openAI

app.py

@@ -1,6 +1,6 @@
 # app.py
-import gradio as gr
-import openai
+import gradio as gr # type: ignore
+import openai # type: ignore
 
 # openai.api_key = "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"
 client = openai.OpenAI()
@@ -14,7 +14,7 @@ def respond(message, history: list[tuple[str, str]], system_message, max_tokens,
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
     messages.append({"role": "user", "content": message})
-    print("Messages: ", messages)
+    print("Messages: \n", messages)
 
     #input
     response = client.responses.create(
@@ -26,7 +26,7 @@ def respond(message, history: list[tuple[str, str]], system_message, max_tokens,
     )
     response = response.output_text
     print("Response: ", response)
-    print(" ")
+    print("\n")
     yield response
 
 demo = gr.ChatInterface(

phoGPT.py

@@ -1,7 +1,6 @@
 # app.py
-import gradio as gr
-
-import torch
+import gradio as gr # type: ignore
+import torch # type: ignore
 from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer
 
 # 1️⃣ Cấu hình và load model + tokenizer