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776ad2c ef5b05b d85ad82 776ad2c d85ad82 776ad2c ef5b05b 776ad2c ef5b05b 776ad2c ef5b05b f22493f 776ad2c d85ad82 d9df046 d85ad82 5b9a405 d85ad82 5b9a405 d85ad82 5b9a405 d85ad82 776ad2c f22493f ef5b05b d9df046 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 | import gradio as gr
import pickle
import base64
# ===============================
# LOAD MODEL & VECTORIZER
# ===============================
with open("dt_disaster_text_data_project_best.pkl", "rb") as f:
model = pickle.load(f)
with open("tfidf_vectorizer_disaster.pkl", "rb") as f:
vectorizer = pickle.load(f)
def predict_text(text):
vec = vectorizer.transform([text])
pred = model.predict(vec)[0]
return f"Predicted Category: {pred}"
# ===============================
# LOAD BACKGROUND IMAGE (HF SAFE)
# ===============================
def load_bg_image(path):
with open(path, "rb") as img:
return base64.b64encode(img.read()).decode()
bg_image = load_bg_image(
"stock-vector-a-homeless-man-holding-a-need-help-sign-sitting-down-2522562231.jpg"
)
# ===============================
# CUSTOM CSS (WORKING)
# ===============================
custom_css = f"""
html, body {{
height: 100%;
margin: 0;
overflow: hidden;
}}
body {{
background-image: url("data:image/jpg;base64,{bg_image}");
background-repeat: no-repeat;
background-position: center;
background-size: cover;
background-color: #000;
}}
.gradio-container {{
background: rgba(255, 255, 255, 0.94);
max-width: 460px;
margin: auto;
margin-top: 90px;
padding: 30px;
border-radius: 18px;
box-shadow: 0 12px 35px rgba(0,0,0,0.4);
}}
footer {{
display: none !important;
}}
"""
# ===============================
# GRADIO UI
# ===============================
with gr.Blocks(css=custom_css) as demo:
gr.Markdown("""
## 🚨 Disaster Text Classification
**Decision Tree + TF-IDF Model**
""")
inp = gr.Textbox(
label="Input Text",
placeholder="Enter disaster-related message..."
)
out = gr.Textbox(label="Prediction")
btn = gr.Button("🔍 Predict")
btn.click(predict_text, inp, out)
demo.launch()
|