Devx 265 improve readme python sdk

README.md

@@ -29,26 +29,29 @@ This is the official Python client for interacting with our powerful [API](https
 
 ## Table Of Contents
 
-* **[Installation](#installation)**
-* **[Getting Started](#getting-started)**
-* **[Interacting with Datasets](#interacting-with-datasets)**
-* **[Interacting with Inputs](#interacting-with-inputs)**
+* **[Installation](#rocket-installation)**
+* **[Getting Started](#memo-getting-started)**
+* **[Interacting with Datasets](#floppy_disk-interacting-with-datasets)**
+* **[Interacting with Inputs](#floppy_disk-interacting-with-inputs)**
   * [Input Upload](#input-upload)
   * [Input Listing](#input-listing)
-* **[Interacting with Models](#interacting-with-models)**
+* **[Interacting with Models](#brain-interacting-with-models)**
+  * [Model Predict](#model-predict)
+  * [Model Listing](#models-listing)
+* **[Interacting with Workflows](#fire-interacting-with-workflows)**
   * [Workflow Predict](#workflow-predict)
   * [Workflow Listing](#workflows-listing)
   * [Workflow Create](#workflow-create)
   * [Workflow Export](#workflow-export)
-* **[More Examples](#more-examples)**
+* **[More Examples](#pushpin-more-examples)**
 
 
 
 
 
 
 
-## 🚀 Installation
+## :rocket: Installation
 
 
 Install from PyPi:
@@ -94,7 +97,9 @@ apps_generator = client.list_apps()
 apps = list(apps_generator)
 ```
 
-## 💾 Interacting with Datasets
+
+## :floppy_disk: Interacting with Datasets
+
 Clarifai datasets help in managing datasets used for model training and evaluation. It provides functionalities like creating datasets,uploading datasets and exporting datasets as .zip files.
 
 ```python
@@ -120,7 +125,9 @@ Dataset().export(save_path='output.zip', local_archive_path='clarifai-data-proto
 ```
 
 
-## 💾  Interacting with Inputs
+
+## :floppy_disk: Interacting with Inputs
+
 You can use ***inputs()*** for adding and interacting with input data. Inputs can be uploaded directly from a URL or a file. You can also view input annotations and concepts.
 
 #### Input Upload
@@ -155,7 +162,9 @@ all_concepts = list(app.list_concepts())
 ```
 
 
-## 🥁 Interacting with Models
+
+## :brain: Interacting with Models
+
 The **Model** Class allows you to perform predictions using Clarifai models. You can specify which model to use by providing the model URL or ID. This gives you flexibility in choosing models. The **App** Class also allows listing of all available Clarifai models for discovery.
 For greater control over model predictions, you can pass in an `output_config` to modify the model output as demonstrated below.
 #### Model Predict
@@ -205,7 +214,9 @@ all_llm_community_models = App().list_models(filter_by={"query": "LLM",
 all_llm_community_models = list(all_llm_community_models)
 ```
 
-## 🔥 Interacting with Workflows
+
+## :fire: Interacting with Workflows
+
 Workflows offer a versatile framework for constructing the inference pipeline, simplifying the integration of diverse models. You can use the **Workflow** class to create and manage workflows using **YAML** configuration.
 For starting or making quick adjustments to existing Clarifai community workflows using an initial YAML configuration, the SDK provides an export feature.
 
@@ -259,6 +270,8 @@ workflow = Workflow("https://clarifai.com/clarifai/main/workflows/Demographics")
 workflow.export('demographics_workflow.yml')
 ```
 
-## 📌 More Examples
+
+## :pushpin: More Examples
+
 See many more code examples in this [repo](https://github.com/Clarifai/examples).
 Also see the official [Python SDK docs](https://clarifai-python.readthedocs.io/en/latest/index.html)