GTimothee commited on
Commit ·
a54a14b
1
Parent(s): f2260e2
use my own gradio ui
Browse files- app.py +33 -20
- requirements.txt +4 -0
app.py
CHANGED
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import os
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from dotenv import load_dotenv
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from
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from smolagents import
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import gradio as gr
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from smolagents import GradioUI
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load_dotenv()
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model_id = "Qwen/Qwen2.5-Coder-32B-Instruct"
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def
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)
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add_base_tools = True
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tools_list = [
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return tools_list, add_base_tools
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if __name__ == "__main__":
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tools_list, add_base_tools = get_tools()
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model = HfApiModel(
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agent = CodeAgent(
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import io
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import os
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import soundfile as sf
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from dotenv import load_dotenv
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from huggingface_hub import InferenceClient
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from smolagents import CodeAgent, GradioUI, HfApiModel
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load_dotenv()
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def convert_data_to_audio_filelike(your_input_tuple):
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"""Convert (sample_rate, np.ndarray) to a BytesIO WAV file"""
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sample_rate, audio_data = your_input_tuple
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buffer = io.BytesIO()
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sf.write(buffer, audio_data, sample_rate, format="WAV")
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buffer.seek(0)
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return buffer
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def speech2text_func(data, model: str = "openai/whisper-small.en") -> str:
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if isinstance(data, tuple):
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buffer = convert_data_to_audio_filelike(data)
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data = buffer.read()
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client = InferenceClient(
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provider="hf-inference",
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api_key=os.getenv("HF_TOKEN"),
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return client.automatic_speech_recognition(data, model=model).text
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def get_tools():
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add_base_tools = True
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tools_list = []
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return tools_list, add_base_tools
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if __name__ == "__main__":
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tools_list, add_base_tools = get_tools()
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model = HfApiModel("Qwen/Qwen2.5-Coder-32B-Instruct", provider=None)
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agent = CodeAgent(
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tools=tools_list,
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model=model,
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add_base_tools=add_base_tools,
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additional_authorized_imports=["web_search"],
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)
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GradioUI(agent).launch(speech2text_func=speech2text_func)
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requirements.txt
ADDED
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git+https://github.com/GTimothee/smolagents.git@add_audio_input#egg=smolagents
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python-dotenv
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gradio
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soundfile
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