Update app.py

app.py

@@ -56,65 +56,4 @@ app = gr.TabbedInterface(
 ).launch()
 
 #if __name__ == "__main__":
-#    app.launch()
-
-"""
-# Inference
-
-import gradio as gr
-from huggingface_hub import InferenceClient
-
-model = "google/gemma-2-27b-it"
-#model = "google/gemma-2-9b-it"
-#model = "google/gemma-2-2b-it"
-client = InferenceClient(model)
-
-def fn(
-    message,
-    history: list[tuple[str, str]],
-    #system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    #messages = [{"role": "system", "content": system_message}]
-    messages = []
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            #messages.append({"role": "assistant", "content": val[1]})
-            messages.append({"role": "bot", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens = max_tokens,
-        temperature = temperature,
-        top_p = top_p,
-        stream = True,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-app = gr.ChatInterface(
-    fn = fn,
-    #type = "messages",
-    additional_inputs = [
-        #gr.Textbox(value="You are a helpful assistant.", label="System Message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max 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"),
-    ],
-    title = "Google Gemma",
-    description = model,
-)
-
-if __name__ == "__main__":
-    app.launch()
+#    app.launch()