Update app.py

app.py

@@ -53,6 +53,7 @@ def choose_model(model_name):
     elif model_name == "Llama-3.2-11B-Vision-Instruct":
         model = "meta-llama/Llama-3.2-11B-Vision-Instruct"
         mode = "image-to-text"
+        return model
 
     elif model_name == "Gemma-2-2b":
         model = "google/gemma-2-2b-it"
@@ -71,7 +72,8 @@ def choose_model(model_name):
 
     else:    # default to zephyr if no model chosen
         model = "HuggingFaceH4/zephyr-7b-beta"
-    
+
+    mode = "text-to-text"
     return model
     
 
@@ -105,12 +107,11 @@ if mode == "text-to-text":
     demo = gr.ChatInterface(
         respond,
         stop_btn = "Stop generation",
-        multimodal = True,
         title="Ask me anything",
         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", "Qwen2.5-Coder-32B-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", "Llama-3.2-11B-Vision-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"),