Update markdowm.py

markdowm.py

@@ -14,7 +14,7 @@ With QueryVault Chatbot, you can interactively query your document, receive cont
 
 ---
 
-## 🚀 **Steps to Use the Document QA Bot**
+## 🚀 **Steps to Use the HundAI QueryVault Chatbot**
 
 1. **Upload Your File**  
    Begin by uploading a document. Supported formats include `.pdf`, `.docx`, `.txt`, `.csv`, `.xlsx`, `.pptx`, `.html`, `.jpg`, `.png`, and more.
@@ -53,18 +53,18 @@ Upon uploading a document, the bot utilizes **LlamaParse** to parse its content.
    - **Best For**: Basic embeddings for straightforward use cases.
 
 ### **LLMs** (For generating answers)
-1. **`mistralai/Mixtral-8x7B-Instruct-v0.1`**  
+1. **`Mixtral-8x7B-Instruct`**  
    - **Size**: 46.7B parameters
    - **Purpose**: Demonstrates compelling performance with minimal fine-tuning. Suited for unmoderated or exploratory use.
-2. **`meta-llama/Meta-Llama-3-8B-Instruct`**  
+2. **`Meta-Llama-3-8B-Instruct`**  
    - **Size**: 8.03B parameters
    - **Purpose**: Optimized for dialogue, emphasizing safety and helpfulness. Excellent for structured, instructive responses.
-3. **`mistralai/Mistral-7B-Instruct-v0.2`**  
+3. **`Mistral-7B`**  
    - **Size**: 7.24B parameters
    - **Purpose**: Fine-tuned for effectiveness; lacks moderation, useful for quick demonstration purposes.
-4. **`tiiuae/falcon-7b-instruct`**  
+4. **`HundAI`**  
    - **Size**: 7.22B parameters
-   - **Purpose**: Robust open-source model for inference, leveraging large-scale data for highly contextual responses.
+   - **Purpose**: Robust fine-tuned model for inference, leveraging large-scale data for highly contextual responses.
 
 ---
 
@@ -123,33 +123,8 @@ guide = '''
 
 | **LLM**                             | **Best Use Case**                       |
 |------------------------------------|-----------------------------------------|
-| `mistralai/Mixtral-8x7B-Instruct-v0.1` | Works well for **both short and long answers** |
-| `meta-llama/Meta-Llama-3-8B-Instruct`  | Ideal for **long-length answers**         |
-| `tiiuae/falcon-7b-instruct`           | Best suited for **short-length answers**  |
+| `Mixtral-8x7B-Instruct-v0.1` | Works well for **both short and long answers** |
+| `Meta-Llama-3-8B-Instruct`  | Ideal for **long-length answers**         |
+| `HundAI`           | Best suited for **short-length answers**  |
 
-'''
-
-footer = """
-<div style="background-color: #1d2938; color: white; padding: 10px; width: 100%; bottom: 0; left: 0; display: flex; justify-content: space-between; align-items: center; padding: .2rem 35px; box-sizing: border-box; font-size: 16px;">
-    <div style="text-align: left;">
-        <p style="margin: 0;">&copy; 2024 </p>
-    </div>
-    <div style="text-align: center; flex-grow: 1;">
-        <p style="margin: 0;">      This website is made with ❤ by SARATH CHANDRA</p>
-    </div>
-    <div class="social-links" style="display: flex; gap: 20px; justify-content: flex-end; align-items: center;">
-        <a href="https://github.com/21bq1a4210" target="_blank" style="text-align: center;">
-            <img src="data:image/png;base64,{}" alt="GitHub" width="40" height="40" style="display: block; margin: 0 auto;">
-            <span style="font-size: 14px;">GitHub</span>
-        </a>
-        <a href="https://www.linkedin.com/in/sarath-chandra-bandreddi-07393b1aa/" target="_blank" style="text-align: center;">
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-</div>
-"""
+'''