Update app.py

app.py

@@ -41,10 +41,35 @@ with gr.Blocks() as demo:
             model to read academic papers in PDF format locally. You can use it to help you summarize papers, 
             create presentation slides, or simply fulfill tasks assigned by your supervisor.\n 
             [Github](https://github.com/talkingwallace/ChatGPT-Paper-Reader)""")
+    with open("./1001epochs.png", "rb") as f:
+        image_data = f.read()
+        image_base64 = base64.b64encode(image_data).decode("utf-8")
+    
+    title = f"""
+        <h2 style="background-image: linear-gradient(to right, #3A5FCD, #87CEFA); -webkit-background-clip: text;
+            -webkit-text-fill-color: transparent; text-align: center;">
+            Speech Emotion Recognition
+        </h2>
+    """
+
+    description = f"""
+    <div style="display: flex; align-items: center; justify-content: center; flex-direction: column;">
+        <p style="font-size: 18px; color: #4AAAFF; text-align: center;">
+            Extract the emotion and tone, Simply upload the audio or text!
+        </p>
+        <div style="display: flex; align-items: center; margin-bottom: 0px;">
+            <img src='data:image/jpeg;base64,{image_base64}' width='50' height='30' style="margin-right: 5px;"/>
+            <p style="font-size: 14px; color: #555;">
+                 Disclaimer: This web app is for demonstration purposes only and not intended for commercial use. Contact: [email protected] for full solution.
+            </p>
+        </div>
+    </div>
+    """
 
     app = GUI()
     upload_button.click(fn=app.analyse, inputs=[api_input, pdf_input], outputs=result)
     ask_button.click(app.ask_question, inputs=question_input, outputs=answer)
+    
 
 if __name__ == "__main__":
     demo.title = "CHATGPT-PAPER-READER"