init

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: creativeml-openrail-m
+sdk: gradio
+app_file: app.py
+
+---

app.py

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+import os
+import json
+import gradio as gr
+import requests
+from dotenv import load_dotenv
+
+# 加载环境变量
+load_dotenv()
+API_KEY = os.getenv("DEEPSEEK_API_KEY")
+API_KEY = "sk-0d040569ee2b4932a807d56a5b12ac05"
+API_URL = "https://api.deepseek.com/v1/chat/completions"
+
+def build_messages(query: str, history: list):
+    """构造对话历史"""
+    messages = [{"role": "system", "content": "你是一个有帮助的助手"}]
+    for user_msg, bot_msg in history:
+        messages.extend([
+            {"role": "user", "content": user_msg},
+            {"role": "assistant", "content": bot_msg}
+        ])
+    messages.append({"role": "user", "content": query})
+    return messages
+
+def stream_response(query: str, history: list):
+    """流式响应生成器"""
+    headers = {
+        "Authorization": f"Bearer {API_KEY}",
+        "Content-Type": "application/json"
+    }
+
+    try:
+        response = requests.post(
+            API_URL,
+            headers=headers,
+            json={
+                "model": "deepseek-chat",
+                "messages": build_messages(query, history),
+                "temperature": 0.7,
+                "stream": True
+            },
+            stream=True,
+            timeout=60
+        )
+        
+        # 先检查响应状态再处理内容
+        if response.status_code != 200:
+            error_msg = f"API 返回错误状态码: {response.status_code} - {response.text}"
+            print(error_msg)
+            yield error_msg
+            return
+
+        partial_message = ""
+        for chunk in response.iter_lines():
+            # 过滤空行和 keep-alive 消息
+            if not chunk or b'[DONE]' in chunk:
+                continue
+
+            try:
+                # 调试输出原始数据
+                print("原始 chunk:", chunk)
+                
+                decoded = chunk.decode('utf-8').strip()
+                # 处理可能的多个 data: 前缀
+                if decoded.startswith('data:'):
+                    json_str = decoded[5:].strip()
+                else:
+                    json_str = decoded
+                
+                # 验证 JSON 有效性
+                if not json_str.startswith('{'):
+                    continue
+                
+                data = json.loads(json_str)
+                
+                if content := data['choices'][0]['delta'].get('content'):
+                    partial_message += content
+                    yield partial_message
+
+            except json.JSONDecodeError as e:
+                print(f"JSON 解析失败: {e} | 原始数据: {decoded}")
+                continue
+            except Exception as e:
+                print(f"处理 chunk 时发生错误: {str(e)}")
+                continue
+
+    except Exception as e:
+        yield f"⚠️ 请求失败：{str(e)}"
+
+def stream_response_back(query: str, history: list):
+    """流式响应生成器"""
+    headers = {
+        "Authorization": f"Bearer {API_KEY}",
+        "Content-Type": "application/json"
+    }
+
+    print(query)
+    print(history)
+
+    try:
+        response = requests.post(
+            API_URL,
+            headers=headers,
+            json={
+                "model": "deepseek-chat",
+                "messages": build_messages(query, history),
+                "temperature": 0.7,
+                "stream": True
+            },
+            stream=True,
+            timeout=60
+        )
+        response.raise_for_status()
+        
+        print(response)
+
+        partial_message = ""
+        for chunk in response.iter_lines():
+            if chunk:
+                # 处理流式数据格式
+                decoded = chunk.decode('utf-8').strip()
+                if decoded.startswith('data:'):
+                    data = json.loads(decoded[5:])
+                    if content := data['choices'][0]['delta'].get('content'):
+                        partial_message += content
+                        yield partial_message
+
+    except Exception as e:
+        yield f"⚠️ 请求失败：{str(e)}"
+
+# 创建带打字机效果的聊天界面
+demo = gr.ChatInterface(
+    fn=stream_response,
+    title="DeepSeek 智能助手",
+    description="输入消息开始对话（支持流式打字效果）",
+    theme="soft",
+    examples=["你好！", "如何学习AI？", "写一首关于春天的诗"],
+    cache_examples=False,
+    # retry_btn=None,
+    # undo_btn=None,
+    # clear_btn="清空历史",
+    stop_btn="停止生成",
+)
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860)

requirements.txt

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+uvicorn>=0.14.0