fix error

app.py

@@ -2,7 +2,6 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 import base64
 
-# 更新为 MiniCPM-Llama3-V-2_5 模型
 client = InferenceClient("openbmb/MiniCPM-Llama3-V-2_5")
 
 def encode_image(image_path):
@@ -12,22 +11,19 @@ def encode_image(image_path):
 def respond(
     message,
     image,
-    history: list[tuple[str, str]],
+    history,
     system_message,
     max_tokens,
     temperature,
     top_p,
 ):
     messages = [{"role": "system", "content": system_message}]
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+    for user_msg, bot_msg in history:
+        messages.append({"role": "user", "content": user_msg})
+        messages.append({"role": "assistant", "content": bot_msg})
     
-    # 处理图片输入
     if image:
-        base64_image = encode_image(image.name)
+        base64_image = encode_image(image)
         image_message = f"<image>{base64_image}</image>"
         message = image_message + "\n" + message
 
@@ -43,7 +39,7 @@ def respond(
     ):
         token = message.token.text
         response += token
-        yield response
+        yield response, history + [(message, response)]
 
 demo = gr.Interface(
     respond,
@@ -56,9 +52,13 @@ demo = gr.Interface(
         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)"),
     ],
-    outputs=gr.Textbox(label="Response"),
+    outputs=[
+        gr.Textbox(label="Response"),
+        gr.State()  # for updated history
+    ],
     title="MiniCPM-Llama3-V-2_5 Image and Text Chat",
-    description="Upload an image and ask questions about it, or just chat without an image."
+    description="Upload an image and ask questions about it, or just chat without an image.",
+    allow_flagging="never"
 )
 
 if __name__ == "__main__":