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Update app.py
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app.py
CHANGED
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@@ -6,6 +6,8 @@ Step Audio R1 vLLM Gradio Interface
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import base64
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import json
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import os
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import gradio as gr
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import httpx
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@@ -13,18 +15,44 @@ import httpx
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API_BASE_URL = os.getenv("API_BASE_URL", "http://localhost:9999/v1")
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MODEL_NAME = os.getenv("MODEL_NAME", "Step-Audio-R1")
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def
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"""
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if not audio_path or not os.path.exists(audio_path):
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return
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try:
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except Exception as e:
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print(f"[DEBUG] Audio error: {e}")
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return
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def format_messages(system, history, user_text,
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"""Format message list"""
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messages = []
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if system:
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@@ -43,37 +71,40 @@ def format_messages(system, history, user_text, audio_data=None, audio_format="w
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messages.append({"role": item.role, "content": item.content})
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# 添加当前用户消息
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if user_text and
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messages.append({
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"role": "user",
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"content":
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{
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"type": "input_audio",
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"input_audio": {
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"data": audio_data,
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"format": audio_format
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}
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},
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{
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"type": "text",
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"text": user_text
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}
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]
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})
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elif user_text:
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messages.append({"role": "user", "content": user_text})
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elif
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messages.append({
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"role": "user",
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"content":
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{
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"type": "input_audio",
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"input_audio": {
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"data": audio_data,
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"format": audio_format
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}
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}
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]
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})
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return messages
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@@ -99,14 +130,11 @@ def chat(system_prompt, user_text, audio_file, history, max_tokens, temperature,
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history = clean_history
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# Process audio
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audio_format = "wav"
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if audio_file:
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if audio_file.lower().endswith(".mp3"):
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audio_format = "mp3"
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messages = format_messages(system_prompt, history, user_text,
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if not messages:
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return history or [], "Invalid input"
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@@ -249,8 +277,6 @@ with gr.Blocks(title="Step Audio R1") as demo:
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submit_btn = gr.Button("Send", variant="primary", scale=2)
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clear_btn = gr.Button("Clear", scale=1)
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# 事件绑定 - 函数将在启动时定义
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# 直接绑定 chat 函数;不要传递外部的 `model_to_use`,chat 使用默认的 `MODEL_NAME` 或内部参数
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submit_btn.click(
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fn=chat,
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inputs=[system_prompt, user_text, audio_file, chatbot, max_tokens, temperature, top_p],
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import base64
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import json
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import os
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import io
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from pydub import AudioSegment
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import gradio as gr
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import httpx
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API_BASE_URL = os.getenv("API_BASE_URL", "http://localhost:9999/v1")
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MODEL_NAME = os.getenv("MODEL_NAME", "Step-Audio-R1")
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def process_audio(audio_path):
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"""
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Process audio: convert to wav, split if > 25s.
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Returns a list of base64 encoded wav strings.
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"""
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if not audio_path or not os.path.exists(audio_path):
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return []
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try:
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# Load audio (pydub handles mp3, wav, etc. automatically if ffmpeg is installed)
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audio = AudioSegment.from_file(audio_path)
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# Split into chunks of 25 seconds (25000 ms)
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chunk_length_ms = 25000
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chunks = []
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if len(audio) > chunk_length_ms:
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for i in range(0, len(audio), chunk_length_ms):
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chunk = audio[i:i + chunk_length_ms]
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chunks.append(chunk)
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else:
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chunks.append(audio)
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# Convert chunks to base64 wav
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audio_data_list = []
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for chunk in chunks:
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buffer = io.BytesIO()
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chunk.export(buffer, format="wav")
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encoded = base64.b64encode(buffer.getvalue()).decode()
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audio_data_list.append(encoded)
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return audio_data_list
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except Exception as e:
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print(f"[DEBUG] Audio processing error: {e}")
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return []
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def format_messages(system, history, user_text, audio_data_list=None):
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"""Format message list"""
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messages = []
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if system:
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messages.append({"role": item.role, "content": item.content})
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# 添加当前用户消息
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if user_text and audio_data_list:
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content = []
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for audio_data in audio_data_list:
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content.append({
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"type": "input_audio",
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"input_audio": {
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"data": audio_data,
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"format": "wav"
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}
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})
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content.append({
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"type": "text",
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"text": user_text
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})
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messages.append({
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"role": "user",
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"content": content
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})
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elif user_text:
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messages.append({"role": "user", "content": user_text})
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elif audio_data_list:
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content = []
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for audio_data in audio_data_list:
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content.append({
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"type": "input_audio",
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"input_audio": {
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"data": audio_data,
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"format": "wav"
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}
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})
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messages.append({
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"role": "user",
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"content": content
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})
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return messages
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history = clean_history
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# Process audio
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audio_data_list = []
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if audio_file:
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audio_data_list = process_audio(audio_file)
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messages = format_messages(system_prompt, history, user_text, audio_data_list)
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if not messages:
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return history or [], "Invalid input"
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submit_btn = gr.Button("Send", variant="primary", scale=2)
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clear_btn = gr.Button("Clear", scale=1)
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submit_btn.click(
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fn=chat,
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inputs=[system_prompt, user_text, audio_file, chatbot, max_tokens, temperature, top_p],
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