Update app.py

app.py

@@ -32,7 +32,7 @@ def process_text(text_input, unit):
         return completion.choices[0].message.content
     return ""
 
-def encode_image_to_base64(image):
+def encode_image_to_base64(image_input):
     buffered = io.BytesIO()
     image.save(buffered, format="JPEG")
     img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
@@ -42,7 +42,7 @@ def process_image(image_input, unit):
     if image_input is not None:
         #with open(image_input.name, "rb") as f:
         #    base64_image = base64.b64encode(f.read()).decode("utf-8")
-        base64_image = encode_image_to_base64(image)
+        base64_image = encode_image_to_base64(image_input)
         response = client.chat.completions.create(
             model=MODEL,
             messages=[
@@ -80,13 +80,13 @@ with gr.Blocks() as iface:
     with gr.Row():
         output_box = gr.Markdown(label="分析")  # Create an output textbox
     with gr.Row():
-        image_btn = gr.Image(type="filepath", label="上传图片")  # Create an image upload button
+        image_input = gr.Image(type="filepath", label="上传图片")  # Create an image upload button
         text_input = gr.Textbox(label="输入")  # Create a text input box
     with gr.Row():
         submit_btn = gr.Button("🚀 确认")  # Create a submit button
         clear_btn = gr.ClearButton(output_box, value="🗑️ 清空") # Create a clear button
 
     # Set up the event listeners
-    submit_btn.click(main, inputs=[text_input, image_btn, unit], outputs=output_box)
+    submit_btn.click(main, inputs=[text_input, image_input, unit], outputs=output_box)
 
 iface.launch()  # Launch the Gradio interface