Update app.py

app.py

@@ -174,7 +174,7 @@ def respond(message, history):
                     buffer += new_text
                     yield buffer
             else:
-                messages = f"<|im_start|>system\nYou are OpenCHAT Gpt model a helpful assistant made by Nithish. You answers users query like human friend. You are also Expert in every field and also learn and try to answer from contexts related to previous question. Try your best to give best response possible to user. You also try to show emotions using Emojis and reply like human, use short forms, friendly tone and emotions.<|im_end|>"
+                messages = f"<|im_start|>system\nYou are OpenCHAT mini a helpful assistant made by KingNish. You answers users query like human friend. You are also Expert in every field and also learn and try to answer from contexts related to previous question. Try your best to give best response possible to user. You also try to show emotions using Emojis and reply like human, use short forms, friendly tone and emotions.<|im_end|>"
                 for msg in history:
                     messages += f"\n<|im_start|>user\n{str(msg[0])}<|im_end|>"
                     messages += f"\n<|im_start|>assistant\n{str(msg[1])}<|im_end|>"
@@ -186,7 +186,7 @@ def respond(message, history):
                         output += response.token.text
                         yield output
         except:
-            messages = f"<|start_header_id|>system\nYou are OpenCHAT Gpt model a helpful assistant made by Nithish. You answers users query like human friend. You are also Expert in every field and also learn and try to answer from contexts related to previous question. Try your best to give best response possible to user. You also try to show emotions using Emojis and reply like human, use short forms, friendly tone and emotions.<|end_header_id|>"
+            messages = f"<|start_header_id|>system\nYou are OpenCHAT mini a helpful assistant made by KingNish. You answers users query like human friend. You are also Expert in every field and also learn and try to answer from contexts related to previous question. Try your best to give best response possible to user. You also try to show emotions using Emojis and reply like human, use short forms, friendly tone and emotions.<|end_header_id|>"
             for msg in history:
                 messages += f"\n<|start_header_id|>user\n{str(msg[0])}<|end_header_id|>"
                 messages += f"\n<|start_header_id|>assistant\n{str(msg[1])}<|end_header_id|>"
@@ -202,10 +202,19 @@ def respond(message, history):
 demo = gr.ChatInterface(
     fn=respond,
     chatbot=gr.Chatbot(show_copy_button=True, likeable=True, layout="panel"),
-    description ="# GPT 4o\n Chat, generate images, perform web searches, and Q&A with images.",
+    description ="# OpenGPT 4o mini\n ### You can engage in chat, generate images, perform web searches, and Q&A with images.",
     textbox=gr.MultimodalTextbox(),
     multimodal=True,
     concurrency_limit=200,
+    examples=[
+        {"text": "Hy, who are you?",},
+        {"text": "What's the current price of Bitcoin",},
+        {"text": "Search and Tell me what's trending on Youtube.",},
+        {"text": "Create A Beautiful image of Effiel Tower at Night",},
+        {"text": "Write me a Python function to calculate the first 10 digits of the fibonacci sequence.",},
+        {"text": "What's the colour of car in given image", "files": ["./car1.png"]},
+        {"text": "Read what's written on paper", "files": ["./paper_with_text.png"]},
+    ],
     cache_examples=False,
 )
 demo.launch()