```python Code example
-from embedchain import Pipeline as App
+from embedchain import App
 
 app = App()
 app.add("https://python.langchain.com/sitemap.xml", data_type="sitemap")

docs/api-reference/pipeline/chat.mdx

@@ -36,7 +36,7 @@ title: '💬 chat'
 If you want to get the answer to question and return both answer and citations, use the following code snippet:
 
 ```python With Citations
-from embedchain import Pipeline as App
+from embedchain import App
 
 # Initialize app
 app = App()
@@ -79,7 +79,7 @@ When `citations=True`, note that the returned `sources` are a list of tuples whe
 If you just want to return answers and don't want to return citations, you can use the following example:
 
 ```python Without Citations
-from embedchain import Pipeline as App
+from embedchain import App
 
 # Initialize app
 app = App()

docs/api-reference/pipeline/delete.mdx

@@ -7,7 +7,7 @@ title: 🗑 delete
 ## Usage
 
 ```python
-from embedchain import Pipeline as App
+from embedchain import App
 
 app = App()
 

docs/api-reference/pipeline/deploy.mdx

@@ -9,7 +9,7 @@ The `deploy()` method not only deploys your pipeline but also efficiently manage
 ## Usage
 
 ```python
-from embedchain import Pipeline as App
+from embedchain import App
 
 # Initialize app
 app = App()

docs/api-reference/pipeline/overview.mdx

@@ -41,7 +41,7 @@ You can create an embedchain pipeline instance using the following methods:
 ### Default setting
 
 ```python Code Example
-from embedchain import Pipeline as App
+from embedchain import App
 app = App()
 ```
 
@@ -49,7 +49,7 @@ app = App()
 ### Python Dict
 
 ```python Code Example
-from embedchain import Pipeline as App
+from embedchain import App
 
 config_dict = {
   'llm': {
@@ -76,7 +76,7 @@ app = App.from_config(config=config_dict)
 <CodeGroup>
 
 ```python main.py
-from embedchain import Pipeline as App
+from embedchain import App
 
 # load llm configuration from config.yaml file
 app = App.from_config(config_path="config.yaml")
@@ -103,7 +103,7 @@ embedder:
 <CodeGroup>
 
 ```python main.py
-from embedchain import Pipeline as App
+from embedchain import App
 
 # load llm configuration from config.json file
 app = App.from_config(config_path="config.json")

docs/api-reference/pipeline/query.mdx

@@ -36,7 +36,7 @@ title: '❓ query'
 If you want to get the answer to question and return both answer and citations, use the following code snippet:
 
 ```python With Citations
-from embedchain import Pipeline as App
+from embedchain import App
 
 # Initialize app
 app = App()
@@ -78,7 +78,7 @@ When `citations=True`, note that the returned `sources` are a list of tuples whe
 If you just want to return answers and don't want to return citations, you can use the following example:
 
 ```python Without Citations
-from embedchain import Pipeline as App
+from embedchain import App
 
 # Initialize app
 app = App()

docs/api-reference/pipeline/reset.mdx

@@ -7,7 +7,7 @@ title: 🔄 reset
 ## Usage
 
 ```python
-from embedchain import Pipeline as App
+from embedchain import App
 
 app = App()
 app.add("https://www.forbes.com/profile/elon-musk")

docs/api-reference/pipeline/search.mdx

@@ -24,7 +24,7 @@ title: '🔍 search'
 Refer to the following example on how to use the search api:
 
 ```python Code example
-from embedchain import Pipeline as App
+from embedchain import App
 
 # Initialize app
 app = App()