Update app.py
Browse files
app.py
CHANGED
|
@@ -17,32 +17,40 @@ st.set_page_config(
|
|
| 17 |
initial_sidebar_state="expanded"
|
| 18 |
)
|
| 19 |
|
| 20 |
-
# Custom CSS for
|
| 21 |
st.markdown("""
|
| 22 |
<style>
|
| 23 |
.stApp {
|
| 24 |
-
background-color: #
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
}
|
| 26 |
.stButton>button {
|
| 27 |
background-color: #4CAF50;
|
| 28 |
-
color:
|
| 29 |
border-radius: 5px;
|
| 30 |
padding: 0.5rem 1rem;
|
| 31 |
border: none;
|
| 32 |
}
|
| 33 |
-
.
|
| 34 |
-
|
| 35 |
-
padding: 0.5rem;
|
| 36 |
-
}
|
| 37 |
-
.stSelectbox>div>div>select {
|
| 38 |
-
border-radius: 5px;
|
| 39 |
-
padding: 0.5rem;
|
| 40 |
}
|
| 41 |
.css-1aumxhk {
|
| 42 |
-
background-color: #
|
| 43 |
border-radius: 10px;
|
| 44 |
padding: 2rem;
|
| 45 |
-
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.
|
|
|
|
| 46 |
}
|
| 47 |
.header {
|
| 48 |
color: #4CAF50;
|
|
@@ -51,10 +59,63 @@ st.markdown("""
|
|
| 51 |
margin-bottom: 1rem;
|
| 52 |
}
|
| 53 |
.subheader {
|
| 54 |
-
color: #
|
| 55 |
font-size: 1.5rem;
|
| 56 |
margin-bottom: 1rem;
|
| 57 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 58 |
</style>
|
| 59 |
""", unsafe_allow_html=True)
|
| 60 |
|
|
@@ -74,6 +135,12 @@ with st.sidebar:
|
|
| 74 |
icons=["house", "file-earmark-text", "cpu", "gear", "graph-up", "cloud-upload", "info-circle"],
|
| 75 |
menu_icon="cast",
|
| 76 |
default_index=0,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 77 |
)
|
| 78 |
|
| 79 |
# Home Page
|
|
@@ -126,7 +193,7 @@ elif selected == "Data Preparation":
|
|
| 126 |
|
| 127 |
if st.session_state['data_type'] == "text/csv":
|
| 128 |
df = pd.read_csv(st.session_state['data_path'])
|
| 129 |
-
st.dataframe(df.head())
|
| 130 |
elif st.session_state['data_type'] == "application/json":
|
| 131 |
with open(st.session_state['data_path']) as f:
|
| 132 |
data = json.load(f)
|
|
@@ -151,7 +218,7 @@ elif selected == "Data Preparation":
|
|
| 151 |
col3.metric("Missing Values", df.isnull().sum().sum())
|
| 152 |
|
| 153 |
st.markdown("**Column Types**")
|
| 154 |
-
st.table(df.dtypes.reset_index().rename(columns={"index": "Column", 0: "Type"}))
|
| 155 |
else:
|
| 156 |
st.info("Detailed statistics available for CSV files only.")
|
| 157 |
|
|
@@ -300,11 +367,6 @@ elif selected == "Deployment":
|
|
| 300 |
with st.spinner("Uploading model to Hugging Face Hub..."):
|
| 301 |
time.sleep(3)
|
| 302 |
|
| 303 |
-
# In a real app, you would use:
|
| 304 |
-
# api = HfApi()
|
| 305 |
-
# api.create_repo(repo_name, private=(privacy == "Private"), token=hf_token)
|
| 306 |
-
# api.upload_folder(folder_path=st.session_state['model_path'], repo_id=repo_name)
|
| 307 |
-
|
| 308 |
st.success(f"Model successfully deployed to Hugging Face Hub!")
|
| 309 |
st.markdown(f"Your model is available at: [https://huggingface.co/{repo_name}](https://huggingface.co/{repo_name})")
|
| 310 |
|
|
@@ -344,7 +406,7 @@ elif selected == "About":
|
|
| 344 |
# Footer
|
| 345 |
st.markdown("---")
|
| 346 |
st.markdown("""
|
| 347 |
-
<div style="text-align: center; color: #
|
| 348 |
LLM Fine-Tuning & Deployment App | Powered by Streamlit and Hugging Face
|
| 349 |
</div>
|
| 350 |
""", unsafe_allow_html=True)
|
|
|
|
| 17 |
initial_sidebar_state="expanded"
|
| 18 |
)
|
| 19 |
|
| 20 |
+
# Custom CSS for dark theme
|
| 21 |
st.markdown("""
|
| 22 |
<style>
|
| 23 |
.stApp {
|
| 24 |
+
background-color: #000000;
|
| 25 |
+
color: #ffffff;
|
| 26 |
+
}
|
| 27 |
+
.stTextInput>div>div>input, .stTextArea>div>div>textarea {
|
| 28 |
+
background-color: #1a1a1a;
|
| 29 |
+
color: #ffffff;
|
| 30 |
+
}
|
| 31 |
+
.stSelectbox>div>div>select {
|
| 32 |
+
background-color: #1a1a1a;
|
| 33 |
+
color: #ffffff;
|
| 34 |
+
}
|
| 35 |
+
.stSlider>div>div>div>div {
|
| 36 |
+
background-color: #4CAF50;
|
| 37 |
}
|
| 38 |
.stButton>button {
|
| 39 |
background-color: #4CAF50;
|
| 40 |
+
color: white;
|
| 41 |
border-radius: 5px;
|
| 42 |
padding: 0.5rem 1rem;
|
| 43 |
border: none;
|
| 44 |
}
|
| 45 |
+
.stButton>button:hover {
|
| 46 |
+
background-color: #45a049;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 47 |
}
|
| 48 |
.css-1aumxhk {
|
| 49 |
+
background-color: #121212;
|
| 50 |
border-radius: 10px;
|
| 51 |
padding: 2rem;
|
| 52 |
+
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.3);
|
| 53 |
+
color: #ffffff;
|
| 54 |
}
|
| 55 |
.header {
|
| 56 |
color: #4CAF50;
|
|
|
|
| 59 |
margin-bottom: 1rem;
|
| 60 |
}
|
| 61 |
.subheader {
|
| 62 |
+
color: #4CAF50;
|
| 63 |
font-size: 1.5rem;
|
| 64 |
margin-bottom: 1rem;
|
| 65 |
}
|
| 66 |
+
.st-bb {
|
| 67 |
+
background-color: transparent;
|
| 68 |
+
}
|
| 69 |
+
.st-at {
|
| 70 |
+
background-color: #1a1a1a;
|
| 71 |
+
}
|
| 72 |
+
.st-bh {
|
| 73 |
+
color: #ffffff;
|
| 74 |
+
}
|
| 75 |
+
.st-ag {
|
| 76 |
+
font-size: 1rem;
|
| 77 |
+
color: #ffffff;
|
| 78 |
+
}
|
| 79 |
+
.st-ae {
|
| 80 |
+
background-color: #1a1a1a;
|
| 81 |
+
}
|
| 82 |
+
.st-af {
|
| 83 |
+
color: #ffffff;
|
| 84 |
+
}
|
| 85 |
+
.stProgress>div>div>div>div {
|
| 86 |
+
background-color: #4CAF50;
|
| 87 |
+
}
|
| 88 |
+
div[data-baseweb="select"]>div {
|
| 89 |
+
background-color: #1a1a1a;
|
| 90 |
+
color: white;
|
| 91 |
+
}
|
| 92 |
+
.st-b7 {
|
| 93 |
+
background-color: transparent;
|
| 94 |
+
}
|
| 95 |
+
.st-b8 {
|
| 96 |
+
color: #ffffff;
|
| 97 |
+
}
|
| 98 |
+
.st-b9 {
|
| 99 |
+
background-color: #1a1a1a;
|
| 100 |
+
}
|
| 101 |
+
.st-ba {
|
| 102 |
+
color: #ffffff;
|
| 103 |
+
}
|
| 104 |
+
.stRadio>div {
|
| 105 |
+
color: #ffffff;
|
| 106 |
+
}
|
| 107 |
+
.stCheckbox>div>label>div {
|
| 108 |
+
color: #ffffff;
|
| 109 |
+
}
|
| 110 |
+
.stFileUploader>div>div>div>div {
|
| 111 |
+
color: #ffffff;
|
| 112 |
+
}
|
| 113 |
+
.stMarkdown {
|
| 114 |
+
color: #ffffff;
|
| 115 |
+
}
|
| 116 |
+
.stAlert {
|
| 117 |
+
background-color: #1a1a1a;
|
| 118 |
+
}
|
| 119 |
</style>
|
| 120 |
""", unsafe_allow_html=True)
|
| 121 |
|
|
|
|
| 135 |
icons=["house", "file-earmark-text", "cpu", "gear", "graph-up", "cloud-upload", "info-circle"],
|
| 136 |
menu_icon="cast",
|
| 137 |
default_index=0,
|
| 138 |
+
styles={
|
| 139 |
+
"container": {"padding": "5px", "background-color": "#121212"},
|
| 140 |
+
"icon": {"color": "#4CAF50", "font-size": "18px"},
|
| 141 |
+
"nav-link": {"color": "#ffffff", "font-size": "16px", "text-align": "left", "margin": "0px"},
|
| 142 |
+
"nav-link-selected": {"background-color": "#4CAF50", "color": "#ffffff"},
|
| 143 |
+
}
|
| 144 |
)
|
| 145 |
|
| 146 |
# Home Page
|
|
|
|
| 193 |
|
| 194 |
if st.session_state['data_type'] == "text/csv":
|
| 195 |
df = pd.read_csv(st.session_state['data_path'])
|
| 196 |
+
st.dataframe(df.head().style.set_properties(**{'background-color': '#1a1a1a', 'color': 'white'}))
|
| 197 |
elif st.session_state['data_type'] == "application/json":
|
| 198 |
with open(st.session_state['data_path']) as f:
|
| 199 |
data = json.load(f)
|
|
|
|
| 218 |
col3.metric("Missing Values", df.isnull().sum().sum())
|
| 219 |
|
| 220 |
st.markdown("**Column Types**")
|
| 221 |
+
st.table(df.dtypes.reset_index().rename(columns={"index": "Column", 0: "Type"}).style.set_properties(**{'background-color': '#1a1a1a', 'color': 'white'}))
|
| 222 |
else:
|
| 223 |
st.info("Detailed statistics available for CSV files only.")
|
| 224 |
|
|
|
|
| 367 |
with st.spinner("Uploading model to Hugging Face Hub..."):
|
| 368 |
time.sleep(3)
|
| 369 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 370 |
st.success(f"Model successfully deployed to Hugging Face Hub!")
|
| 371 |
st.markdown(f"Your model is available at: [https://huggingface.co/{repo_name}](https://huggingface.co/{repo_name})")
|
| 372 |
|
|
|
|
| 406 |
# Footer
|
| 407 |
st.markdown("---")
|
| 408 |
st.markdown("""
|
| 409 |
+
<div style="text-align: center; color: #4CAF50; font-size: 0.9rem;">
|
| 410 |
LLM Fine-Tuning & Deployment App | Powered by Streamlit and Hugging Face
|
| 411 |
</div>
|
| 412 |
""", unsafe_allow_html=True)
|