Update app.py
Browse files
app.py
CHANGED
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@@ -9,26 +9,6 @@ app = Flask(__name__)
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def generate_random_ip():
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return f"{random.randint(1,255)}.{random.randint(0,255)}.{random.randint(0,255)}.{random.randint(0,255)}"
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def generate_user_agent():
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os_list = ['Windows NT 10.0', 'Windows NT 6.1', 'Mac OS X 10_15_7', 'Ubuntu', 'Linux x86_64']
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browser_list = ['Chrome', 'Firefox', 'Safari', 'Edge']
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chrome_version = f"{random.randint(70, 126)}.0.{random.randint(1000, 9999)}.{random.randint(100, 999)}"
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firefox_version = f"{random.randint(70, 100)}.0"
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safari_version = f"{random.randint(600, 615)}.{random.randint(1, 9)}.{random.randint(1, 9)}"
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edge_version = f"{random.randint(80, 100)}.0.{random.randint(1000, 9999)}.{random.randint(100, 999)}"
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os = random.choice(os_list)
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browser = random.choice(browser_list)
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if browser == 'Chrome':
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return f"Mozilla/5.0 ({os}) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/{chrome_version} Safari/537.36"
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elif browser == 'Firefox':
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return f"Mozilla/5.0 ({os}; rv:{firefox_version}) Gecko/20100101 Firefox/{firefox_version}"
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elif browser == 'Safari':
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return f"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/{safari_version} (KHTML, like Gecko) Version/{safari_version.split('.')[0]}.1.2 Safari/{safari_version}"
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elif browser == 'Edge':
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return f"Mozilla/5.0 ({os}) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/{edge_version} Safari/537.36 Edg/{edge_version}"
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def format_openai_response(content, finish_reason=None):
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return {
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"id": "chatcmpl-123",
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@@ -43,7 +23,6 @@ def format_openai_response(content, finish_reason=None):
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}
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@app.route('/hf/v1/chat/completions', methods=['POST'])
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def chat_completions():
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data = request.json
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messages = data.get('messages', [])
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@@ -52,15 +31,8 @@ def chat_completions():
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if not messages:
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return {"error": "No messages provided"}, 400
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# 将消息列表转换为单个字符串,保留对话历史
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conversation = "\n".join([f"{msg['role']}: {msg['content']}" for msg in messages])
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# 添加指导语
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conversation += "\n请关注并回复user最近的消息并避免总结对话历史的回答"
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model = data.get('model', 'gpt-4o')
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# 根据模型名称设置endpoint和URL
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if model.startswith('gpt'):
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endpoint = "openAI"
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original_api_url = 'https://chatpro.ai-pro.org/api/ask/openAI'
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@@ -69,43 +41,57 @@ def chat_completions():
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original_api_url = 'https://chatpro.ai-pro.org/api/ask/claude'
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else:
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return {"error": "Unsupported model"}, 400
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headers = {
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'content-type': 'application/json',
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'X-Forwarded-For': generate_random_ip(),
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'origin': 'https://chatpro.ai-pro.org',
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'user-agent': generate_user_agent()
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}
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payload = {
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"text": conversation,
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"endpoint": endpoint,
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"model": model
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}
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def generate():
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if event.data.startswith('{"text":'):
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data = json.loads(event.data)
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new_content = data['text'][len(last_content):]
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last_content = data['text']
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if new_content:
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yield f"data: {json.dumps(format_openai_response(new_content))}\n\n"
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if stream:
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return Response(stream_with_context(generate()), content_type='text/event-stream')
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else:
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full_response = ""
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for chunk in generate():
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if chunk.startswith("data: ") and not chunk.strip() == "data: [DONE]":
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response_data = json.loads(chunk[6:])
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@@ -113,6 +99,8 @@ def chat_completions():
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delta = response_data['choices'][0].get('delta', {})
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if 'content' in delta:
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full_response += delta['content']
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return {
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"id": "chatcmpl-123",
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@@ -125,7 +113,7 @@ def chat_completions():
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"role": "assistant",
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"content": full_response
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},
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"finish_reason":
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}],
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"usage": {
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"prompt_tokens": 0,
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def generate_random_ip():
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return f"{random.randint(1,255)}.{random.randint(0,255)}.{random.randint(0,255)}.{random.randint(0,255)}"
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def format_openai_response(content, finish_reason=None):
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return {
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"id": "chatcmpl-123",
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}
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@app.route('/hf/v1/chat/completions', methods=['POST'])
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def chat_completions():
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data = request.json
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messages = data.get('messages', [])
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if not messages:
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return {"error": "No messages provided"}, 400
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model = data.get('model', 'gpt-4o')
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if model.startswith('gpt'):
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endpoint = "openAI"
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original_api_url = 'https://chatpro.ai-pro.org/api/ask/openAI'
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original_api_url = 'https://chatpro.ai-pro.org/api/ask/claude'
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else:
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return {"error": "Unsupported model"}, 400
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headers = {
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'content-type': 'application/json',
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'X-Forwarded-For': generate_random_ip(),
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'origin': 'https://chatpro.ai-pro.org',
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'user-agent': generate_user_agent()
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}
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def generate():
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nonlocal messages
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full_response = ""
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while True:
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conversation = "\n".join([f"{msg['role']}: {msg['content']}" for msg in messages])
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conversation += "\n请关注并回复user最近的消息并避免总结对话历史的回答"
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payload = {
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"text": conversation,
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"endpoint": endpoint,
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"model": model
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}
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response = requests.post(original_api_url, headers=headers, json=payload, stream=True)
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client = sseclient.SSEClient(response)
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for event in client.events():
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if event.data.startswith('{"text":'):
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data = json.loads(event.data)
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new_content = data['text'][len(full_response):]
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full_response = data['text']
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if new_content:
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yield f"data: {json.dumps(format_openai_response(new_content))}\n\n"
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elif '"final":true' in event.data:
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final_data = json.loads(event.data)
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finish_reason = final_data.get('responseMessage', {}).get('finish_reason', 'stop')
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if finish_reason == 'length':
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# ��果因为长度被截断,添加已生成的回复到消息列表,并继续生成
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messages.append({"role": "assistant", "content": full_response})
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messages.append({"role": "user", "content": "请继续你的输出"})
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break
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else:
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yield f"data: {json.dumps(format_openai_response('', finish_reason))}\n\n"
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yield "data: [DONE]\n\n"
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return
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if stream:
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return Response(stream_with_context(generate()), content_type='text/event-stream')
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else:
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full_response = ""
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finish_reason = "stop"
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for chunk in generate():
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if chunk.startswith("data: ") and not chunk.strip() == "data: [DONE]":
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response_data = json.loads(chunk[6:])
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delta = response_data['choices'][0].get('delta', {})
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if 'content' in delta:
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full_response += delta['content']
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if 'finish_reason' in delta:
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finish_reason = delta['finish_reason']
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return {
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"id": "chatcmpl-123",
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"role": "assistant",
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"content": full_response
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},
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"finish_reason": finish_reason
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}],
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"usage": {
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"prompt_tokens": 0,
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