Update app.py

app.py

@@ -1,21 +1,17 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-import minijinja
+from huggingfacehub import InferenceClient
 
-client = InferenceClient(
-    "bigscience/bloom",
-    tokenizer_config={"template": "chat", "chat_template": "당신은 말했다: {{ user_input }}\n어시스턴트:"},
-)
+client = InferenceClient("bigscience/bloom")
 
 def respond(
     message,
     history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
+    systemmessage,
+    maxtokens,
     temperature,
-    top_p,
+    topp,
 ):
-    messages = [{"role": "system", "content": system_message}]
+    messages = [{"role": "system", "content": systemmessage}]
 
     for val in history:
         if val[0]:
@@ -25,35 +21,35 @@ def respond(
 
     messages.append({"role": "user", "content": message})
 
-    response = client.chat_completion(
+    response = client.chatcompletion(
         messages,
-        max_tokens=max_tokens,
-        stream=True,
+        maxtokens=maxtokens,
+        stream=rue,
         temperature=temperature,
-        top_p=top_p,
+        topp=topp,
     )
 
-    final_response = ""
+    finalresponse = ""
     for message in response:
-        final_response += message.choices[0].delta.content
+        finalresponse += message.choices[0].delta.content
 
-    return final_response
+    return finalresponse
 
 demo = gr.ChatInterface(
     respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+    additionalinputs=[
+        gr.extbox(value="You are a friendly Chatbot.", 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=4.0, value=0.7, step=0.1, label="emperature"),
         gr.Slider(
             minimum=0.1,
             maximum=1.0,
             value=0.95,
             step=0.05,
-            label="Top-p (nucleus sampling)",
+            label="op-p (nucleus sampling)",
         ),
     ],
 )
 
-if __name__ == "__main__":
+if name == "main":
     demo.launch()