Revert "Change Step-3 to Step3 throughout the application"

This reverts commit ed348ef33c276c67aec185519cf3c04861eae0d1.

app.py

@@ -71,7 +71,7 @@ def bot_response(history, saved_message, saved_images, system_prompt, temperatur
         yield history
 
 def process_message(message, history, images, system_prompt, temperature, max_tokens, top_p):
-    """处理消息并调用Step3 API"""
+    """处理消息并调用Step-3 API"""
     
     print(f"[DEBUG] Processing message: {message[:100] if message else 'None'}")
     print(f"[DEBUG] Has images: {images is not None}")
@@ -115,11 +115,11 @@ def process_message(message, history, images, system_prompt, temperature, max_to
                     base64_image = image_to_base64(image_path)
                     if base64_image:
                         content.append({
-                    "type": "image_url",
-                    "image_url": {
+                            "type": "image_url",
+                            "image_url": {
                                 "url": f"data:image/jpeg;base64,{base64_image}",
-                        "detail": "high"
-                    }
+                                "detail": "high"
+                            }
                         })
                         print(f"[DEBUG] Successfully added image to content")
                     else:
@@ -128,7 +128,7 @@ def process_message(message, history, images, system_prompt, temperature, max_to
         # 添加文本消息
         if message:
             content.append({
-                    "type": "text",
+                "type": "text",
                 "text": message
             })
             print(f"[DEBUG] Added text to content: {message[:100]}")
@@ -191,39 +191,39 @@ def process_message(message, history, images, system_prompt, temperature, max_to
         print(f"[DEBUG] Making API call to {BASE_URL}")
         
         # 调用API
-            response = client.chat.completions.create(
+        response = client.chat.completions.create(
             model="step-3",
-                messages=messages,
-                temperature=temperature,
-                max_tokens=max_tokens,
+            messages=messages,
+            temperature=temperature,
+            max_tokens=max_tokens,
             top_p=top_p,
-                stream=True
-            )
-            
+            stream=True
+        )
+        
         print("[DEBUG] API call successful, processing stream...")
         
         # 流式输出
-            full_response = ""
+        full_response = ""
         chunk_count = 0
         in_reasoning = False
         reasoning_content = ""
         final_content = ""
         has_reasoning_field = False  # 标记是否通过 delta.reasoning 字段获取 CoT
         
-            for chunk in response:
+        for chunk in response:
             chunk_count += 1
             if chunk.choices and len(chunk.choices) > 0:
-                    delta = chunk.choices[0].delta
-                    
-                # 检查 delta.reasoning 字段（Step3 API 的 CoT 内容）
+                delta = chunk.choices[0].delta
+                
+                # 检查 delta.reasoning 字段（Step-3 API 的 CoT 内容）
                 if hasattr(delta, 'reasoning') and delta.reasoning:
                     has_reasoning_field = True
                     reasoning_content += delta.reasoning
                     print(f"[DEBUG] CoT chunk: {delta.reasoning[:50] if len(delta.reasoning) > 50 else delta.reasoning}")
                 
                 # 处理常规 content 字段
-                    if hasattr(delta, 'content') and delta.content:
-                        content = delta.content
+                if hasattr(delta, 'content') and delta.content:
+                    content = delta.content
                     
                     # 如果通过 reasoning 字段获取了 CoT，content 就是最终答案
                     if has_reasoning_field:
@@ -298,7 +298,7 @@ def process_message(message, history, images, system_prompt, temperature, max_to
             print("[DEBUG] No response content received")
             history[-1][1] = "⚠️ No response received from API"
             yield history
-                
+            
     except Exception as e:
         print(f"[DEBUG] API error: {e}")
         import traceback
@@ -410,11 +410,11 @@ css = """
 }
 """
 
-with gr.Blocks(title="Step3", theme=gr.themes.Soft(), css=css) as demo:
+with gr.Blocks(title="Step-3", theme=gr.themes.Soft(), css=css) as demo:
     gr.Markdown("""
-    # <img src="https://huggingface.co/stepfun-ai/step3/resolve/main/figures/stepfun-logo.png" alt="StepFun Logo" style="height: 30px; vertical-align: middle; margin-right: 8px;"> Step3
+    # <img src="https://huggingface.co/stepfun-ai/step3/resolve/main/figures/stepfun-logo.png" alt="StepFun Logo" style="height: 30px; vertical-align: middle; margin-right: 8px;"> Step-3
     
-    Welcome to Step3, an advanced multimodal AI assistant by <a href="https://stepfun.com/" target="_blank" style="color: #0969da;">StepFun</a>.
+    Welcome to Step-3, an advanced multimodal AI assistant by <a href="https://stepfun.com/" target="_blank" style="color: #0969da;">StepFun</a>.
     """)
     
     # 创建状态变量来保存消息和图片
@@ -467,7 +467,7 @@ with gr.Blocks(title="Step3", theme=gr.themes.Soft(), css=css) as demo:
             with gr.Accordion("⚙️ Settings", open=False):
                 system_prompt = gr.Textbox(
                     label="System Prompt",
-                    value="You are Step3, an advanced multimodal AI assistant developed by StepFun. You have strong capabilities in image understanding, reasoning, and providing detailed, helpful responses. You can analyze images, answer questions, and assist with various tasks while showing your reasoning process.",
+                    value="You are Step-3, an advanced multimodal AI assistant developed by StepFun. You have strong capabilities in image understanding, reasoning, and providing detailed, helpful responses. You can analyze images, answer questions, and assist with various tasks while showing your reasoning process.",
                     lines=4
                 )
                 temperature_slider = gr.Slider(