Upload app.py

app.py

@@ -1,157 +1,157 @@
-# encoding:utf-8
-from flask import Flask, request, Response, stream_with_context, jsonify
-import requests
-import json
-from flask_cors import CORS, cross_origin
-import time
-
-app = Flask(__name__)
-models = ["gpt-4o","gemini-pro","claude-sonnet-3.5","deepseek-v3","deepseek-r1","blackboxai-pro"]
-
-# OpenAI API的URL
-OPENAI_API_URL = "https://www.blackbox.ai/api/chat"
-
-@app.route('/hf/v1/chat/completions', methods=['POST'])
-@cross_origin(origin='*')  # 允许所有域的请求
-def openai_chat_stream():
-    # 获取客户端发送的数据
-    data = request.json
-    null = None
-    true = True
-    false = False
-    
-    model = data["model"]
-    
-    if model not in models:
-        return "不支持该模型", 500
-
-    messages = data["messages"]
-    prompt = None
-    for m in messages:
-        if m["role"] == "system":
-            prompt = m["content"]
-            break
-    
-    requestBody = {"messages":messages,"agentMode":{},"id":"NEX4Hei",
-                   "previewToken":null,"userId":null,"codeModelMode":true,
-                   "trendingAgentMode":{},"isMicMode":false,
-                   "userSystemPrompt":prompt,"maxTokens":10240,
-                   "playgroundTopP":null,"playgroundTemperature":null,
-                   "isChromeExt":false,"githubToken":"","clickedAnswer2":false,
-                   "clickedAnswer3":false,"clickedForceWebSearch":false,
-                   "visitFromDelta":false,"isMemoryEnabled":false,
-                   "mobileClient":false,
-                   "userSelectedModel":model,
-                   "validated":"00f37b34-a166-4efb-bce5-1312d87f2f94",
-                   "imageGenerationMode":false,"webSearchModePrompt":false,
-                   "deepSearchMode":false,"domains":null,"vscodeClient":false}
-    # requestBody = json.dumps(requestBody)
-
-    
-    # 构建请求头
-    headers = {
-        "Content-Type": "application/json",
-        "origin": "https://www.blackbox.ai",
-        "referer": "https://www.blackbox.ai",
-        "Accept": "*/*",
-        "Connection": "keep-alive",
-        # 'content-type': str(len(requestBody)),
-        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36 Edg/131.0.0.0"
-    }
-
-    try:
-        enable_stream = False
-        if "stream" in data:
-            enable_stream = data["stream"]
-            
-        
-        # 发送HTTP请求到OpenAI API
-        response = requests.post(
-            OPENAI_API_URL,
-            headers=headers,
-            json=requestBody,
-            stream=enable_stream  # 启用流式传输
-        )
-
-        # 检查响应状态码
-        if response.status_code != 200:
-            return jsonify(
-                {'error': f"OpenAI API error: {response.status_code}, {response.text}"}), response.status_code
-
-        if enable_stream:
-            # 使用stream_with_context来处理流式响应
-            def generate():
-                size = 0
-                for chunk in response.iter_lines():
-                    
-                    if chunk:
-                        text = chunk.decode("utf-8")
-                        body = {
-                            "id": "chatcmpl-5e9568c7-31d8-4a25-9eaf-ac5f872fb461",
-                            "object": "chat.completion.chunk",
-                            "created": time.time(),
-                            "model": data["model"],
-                            "choices": [
-                                {
-                                    "index": 0,
-                                    "delta": {
-                                        "content": text,
-                                        "role": "assistant"
-                                    },
-                                    "finish_reason": null
-                                }
-                            ],
-                            "usage": null
-                        }
-                        
-                    #     # 解析OpenAI的流式响应
-                        yield "data:" +  json.dumps(body,ensure_ascii=False) + "\n\n"
-                yield "[DONE]"
-            return Response(stream_with_context(generate()), content_type='text/event-stream')
-        else:
-            text = ""
-            for chunk in response.iter_lines():
-                    
-                if chunk:
-                    text += chunk.decode("utf-8") + "\n\n"
-                        
-return jsonify({
-                            "id": "chatcmpl-5e9568c7-31d8-4a25-9eaf-ac5f872fb461",
-                            "object": "chat.completion.chunk",
-                            "created": time.time(),
-                            "model": data["model"],
-                            "choices": [
-                                {
-                                    "index": 0,
-                                    "message": {
-                                        "content": text,
-                                        "role": "assistant"
-                                    },
-                                    "finish_reason": null
-                                }
-                            ],
-                            "usage": null
-                        })
-                    #     # 解析OpenAI的流式响应
-            
-
-        
-
-    except Exception as e:
-        return jsonify({'error': str(e)}), 500
-
-@app.route('/hf/v1/models', methods=['POST','GET'])
-@cross_origin(origin='*')  # 允许所有域的请求
-def get_models():
-    data = []
-    for model in models:
-        data.append({"id": model,
-            "object": "model"})
-        
-    return jsonify({
-        "data": data
-    })
-
-
-if __name__ == '__main__':
-    app.run() 
+# encoding:utf-8
+from flask import Flask, request, Response, stream_with_context, jsonify
+import requests
+import json
+from flask_cors import CORS, cross_origin
+import time
+
+app = Flask(__name__)
+models = ["gpt-4o","gemini-pro","claude-sonnet-3.5","deepseek-v3","deepseek-r1","blackboxai-pro"]
+
+# OpenAI API的URL
+OPENAI_API_URL = "https://www.blackbox.ai/api/chat"
+
+@app.route('/hf/v1/chat/completions', methods=['POST'])
+@cross_origin(origin='*')  # 允许所有域的请求
+def openai_chat_stream():
+    # 获取客户端发送的数据
+    data = request.json
+    null = None
+    true = True
+    false = False
+    
+    model = data["model"]
+    
+    if model not in models:
+        return "不支持该模型", 500
+
+    messages = data["messages"]
+    prompt = None
+    for m in messages:
+        if m["role"] == "system":
+            prompt = m["content"]
+            break
+    
+    requestBody = {"messages":messages,"agentMode":{},"id":"NEX4Hei",
+                   "previewToken":null,"userId":null,"codeModelMode":true,
+                   "trendingAgentMode":{},"isMicMode":false,
+                   "userSystemPrompt":prompt,"maxTokens":10240,
+                   "playgroundTopP":null,"playgroundTemperature":null,
+                   "isChromeExt":false,"githubToken":"","clickedAnswer2":false,
+                   "clickedAnswer3":false,"clickedForceWebSearch":false,
+                   "visitFromDelta":false,"isMemoryEnabled":false,
+                   "mobileClient":false,
+                   "userSelectedModel":model,
+                   "validated":"00f37b34-a166-4efb-bce5-1312d87f2f94",
+                   "imageGenerationMode":false,"webSearchModePrompt":false,
+                   "deepSearchMode":false,"domains":null,"vscodeClient":false}
+    # requestBody = json.dumps(requestBody)
+
+    
+    # 构建请求头
+    headers = {
+        "Content-Type": "application/json",
+        "origin": "https://www.blackbox.ai",
+        "referer": "https://www.blackbox.ai",
+        "Accept": "*/*",
+        "Connection": "keep-alive",
+        # 'content-type': str(len(requestBody)),
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36 Edg/131.0.0.0"
+    }
+
+    try:
+        enable_stream = False
+        if "stream" in data:
+            enable_stream = data["stream"]
+            
+        
+        # 发送HTTP请求到OpenAI API
+        response = requests.post(
+            OPENAI_API_URL,
+            headers=headers,
+            json=requestBody,
+            stream=enable_stream  # 启用流式传输
+        )
+
+        # 检查响应状态码
+        if response.status_code != 200:
+            return jsonify(
+                {'error': f"OpenAI API error: {response.status_code}, {response.text}"}), response.status_code
+
+        if enable_stream:
+            # 使用stream_with_context来处理流式响应
+            def generate():
+                size = 0
+                for chunk in response.iter_lines():
+                    
+                    if chunk:
+                        text = chunk.decode("utf-8")
+                        body = {
+                            "id": "chatcmpl-5e9568c7-31d8-4a25-9eaf-ac5f872fb461",
+                            "object": "chat.completion.chunk",
+                            "created": time.time(),
+                            "model": data["model"],
+                            "choices": [
+                                {
+                                    "index": 0,
+                                    "delta": {
+                                        "content": text,
+                                        "role": "assistant"
+                                    },
+                                    "finish_reason": null
+                                }
+                            ],
+                            "usage": null
+                        }
+                        
+                    #     # 解析OpenAI的流式响应
+                        yield "data:" +  json.dumps(body,ensure_ascii=False) + "\n\n"
+                yield "[DONE]"
+            return Response(stream_with_context(generate()), content_type='text/event-stream')
+        else:
+            text = ""
+            for chunk in response.iter_lines():
+                    
+                if chunk:
+                    text += chunk.decode("utf-8") + "\n\n"
+                        
+            return jsonify({
+                            "id": "chatcmpl-5e9568c7-31d8-4a25-9eaf-ac5f872fb461",
+                            "object": "chat.completion.chunk",
+                            "created": time.time(),
+                            "model": data["model"],
+                            "choices": [
+                                {
+                                    "index": 0,
+                                    "message": {
+                                        "content": text,
+                                        "role": "assistant"
+                                    },
+                                    "finish_reason": null
+                                }
+                            ],
+                            "usage": null
+                        })
+                    #     # 解析OpenAI的流式响应
+            
+
+        
+
+    except Exception as e:
+        return jsonify({'error': str(e)}), 500
+
+@app.route('/hf/v1/models', methods=['POST','GET'])
+@cross_origin(origin='*')  # 允许所有域的请求
+def get_models():
+    data = []
+    for model in models:
+        data.append({"id": model,
+            "object": "model"})
+        
+    return jsonify({
+        "data": data
+    })
+
+
+if __name__ == '__main__':
+    app.run()