Update app.py

app.py

@@ -59,6 +59,9 @@ def choose_model(model_name):
     elif model_name == "Microsoft-phi-2":
         model = "microsoft/phi-2"
 
+    elif model_name == "Qwen2.5-Coder-32B-Instruct":
+        model = "Qwen/Qwen2.5-Coder-32B-Instruct"
+
     else:    # default to zephyr if no model chosen
         model = "HuggingFaceH4/zephyr-7b-beta"
     
@@ -98,7 +101,7 @@ demo = gr.ChatInterface(
     description="Hi there! I am your friendly AI chatbot. Choose from different language models under the Additional Inputs tab below.",
     examples=[["Explain quantum computing"], ["Explain forex trading"], ["What is the capital of China?"], ["Make a poem about nature"]],
     additional_inputs=[
-        gr.Dropdown(["DeepSeek-R1-Distill-Qwen-1.5B", "DeepSeek-R1-Distill-Qwen-32B", "Gemma-2-2b", "Gemma-7b", "Llama2-13b-chat", "Llama3-8b-Instruct", "Llama3.1-8b-Instruct", "Microsoft-phi-2", "Mixtral-8x7B-Instruct", "Zephyr-7b-beta"], label="Select Model"),
+        gr.Dropdown(["DeepSeek-R1-Distill-Qwen-1.5B", "DeepSeek-R1-Distill-Qwen-32B", "Gemma-2-2b", "Gemma-7b", "Llama2-13b-chat", "Llama3-8b-Instruct", "Llama3.1-8b-Instruct", "Microsoft-phi-2", "Mixtral-8x7B-Instruct", "Qwen2.5-Coder-32B-Instruct", "Zephyr-7b-beta"], label="Select Model"),
         gr.Textbox(value="You are a friendly and helpful Chatbot, be concise and straight to the point, avoid excessive reasoning.", 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"),