From md to html

app.py

@@ -118,7 +118,7 @@ def ui_main():
         gr.HTML(
             """
             <div style="text-align: center;">
-                <img src="assets/logo_header.png" alt="Header Image" />
+                <img src="https://raw.githubusercontent.com/Shekswess/synthgenai/refs/heads/main/docs/assets/logo_header.png" alt="Header Image" />
                 <h1>SynthGenAI Dataset Generator</h1>
 
                 <h2>Overview 🧐</h2>
@@ -127,19 +127,16 @@ def ui_main():
                 <h2>Why SynthGenAI? 🤔</h2>
                 <p>Interest in synthetic data generation has surged recently, driven by the growing recognition of data as a critical asset in AI development. Synthetic data generation addresses challenges by allowing us to create diverse and useful datasets using current pre-trained Large Language Models (LLMs).</p>
 
+                <h2>LLM Providers 🤖</h2>
+                <p>For more information on which LLMs are allowed and how they can be used, please refer to the <a href="https://shekswess.github.io/synthgenai/llm_providers/">documentation</a>.</p>
+                
                 <a href="https://github.com/Shekswess/synthgenai/tree/main">GitHub Repository</a> | <a href="https://shekswess.github.io/synthgenai/">Documentation</a>
 
-                <p>For more information on which LLMs are allowed and how they can be used, please refer to the <a href="https://shekswess.github.io/synthgenai/llm_providers/">documentation</a>.</p>
+                
             </div>
             """
         )
 
-        with gr.Row():
-            hf_token = gr.Textbox(
-                label="Hugging Face Token to Save Dataset",
-                placeholder="Your HF Token",
-                type="password",
-            )
 
         with gr.Row():
             llm_model = gr.Textbox(
@@ -176,18 +173,23 @@ def ui_main():
                 value="This dataset must be more focused on healthcare implementations of AI, Machine Learning, and Deep Learning.",
             )
             num_entries = gr.Number(label="Number of Entries To Generated", value=1000)
+            llm_env_vars = gr.Textbox(
+                label="LLM Environment Variables",
+                placeholder="Comma-separated environment variables (e.g., KEY1=VALUE1, KEY2=VALUE2)",
+                value="HUGGINGFACE_API_KEY=hf_1234566789912345677889, OPENAI_API_KEY=sk-1234566789912345677889",
+            )
 
         with gr.Row():
+            hf_token = gr.Textbox(
+                label="Hugging Face Token to Save Dataset",
+                placeholder="Your HF Token",
+                type="password",
+            )
             hf_repo_name = gr.Textbox(
                 label="Hugging Face Repo Name",
                 placeholder="organization_or_user_name/dataset_name",
                 value="Shekswess/synthgenai-dataset",
             )
-            llm_env_vars = gr.Textbox(
-                label="LLM Environment Variables",
-                placeholder="Comma-separated environment variables (e.g., KEY1=VALUE1, KEY2=VALUE2)",
-                value="HUGGINGFACE_API_KEY=hf_1234566789912345677889, OPENAI_API_KEY=sk-1234566789912345677889",
-            )
 
         generate_button = gr.Button("Generate Dataset")
         output = gr.Textbox(label="Operation Result", value="")