Update app.py
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app.py
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from smolagents import CodeAgent,
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import
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import
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import
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Below is an example of a tool that does nothing. Amaze us with your creativity !
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@tool
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def
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"""A tool that does nothing yet
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Args:
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"""
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@tool
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def
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"""
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Args:
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"""
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try:
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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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)
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# Import tool from Hub
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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
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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=
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description=
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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from smolagents import CodeAgent, HfApiModel, load_tool, tool
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import pandas as pd
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import matplotlib.pyplot as plt
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import io
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import base64
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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@tool
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def load_and_summarize_data(file: bytes, filename: str) -> str:
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"""Loads a CSV/Excel file from user input and generates a summary.
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Args:
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file: The uploaded file in bytes.
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filename: The original file name to determine format.
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"""
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try:
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if filename.endswith('.csv'):
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df = pd.read_csv(io.BytesIO(file))
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elif filename.endswith('.xlsx'):
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df = pd.read_excel(io.BytesIO(file))
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else:
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return "Unsupported format. Please upload a CSV or Excel file."
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summary = df.describe().to_string()
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return f"Dataset Summary:\n{summary}"
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except Exception as e:
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return f"Error processing the file: {str(e)}"
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@tool
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def generate_basic_charts(file: bytes, filename: str) -> str:
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"""Generates basic charts from an uploaded CSV/Excel file.
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Args:
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file: The uploaded file in bytes.
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filename: The original file name to determine format.
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"""
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try:
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if filename.endswith('.csv'):
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df = pd.read_csv(io.BytesIO(file))
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elif filename.endswith('.xlsx'):
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df = pd.read_excel(io.BytesIO(file))
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else:
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return "Unsupported format. Please upload a CSV or Excel file."
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img_paths = []
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for column in df.select_dtypes(include=['number']).columns[:3]: # Limit to 3 charts
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plt.figure()
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df[column].hist(bins=20)
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plt.title(f"Distribution of {column}")
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plt.xlabel(column)
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plt.ylabel("Frequency")
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img_buf = io.BytesIO()
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plt.savefig(img_buf, format="png")
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img_buf.seek(0)
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img_str = base64.b64encode(img_buf.getvalue()).decode("utf-8")
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img_paths.append(f'<img src="data:image/png;base64,{img_str}" />')
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return "Generated Charts:\n" + "\n".join(img_paths)
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except Exception as e:
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return f"Error generating charts: {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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)
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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, load_and_summarize_data, generate_basic_charts], # Updated to support file upload
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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="Data Report Assistant",
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description="An agent that processes uploaded CSV/Excel files, generates summaries, and visualizations.",
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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