update app.py

app.py

@@ -1,64 +1,58 @@
 import gradio as gr
+import json
 from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+# Load danh sách nhân vật
+with open("characters.json", "r", encoding="utf-8") as f:
+    characters = json.load(f)["characters"]
 
+# Tạo dict tra cứu theo ID
+character_dict = {c["id"]: c for c in characters}
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+# Hugging Face Inference API
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+# Hàm phản hồi hội thoại
+def respond(message, history, character_id, max_tokens, temperature, top_p):
+    char = character_dict[character_id]
+    system_message = char["persona_prompt"]
 
+    messages = [{"role": "system", "content": system_message}]
+    for u, a in history:
+        if u: messages.append({"role": "user", "content": u})
+        if a: messages.append({"role": "assistant", "content": a})
     messages.append({"role": "user", "content": message})
 
     response = ""
-
-    for message in client.chat_completion(
+    for msg in client.chat_completion(
         messages,
         max_tokens=max_tokens,
-        stream=True,
         temperature=temperature,
         top_p=top_p,
+        stream=True,
     ):
-        token = message.choices[0].delta.content
-
+        token = msg.choices[0].delta.content or ""
         response += token
         yield response
 
+# Tạo danh sách lựa chọn nhân vật
+def format_label(c):
+    return f"{c['name']} ({c['personality']}, {c['appearance']}, {c['voice']})"
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+char_choices = [(format_label(c), c["id"]) for c in characters]
+
+# Giao diện Gradio
 demo = gr.ChatInterface(
-    respond,
+    fn=respond,
     additional_inputs=[
-        gr.Textbox(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=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+        gr.Dropdown(choices=char_choices, value=characters[0]["id"], label="Chọn nhân vật"),
+        gr.Slider(1, 2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(0.1, 2.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p"),
     ],
+    title="🧠 Trợ lý ảo hoạt hình",
+    description="Chọn nhân vật hoạt hình lý tưởng để trò chuyện!",
 )
 
-
 if __name__ == "__main__":
     demo.launch()