Update app.py

app.py

@@ -1,3 +1,44 @@
 import gradio as gr
-demo = gr.Interface(api_name="https://sha1779-royalgpt.hf.space/", inputs="image", outputs="label")
-demo.launch()
+from gradio_client import Client
+
+
+
+
+title = "RoyalGPT 7B Chatbot"
+description = """
+This Space demonstrates model [RoyalGPT-7B-chat-hf] by CCL, a Llama 2 model with 7B parameters fine-tuned for Bangla chat instructions. 
+"""
+css = """.toast-wrap { display: none !important } """
+examples=[
+    ['Hello there! How are you doing?'],
+    ['Can you explain to me briefly what is Python programming language?'],
+    ['Explain the plot of Cinderella in a sentence.'],
+    ['How many hours does it take a man to eat a Helicopter?'],
+    ["Write a 100-word article on 'Benefits of Open-Source in AI research'"],
+    ]
+
+
+# Stream text
+def predict(message, chatbot, system_prompt="", temperature=0.9, max_new_tokens=4096):
+    
+    client = Client("https://sha1779-royalgpt.hf.space/")
+    return client.predict(
+			message,	# str in 'Message' Textbox component
+            system_prompt,	# str in 'Optional system prompt' Textbox component
+			temperature,	# int | float (numeric value between 0.0 and 1.0)
+			max_new_tokens,	# int | float (numeric value between 0 and 4096)
+			0.3,	# int | float (numeric value between 0.0 and 1)
+			1,	# int | float (numeric value between 1.0 and 2.0)
+			api_name="/chat"
+    )
+        
+
+
+
+
+# Gradio Demo 
+with gr.Blocks(theme=gr.themes.Base()) as demo:
+
+    gr.ChatInterface(predict, title=title, description=description, css=css, examples=examples) 
+        
+demo.queue().launch(debug=True)