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Create app.py
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app.py
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import gradio as gr
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import modelscope_studio as mgr
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from http import HTTPStatus
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import os
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from dashscope import MultiModalConversation
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import dashscope
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YOUR_API_TOKEN = os.getenv('YOUR_API_TOKEN')
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dashscope.api_key = YOUR_API_TOKEN
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def add_text(chatbot, task_history, input):
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"""Add text to the chat history."""
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task_history.append({"role": "user", "content": [{"text": input.text}]})
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task_history.append({"role": "user", "content": [{"audio": input.files[0].path}]})
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chatbot.append([{
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"text": input.text,
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"files": input.files,
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}, None])
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return chatbot, task_history, None
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# def add_mic(chatbot, task_history, mic):
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# """Add audio to the chat history."""
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# task_history.append({"role": "user", "content": [{"audio": mic}]})
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# chatbot.append((f"[Audio input: {mic}]", None))
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# return chatbot, task_history
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def add_file(chatbot, task_history, audio_file):
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"""Add audio file to the chat history."""
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task_history.append({"role": "user", "content": [{"audio": audio_file.name}]})
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chatbot.append((f"[Audio file: {audio_file.name}]", None))
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return chatbot, task_history
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def reset_user_input():
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"""Reset the user input field."""
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return gr.Textbox.update(value='')
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def reset_state(task_history):
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"""Reset the chat history."""
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return [], []
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def regenerate(chatbot, task_history):
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"""Regenerate the last bot response."""
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if task_history and task_history[-1]['role'] == 'assistant':
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task_history.pop()
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chatbot.pop()
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if task_history:
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chatbot, task_history = predict(chatbot, task_history)
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return chatbot, task_history
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def predict(chatbot, task_history):
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"""Generate a response from the model."""
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response = MultiModalConversation.call(model='qwen2-audio-instruct',
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messages=task_history)
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if response.status_code == HTTPStatus.OK:
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output_text = response.output.choices[0].message.content
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if isinstance(output_text, list):
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output_text = next((item.get('text') for item in output_text if 'text' in item), '')
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elif isinstance(output_text, dict):
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output_text = output_text.get('text', '')
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task_history.append({'role': response.output.choices[0].message.role,
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'content': [{'text': output_text}]})
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chatbot.append((None, output_text)) # Add the response to chatbot
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return chatbot, task_history
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else:
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error_message = f"Failed to get a response: {response.code} - {response.message}"
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chatbot.append((None, error_message)) # Add the error message to chatbot
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return chatbot, task_history
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with gr.Blocks() as demo:
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gr.Markdown("""<p align="center"><img src="https://modelscope.oss-cn-beijing.aliyuncs.com/resource/qwen.png" style="height: 80px"/><p>""") ## todo
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gr.Markdown("""<center><font size=8>Qwen2-Audio-Instruct Bot</center>""")
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gr.Markdown(
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"""\
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<center><font size=3>This WebUI is based on Qwen2-Audio-Instruct, developed by Alibaba Cloud. \
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(本WebUI基于Qwen2-Audio-Instruct打造,实现聊天机器人功能。)</center>""")
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gr.Markdown("""\
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<center><font size=4>Qwen2-Audio <a href="https://modelscope.cn/models/qwen/Qwen2-Audio-7B">🤖 </a>
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| <a href="https://huggingface.co/Qwen/Qwen2-Audio-7B">🤗</a>  |
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Qwen2-Audio-Instruct <a href="https://modelscope.cn/models/qwen/Qwen2-Audio-7B-Instruct">🤖 </a> |
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<a href="https://huggingface.co/Qwen/Qwen2-Audio-7B-Instruct">🤗</a>  |
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 <a href="https://github.com/QwenLM/Qwen2-Audio">Github</a></center>""")
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chatbot = mgr.Chatbot(label='Qwen2-Audio-7B-Instruct', elem_classes="control-height", height=750)
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# query = gr.Textbox(lines=2, label='Input')
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# mic = gr.Audio(source="microphone", type="filepath")
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user_input = mgr.MultimodalInput(
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interactive=True,
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sources=['microphone'],
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submit_button_props=dict(value="🚀 Submit (发送)")
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)
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task_history = gr.State([])
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with gr.Row():
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empty_bin = gr.Button("🧹 Clear History (清除历史)")
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# submit_btn = gr.Button("🚀 Submit (发送)")
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regen_btn = gr.Button("🤔️ Regenerate (重试)")
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addfile_btn = gr.UploadButton("📁 Upload (上传文件)", file_types=["audio"])
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# mic.change(add_mic, [chatbot, task_history, mic], [chatbot, task_history])
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# submit_btn.click(add_text, [chatbot, task_history, query], [chatbot, task_history]).then(
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# predict, [chatbot, task_history], [chatbot, task_history], show_progress=True
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# )
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# submit_btn.click(reset_user_input, [], [query])
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user_input.submit(fn=add_text,
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inputs=[chatbot, task_history, user_input],
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outputs=[chatbot, task_history, user_input]).then(
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predict, [chatbot, task_history], [chatbot, task_history], show_progress=True
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)
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empty_bin.click(reset_state, outputs=[chatbot, task_history], show_progress=True)
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regen_btn.click(regenerate, [chatbot, task_history], [chatbot, task_history], show_progress=True)
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addfile_btn.upload(add_file, [chatbot, task_history, addfile_btn], [chatbot, task_history], show_progress=True)
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demo.queue().launch(
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share=False,
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inbrowser=True,
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server_port=7860,
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server_name="0.0.0.0",
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)
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