Spaces:
Sleeping
Sleeping
track user ip as user_id
Browse files
app.py
CHANGED
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@@ -3,8 +3,23 @@ from huggingface_hub import InferenceClient
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def
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"""处理语音和图片的示例函数"""
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if audio is not None:
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sample_rate, audio_data = audio
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audio_info = f"音频采样率: {sample_rate}Hz, 数据长度: {len(audio_data)}"
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@@ -26,19 +41,25 @@ def respond(
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temperature,
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top_p,
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audio,
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image
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):
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# 如果有上传的音频或图片,添加到消息中
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if audio is not None:
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# 这里可以添加音频处理逻辑
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audio_sample_rate, audio_data = audio
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message += f"\n[附加音频信息: 采样率 {audio_sample_rate}Hz, 时长 {len(audio_data)/audio_sample_rate:.2f}秒]"
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if image is not None:
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# 这里可以添加图片处理逻辑
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message += f"\n[附加图片信息: 尺寸 {image.shape}]"
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for val in history:
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if val[0]:
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@@ -92,7 +113,7 @@ with gr.Blocks() as app:
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def user(user_message, chat_history):
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return "", chat_history + [[user_message, None]]
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def bot(chat_history, system_message, max_tokens, temperature, top_p, audio, image):
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# 获取最后一条用户消息
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user_message = chat_history[-1][0]
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@@ -106,19 +127,20 @@ with gr.Blocks() as app:
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temperature,
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top_p,
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audio,
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image
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):
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bot_response = response
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chat_history[-1][1] = bot_response
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yield chat_history
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# 连接事件
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msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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bot, [chatbot, system_msg, max_tokens, temperature, top_p, audio_input, image_input], chatbot
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)
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submit_btn.click(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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bot, [chatbot, system_msg, max_tokens, temperature, top_p, audio_input, image_input], chatbot
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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@@ -131,11 +153,12 @@ with gr.Blocks() as app:
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audio_output = gr.Textbox(label="音频信息")
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image_output = gr.Textbox(label="图片信息")
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process_btn.click(
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process,
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inputs=[audio_processor, image_processor],
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outputs=[audio_output, image_output]
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)
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if __name__ == "__main__":
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app.launch()
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def get_client_ip(request: gr.Request):
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"""获取客户端真实IP地址"""
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if request:
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# 从请求头中获取真实IP(考虑代理情况)
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x_forwarded_for = request.headers.get("x-forwarded-for", "")
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if x_forwarded_for:
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client_ip = x_forwarded_for.split(",")[0]
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else:
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client_ip = request.client.host
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return client_ip
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return "unknown"
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def process(audio, image, request: gr.Request):
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"""处理语音和图片的示例函数"""
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client_ip = get_client_ip(request)
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print(f"Processing request from IP: {client_ip}")
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if audio is not None:
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sample_rate, audio_data = audio
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audio_info = f"音频采样率: {sample_rate}Hz, 数据长度: {len(audio_data)}"
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temperature,
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top_p,
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audio,
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image,
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request: gr.Request # 添加请求对象
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):
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# 获取客户端IP
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client_ip = get_client_ip(request)
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print(f"Chat request from IP: {client_ip}")
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# 如果有上传的音频或图片,添加到消息中
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if audio is not None:
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audio_sample_rate, audio_data = audio
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message += f"\n[附加音频信息: 采样率 {audio_sample_rate}Hz, 时长 {len(audio_data)/audio_sample_rate:.2f}秒]"
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if image is not None:
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message += f"\n[附加图片信息: 尺寸 {image.shape}]"
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# 可选:将IP信息添加到系统消息中
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annotated_system_message = f"{system_message}\n[用户IP: {client_ip}]"
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messages = [{"role": "system", "content": annotated_system_message}]
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for val in history:
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if val[0]:
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def user(user_message, chat_history):
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return "", chat_history + [[user_message, None]]
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def bot(chat_history, system_message, max_tokens, temperature, top_p, audio, image, request: gr.Request):
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# 获取最后一条用户消息
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user_message = chat_history[-1][0]
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temperature,
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top_p,
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audio,
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image,
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request # 传递请求对象
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):
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bot_response = response
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chat_history[-1][1] = bot_response
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yield chat_history
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# 连接事件 - 添加request参数
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msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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bot, [chatbot, system_msg, max_tokens, temperature, top_p, audio_input, image_input, gr.Request()], chatbot
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)
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submit_btn.click(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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bot, [chatbot, system_msg, max_tokens, temperature, top_p, audio_input, image_input, gr.Request()], chatbot
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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audio_output = gr.Textbox(label="音频信息")
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image_output = gr.Textbox(label="图片信息")
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# 添加request参数到处理函数
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process_btn.click(
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process,
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inputs=[audio_processor, image_processor, gr.Request()],
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outputs=[audio_output, image_output]
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)
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if __name__ == "__main__":
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app.launch()
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