Update app.py

app.py

@@ -103,43 +103,34 @@ def respond(message, history: list[tuple[str, str]], model, system_message, max_
         response += token
         yield response
 
-while mode == "text-to-text":
-    demo = gr.ChatInterface(
+
+
+
+demo = gr.ChatInterface(
+
+    if mode=="text-to-text":
         respond,
-        stop_btn = "Stop generation",
-        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", "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"),
-            gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
-            
-        ]
-    )
-
-while mode == "image-to-text":
-    demo = gr.ChatInterface(
+        multimodal=False,
+    else:
         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", "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"),
-            gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
-            
-        ],
-
-        url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/0052a70beed5bf71b92610a43a52df6d286cd5f3/diffusers/rabbit.jpg",
-        image = Image.open(requests.get(url, stream=True).raw)
-    )
+        multimodal=True,
+    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", "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"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
+        
+    ],
+
+    url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/0052a70beed5bf71b92610a43a52df6d286cd5f3/diffusers/rabbit.jpg",
+    image = Image.open(requests.get(url, stream=True).raw)
+)
 
 
 if __name__ == "__main__":