Update app.py

app.py

@@ -9,7 +9,6 @@ SARATH CHANDRA BANDREDDI
     applications. Dedicated to continuous learning and staying updated with the latest industry trends and technologies. Eager to
     contribute to innovative software solutions and work collaboratively in a team environment.
 ```
-
 # TECH STACK:
 ```
     ➢ Languages : Python, Java, JavaScript, C, R
@@ -31,7 +30,6 @@ SARATH CHANDRA BANDREDDI
     | 10th Class                 | Narayana High School             | 9.7  | 2018-2019  |
     ------------------------------------------------------------------------------------|
 ```
-
 # PROJECTS:
 ```
     ## FACE RECOGNITION VGGFace (LINK-"kaggle-notebook-link:https://www.kaggle.com/code/sarath02003/face-recognition-using-vggface2") -Individual project [Tensorflow | Keras | OpenCV |Django]:
@@ -56,7 +54,6 @@ SARATH CHANDRA BANDREDDI
         advanced features such as user management, complaint registration, and a chatbot assistant. Seamlessly integrated Gemini-Pro 
         LLM with Google API and introduced face recognition technology for enhanced attendance tracking.
         Led the development of a robust and secure Django-based system designed to streamline college resource and access management as part of my End-to-End Project. The platform integrates several key functionalities such as user management, complaint registration, attendance management system, and a chatbot assistant.
-
         Here are my contribution to the project:
         - User Authentication & Security: Developed a comprehensive user authentication system using Django's default authentication and implemented 2-Step Verification (2SV) for password recovery, improving overall system security and reliability. Engineered a single-page application for password recovery with two-step verification, enhancing user convenience.
         - Face Recognition Attendance System: Created a one short face recognition model using FaceNet and MTCNN to manage attendance, with a unique feature allowing students to mark their attendance only once per day and within the campus premises. This innovation ensures strict attendance integrity and security.
@@ -87,7 +84,6 @@ SARATH CHANDRA BANDREDDI
         Here is the ("notebook link: Object_Segmentation_&_ComparisonObject_Segmentation_&_Comparison.ipynb:https://colab.research.google.com/drive/1cpNEx_u70I26Ex0alZZxoFa47p6fpoDz?usp=sharing")
     ```
 ```
-
 #CERTIFICATION:
 ```
     ➢ Python Programming : Kaggle, SoloLearn, HackerRank, GUVI.
@@ -109,6 +105,7 @@ SARATH CHANDRA BANDREDDI
     ```
         - LinkedIn:"https://www.linkedin.com/in/sarath-chandra-bandreddi-07393b1aa/"
         - MyPortfolio:"https://21bq1a4210.github.io/MyPortfolio-/"
+        - 
     ```
 ```
 '''
@@ -120,9 +117,9 @@ def respond(
     message,
     history: list[tuple[str, str]],
     system_message,
-    max_tokens=512,
-    temperature=0.7,
-    top_p=.95,
+    max_tokens,
+    temperature,
+    top_p,
 ):
     # System message defining assistant behavior
     system_message = {
@@ -165,12 +162,12 @@ def respond(
 # Gradio interface with additional sliders for control
 demo = gr.ChatInterface(
     respond,
-    # additional_inputs=[
-    #     gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-    #     gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-    #     gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-    #     gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
-    # ],
+    additional_inputs=[
+        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
+    ],
 )
 
 if __name__ == "__main__":
@@ -239,4 +236,4 @@ if __name__ == "__main__":
 
 
 # if __name__ == "__main__":
-#     demo.launch()
+#     demo.launch()