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Running
Zenith Wang
commited on
Commit
·
284099f
1
Parent(s):
64b282a
Revert to stable Gradio 4.19.2 and redesign interface without MultimodalTextbox
Browse files- README.md +1 -1
- app.py +92 -66
- requirements.txt +1 -1
README.md
CHANGED
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@@ -4,7 +4,7 @@ emoji: 🤖
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colorFrom: purple
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colorTo: blue
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sdk: gradio
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sdk_version: 4.
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app_file: app.py
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pinned: false
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license: mit
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colorFrom: purple
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colorTo: blue
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sdk: gradio
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sdk_version: 4.19.2
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app_file: app.py
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pinned: false
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license: mit
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app.py
CHANGED
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@@ -22,6 +22,10 @@ def image_to_base64(image):
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image.save(buffered, format="PNG")
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img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
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return img_str
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return None
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@@ -40,59 +44,36 @@ def extract_cot_and_answer(text):
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# 如果没有reasoning标签,整个响应就是答案
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return "", text
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def
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"""
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# 创建包含图片和文本的消息
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return f'<img src="{image_path}" style="max-width: 200px; max-height: 200px; border-radius: 8px; margin-bottom: 10px;"><br>{message_text}'
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return message_text
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def call_step_api_stream(message, history):
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"""调用Step API进行流式对话,支持多模态输入"""
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print(f"[DEBUG] Starting API call - Message type: {type(message)}")
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if not message:
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print("[DEBUG] No message provided")
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yield history, "", ""
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return
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if not STEP_API_KEY:
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print("[DEBUG] API key not configured")
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error_msg = "❌ API key not configured. Please add STEP_API_KEY in Settings."
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history.append([message
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yield history, "", ""
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return
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print(f"[DEBUG] API Key exists: {bool(STEP_API_KEY)}")
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#
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image_content = None
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display_message = ""
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# 处理图片文件
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if files and len(files) > 0:
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image_path = files[0] # 取第一张图片
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try:
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img = Image.open(image_path)
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image_content = image_to_base64(img)
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# 创建显示消息,包含图片缩略图
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display_message = format_message_with_image(text_content, image_path)
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print(f"[DEBUG] Image processed successfully")
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display_message = text_content
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else:
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display_message = text_content
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else:
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# 纯文本消息
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text_content = str(message)
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display_message = text_content
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# 添加用户消息到历史
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history.append([display_message, ""])
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# 构造API消息
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messages = []
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#
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for h in history[:-1]: # 不包含当前消息
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if h[0]: # 用户消息
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#
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user_text =
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# 构造当前消息
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if image_content:
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current_content = [
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{"type": "image_url", "image_url": {"url": f"data:image/jpg;base64,{image_content}", "detail": "high"}}
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]
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if
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current_content.append({"type": "text", "text":
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messages.append({"role": "user", "content": current_content})
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else:
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# 纯文本
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print(f"[DEBUG] Messages count: {len(messages)}")
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@@ -174,7 +164,8 @@ def call_step_api_stream(message, history):
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# 没有CoT,直接显示答案
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history[-1][1] = current_answer
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-
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yield history, current_cot, current_answer
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if not full_response:
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@@ -183,6 +174,8 @@ def call_step_api_stream(message, history):
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yield history, "", ""
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else:
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print(f"[DEBUG] Final response length: {len(full_response)} chars")
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except Exception as e:
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print(f"[DEBUG] API request failed: {e}")
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history[-1][1] = f"❌ API request failed: {str(e)}"
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yield history, "", ""
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def
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"""Clear
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return [], None
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# 创建Gradio界面
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with gr.Blocks(title="Step-3", theme=gr.themes.Soft()) as demo:
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with gr.Column(scale=2):
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# 对话界面
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chatbot = gr.Chatbot(
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height=
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show_label=False,
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elem_id="chatbot",
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bubble_full_width=False
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render_markdown=True
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)
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with gr.Row():
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with gr.Column(scale=1):
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# CoT推理过程展示
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)
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# 事件处理
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msg.submit(
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call_step_api_stream,
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[msg, chatbot],
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[chatbot, cot_display, answer_display]
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)
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clear_btn.click(
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None,
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[chatbot, msg]
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)
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# 页脚
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image.save(buffered, format="PNG")
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img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
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return img_str
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elif isinstance(image, str) and os.path.exists(image):
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# 如果是文件路径
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with open(image, "rb") as image_file:
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return base64.b64encode(image_file.read()).decode('utf-8')
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return None
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# 如果没有reasoning标签,整个响应就是答案
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return "", text
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def call_step_api_stream(message, history, image=None):
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"""调用Step API进行流式对话"""
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print(f"[DEBUG] Starting API call - Message: {message}, Has Image: {image is not None}")
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if not message and not image:
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print("[DEBUG] No message or image provided")
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yield history, "", ""
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return
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if not STEP_API_KEY:
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print("[DEBUG] API key not configured")
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error_msg = "❌ API key not configured. Please add STEP_API_KEY in Settings."
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history.append([message or "[Image]", error_msg])
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yield history, "", ""
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return
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print(f"[DEBUG] API Key exists: {bool(STEP_API_KEY)}")
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# 处理消息和图片
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display_message = message or ""
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image_content = None
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if image:
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try:
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image_content = image_to_base64(image)
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if image_content:
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display_message = f"[Image uploaded] {message}" if message else "[Image uploaded]"
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print(f"[DEBUG] Image processed successfully")
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except Exception as e:
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print(f"[DEBUG] Failed to process image: {e}")
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# 添加用户消息到历史
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history.append([display_message, ""])
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# 构造API消息
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messages = []
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# 添加历史对话(只保留文本,不包含标记)
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for h in history[:-1]: # 不包含当前消息
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if h[0]: # 用户消息
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# 移除[Image uploaded]标记
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user_text = h[0].replace("[Image uploaded] ", "").replace("[Image uploaded]", "")
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if user_text:
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messages.append({"role": "user", "content": user_text})
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if h[1] and not h[1].startswith("❌"): # 助手回复(排除错误消息)
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# 提取纯文本内容
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assistant_text = h[1]
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# 如果包含格式化的CoT和Answer,提取完整内容
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if "**Reasoning Process:**" in assistant_text:
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# 移除格式化标记,保留原始内容
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assistant_text = re.sub(r'\*\*.*?\*\*', '', assistant_text)
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assistant_text = assistant_text.replace("💭", "").replace("📝", "").replace("---", "").strip()
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messages.append({"role": "assistant", "content": assistant_text})
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# 构造当前消息
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if image_content:
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current_content = [
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{"type": "image_url", "image_url": {"url": f"data:image/jpg;base64,{image_content}", "detail": "high"}}
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]
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if message:
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current_content.append({"type": "text", "text": message})
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messages.append({"role": "user", "content": current_content})
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else:
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# 纯文本
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if message:
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messages.append({"role": "user", "content": message})
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print(f"[DEBUG] Messages count: {len(messages)}")
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# 没有CoT,直接显示答案
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history[-1][1] = current_answer
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if chunk_count % 5 == 0: # 每5个chunk更新一次,减少更新频率
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print(f"[DEBUG] Processed {chunk_count} chunks")
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yield history, current_cot, current_answer
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if not full_response:
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yield history, "", ""
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else:
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print(f"[DEBUG] Final response length: {len(full_response)} chars")
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# 最终更新
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yield history, current_cot, current_answer
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except Exception as e:
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print(f"[DEBUG] API request failed: {e}")
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history[-1][1] = f"❌ API request failed: {str(e)}"
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yield history, "", ""
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def clear_all():
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"""Clear all components"""
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return [], None, "", "", ""
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# 创建Gradio界面
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with gr.Blocks(title="Step-3", theme=gr.themes.Soft()) as demo:
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with gr.Column(scale=2):
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# 对话界面
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chatbot = gr.Chatbot(
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height=500,
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show_label=False,
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elem_id="chatbot",
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bubble_full_width=False
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)
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with gr.Row():
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with gr.Column(scale=6):
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# 文本输入框
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msg = gr.Textbox(
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placeholder="Type your message here...",
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show_label=False,
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lines=2,
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max_lines=4,
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container=False,
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elem_id="msg"
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)
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with gr.Column(scale=2):
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# 图片上传
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image_input = gr.Image(
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label="Upload Image",
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type="filepath",
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height=80,
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scale=1
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)
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with gr.Column(scale=1):
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send_btn = gr.Button("Send", variant="primary", scale=1)
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clear_btn = gr.Button("Clear", scale=1)
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with gr.Column(scale=1):
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# CoT推理过程展示
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)
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# 事件处理
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def on_submit(message, history, image):
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if message or image:
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return "", history, None
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return message, history, image
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# 提交消息
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msg.submit(
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on_submit,
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[msg, chatbot, image_input],
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[msg, chatbot, image_input],
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queue=False
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).then(
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call_step_api_stream,
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[msg, chatbot, image_input],
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[chatbot, cot_display, answer_display]
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)
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send_btn.click(
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on_submit,
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[msg, chatbot, image_input],
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[msg, chatbot, image_input],
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queue=False
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).then(
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call_step_api_stream,
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[msg, chatbot, image_input],
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[chatbot, cot_display, answer_display]
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)
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clear_btn.click(
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clear_all,
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None,
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[chatbot, image_input, msg, cot_display, answer_display]
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)
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# 页脚
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requirements.txt
CHANGED
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@@ -1,3 +1,3 @@
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-
gradio==4.
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openai==1.12.0
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Pillow==10.2.0
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gradio==4.19.2
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openai==1.12.0
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Pillow==10.2.0
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