Resolve merge conflicts and finalize Hugging Face Space configuration

- Fixed README.md with proper Hugging Face Space metadata
- Merged requirements.txt keeping all necessary dependencies
- Configured app for Streamlit SDK deployment
- Ready for Hugging Face Spaces deployment

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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Dockerfile

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+FROM python:3.9-slim
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    software-properties-common \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt ./
+COPY src/ ./src/
+
+RUN pip3 install -r requirements.txt
+
+EXPOSE 8501
+
+HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
+
+ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]

README.md

@@ -1,3 +1,14 @@
+---
+title: Checklist
+emoji: 🗂️
+colorFrom: blue
+colorTo: green
+sdk: streamlit
+app_file: app.py
+pinned: false
+short_description: Gerenciador de Checklists com IA e Analytics
+---
+
 # 🗂️ Gerenciador de Checklists
 
 Aplicativo completo para gerenciamento de checklists com análise de tempo e relatórios inteligentes.
@@ -97,4 +108,4 @@ checklist/
 
 - **Prazo Ideal**: 6 meses por processo
 - **Status de Prazo**: NO_PRAZO, EM_RISCO, RISCO_ATRASO, ATRASADO
-- **Análise de Velocidade**: Baseada em interações dos usuários
+- **Análise de Velocidade**: Baseada em interações dos usuários

requirements.txt

@@ -6,4 +6,5 @@ matplotlib==3.10.5
 seaborn==0.13.2
 openai==1.98.0
 reportlab==4.4.3
-python-dotenv==1.1.1
+python-dotenv==1.1.1
+altair

src/streamlit_app.py

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+import altair as alt
+import numpy as np
+import pandas as pd
+import streamlit as st
+
+"""
+# Welcome to Streamlit!
+
+Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
+If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
+forums](https://discuss.streamlit.io).
+
+In the meantime, below is an example of what you can do with just a few lines of code:
+"""
+
+num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
+num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
+
+indices = np.linspace(0, 1, num_points)
+theta = 2 * np.pi * num_turns * indices
+radius = indices
+
+x = radius * np.cos(theta)
+y = radius * np.sin(theta)
+
+df = pd.DataFrame({
+    "x": x,
+    "y": y,
+    "idx": indices,
+    "rand": np.random.randn(num_points),
+})
+
+st.altair_chart(alt.Chart(df, height=700, width=700)
+    .mark_point(filled=True)
+    .encode(
+        x=alt.X("x", axis=None),
+        y=alt.Y("y", axis=None),
+        color=alt.Color("idx", legend=None, scale=alt.Scale()),
+        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
+    ))