Update app.py

app.py

@@ -1,21 +1,24 @@
 import gradio as gr
-import transformers_gradio
 
-# Load the models
-demo = gr.load(name="deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", src=transformers_gradio.registry)
-demo = gr.load(name="deepseek-ai/DeepSeek-R1", src=transformers_gradio.registry)
-demo = gr.load(name="deepseek-ai/DeepSeek-R1-Zero", src=transformers_gradio.registry)
+# Placeholder for model loading (adjust as needed for your specific models)
+def load_model(model_name):
+    # Replace this function with actual model loading code if needed
+    return lambda input_text: f"Response from {model_name}: {input_text}"
 
-# Disable API names for all functions
-for fn in demo.fns.values():
-    fn.api_name = False
+# Load the models (placeholder functions here)
+deepseek_r1_distill = load_model("DeepSeek-R1-Distill-Qwen-32B")
+deepseek_r1 = load_model("DeepSeek-R1")
+deepseek_r1_zero = load_model("DeepSeek-R1-Zero")
+
+# Disable API names for all functions (Gradio doesn't natively use `fns`)
+# Adjust this section if specific API name disabling logic is required.
 
 # Define the optional parameters section
 def create_optional_parameters():
     with gr.Accordion("Optional Parameters (Click to Expand)", open=False):
         system_message = gr.Textbox(
             label="System Message", 
-            value="You are a friendly Chatbot created by balione.com",
+            value="You are a friendly Chatbot created by ruslanmv.com",
             lines=2
         )
         max_new_tokens = gr.Slider(minimum=1, maximum=4000, value=200, label="Max New Tokens")
@@ -59,4 +62,4 @@ with gr.Blocks() as demo:
 
 # Launch the demo
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()