Spaces:
Runtime error
Runtime error
fixes
Browse files
app.py
CHANGED
@@ -4,56 +4,44 @@ import requests
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import pytz
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import yaml
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import time
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from tools.final_answer import FinalAnswerTool
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from huggingface_hub import InferenceClient
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from pydub.generators import WhiteNoise
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from pydub import AudioSegment
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from Gradio_UI import GradioUI
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import os
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from huggingface_hub import login
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hf_token = os.getenv("HF_TOKEN") # Fetch secret from Hugging Face Space
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if hf_token:
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login(hf_token)
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else:
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print("⚠️ Hugging Face API token is missing! Set HF_TOKEN in Space secrets.")
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# Sound generation tool
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@tool
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def generate_sound(sound_type: str, duration: int) -> str:
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"""Generates a simple sound
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Args:
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sound_type: Type of sound to generate (e.g., 'rain', 'white_noise').
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duration: Duration of the sound in seconds.
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Returns:
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Download link
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"""
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try:
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duration_ms = duration * 1000
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if sound_type == "rain":
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sound = WhiteNoise().to_audio_segment(duration=duration_ms).low_pass_filter(5000)
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else:
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return f"Unsupported sound type: {sound_type}"
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output_path = f"rain_{duration}s.wav"
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sound.export(output_path, format="wav")
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return Files(output_path) # This makes the file downloadable in Gradio
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except Exception as e:
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return f"Error generating sound: {str(e)}"
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# Time zone tool
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""
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Args:
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timezone: A string representing a valid timezone (e.g., 'America/New_York').
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"""
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try:
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tz = pytz.timezone(timezone)
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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@@ -61,36 +49,39 @@ def get_current_time_in_timezone(timezone: str) -> str:
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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custom_role_conversions=None,
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token=
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)
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[final_answer, generate_sound], #
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=None,
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description=None,
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prompt_templates=prompt_templates
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output_modality="file"
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)
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# Start the UI with processing time display
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def launch_with_processing_time():
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def wrapped_launch():
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start_time = time.time()
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import pytz
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import yaml
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import time
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import os
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from tools.final_answer import FinalAnswerTool
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from huggingface_hub import InferenceClient, login
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from pydub.generators import WhiteNoise
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from pydub import AudioSegment
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import gradio as gr
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from Gradio_UI import GradioUI
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# Load Hugging Face token
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hf_token = os.getenv("HF_TOKEN") # Fetch secret from Hugging Face Space
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if hf_token:
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login(hf_token)
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else:
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print("⚠️ Hugging Face API token is missing! Set HF_TOKEN in Space secrets.")
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# ✅ Sound generation tool
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@tool
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def generate_sound(sound_type: str, duration: int) -> str:
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"""Generates a simple sound file and returns its path for download."""
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try:
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duration_ms = duration * 1000
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output_path = f"/home/user/app/{sound_type}_{duration}s.wav"
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if sound_type == "rain":
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sound = WhiteNoise().to_audio_segment(duration=duration_ms).low_pass_filter(5000)
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else:
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return f"Unsupported sound type: {sound_type}"
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sound.export(output_path, format="wav")
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return output_path # ✅ Returns a file path for Gradio to display/download
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except Exception as e:
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return f"Error generating sound: {str(e)}"
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# ✅ Time zone tool
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""Fetches the current local time in a specified timezone."""
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try:
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tz = pytz.timezone(timezone)
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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# ✅ Load the final answer tool
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final_answer = FinalAnswerTool()
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# ✅ Model configuration
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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custom_role_conversions=None,
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token=hf_token
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)
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# ✅ Load external tools
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# ✅ Load prompt templates
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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# ✅ Define the agent (Removed `output_modality`)
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agent = CodeAgent(
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model=model,
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tools=[final_answer, generate_sound, image_generation_tool], # Included image generation tool
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=None,
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description=None,
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prompt_templates=prompt_templates
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)
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# ✅ Start the UI with processing time display
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def launch_with_processing_time():
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def wrapped_launch():
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start_time = time.time()
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