Spaces:
Sleeping
Sleeping
Adding All
Browse filesAdding all models prediction
app.py
CHANGED
|
@@ -192,6 +192,41 @@ def plot(label, prob):
|
|
| 192 |
ax.set_xlabel("Confidence", color=BLACK_COLOR)
|
| 193 |
st.pyplot(fig)
|
| 194 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 195 |
def compute(sentences, version = 'v3'):
|
| 196 |
"""Computes the language probablities and labels for the given sentences.
|
| 197 |
|
|
@@ -213,8 +248,10 @@ def compute(sentences, version = 'v3'):
|
|
| 213 |
model_choice = model_afroxlmr_base
|
| 214 |
elif version=='afrolm':
|
| 215 |
model_choice = model_afrolm
|
| 216 |
-
|
| 217 |
model_choice = za_lid
|
|
|
|
|
|
|
| 218 |
|
| 219 |
my_bar = st.progress(0, text=progress_text)
|
| 220 |
|
|
@@ -224,33 +261,63 @@ def compute(sentences, version = 'v3'):
|
|
| 224 |
sentences = [preprocess_text(sent) for sent in sentences]
|
| 225 |
|
| 226 |
for index, sent in enumerate(sentences):
|
| 227 |
-
|
| 228 |
-
|
| 229 |
-
|
| 230 |
-
|
| 231 |
-
|
| 232 |
-
|
| 233 |
-
|
| 234 |
-
|
| 235 |
-
|
| 236 |
-
|
| 237 |
-
|
| 238 |
-
|
| 239 |
-
|
| 240 |
-
|
| 241 |
-
|
| 242 |
-
|
| 243 |
-
|
| 244 |
-
|
| 245 |
-
|
| 246 |
-
|
| 247 |
-
|
| 248 |
-
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
|
| 252 |
-
|
| 253 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 254 |
my_bar.empty()
|
| 255 |
return probs, labels
|
| 256 |
|
|
@@ -276,8 +343,8 @@ with tab1:
|
|
| 276 |
|
| 277 |
version = st.radio(
|
| 278 |
"Choose model",
|
| 279 |
-
["xlmrlarge", "serengeti", "afriberta", "afroxlmrbase", "afrolm", "BERT"],
|
| 280 |
-
captions=["za-XLMR-Large", "za-Serengeti", "za-AfriBERTa", "za-Afro-XLMR-BASE", "za-AfroLM", "za-BERT"],
|
| 281 |
index = 4,
|
| 282 |
key = 'version_tab1',
|
| 283 |
horizontal = True
|
|
@@ -308,15 +375,18 @@ with tab1:
|
|
| 308 |
f.write(f"{sent}, {label}: {prob}\n")
|
| 309 |
|
| 310 |
# plot
|
| 311 |
-
|
|
|
|
|
|
|
|
|
|
| 312 |
|
| 313 |
|
| 314 |
with tab2:
|
| 315 |
|
| 316 |
version = st.radio(
|
| 317 |
"Choose model",
|
| 318 |
-
["xlmrlarge", "serengeti", "afriberta", "afroxlmrbase", "afrolm", "BERT"],
|
| 319 |
-
captions=["za-XLMR-Large", "za-Serengeti", "za-AfriBERTa", "za-Afro-XLMR-BASE", "za-AfroLM", "za-BERT"],
|
| 320 |
index = 4,
|
| 321 |
key = 'version_tab2',
|
| 322 |
horizontal = True
|
|
|
|
| 192 |
ax.set_xlabel("Confidence", color=BLACK_COLOR)
|
| 193 |
st.pyplot(fig)
|
| 194 |
|
| 195 |
+
# @st.cache_resource
|
| 196 |
+
def plot_multiples(models, labels, probs):
|
| 197 |
+
ORANGE_COLOR = "#FF8000"
|
| 198 |
+
BLACK_COLOR = "#31333F"
|
| 199 |
+
|
| 200 |
+
fig, ax = plt.subplots(figsize=(8, len(models)))
|
| 201 |
+
fig.patch.set_facecolor("none")
|
| 202 |
+
ax.set_facecolor("none")
|
| 203 |
+
|
| 204 |
+
ax.spines["left"].set_color(BLACK_COLOR)
|
| 205 |
+
ax.spines["bottom"].set_color(BLACK_COLOR)
|
| 206 |
+
ax.tick_params(axis="x", colors=BLACK_COLOR)
|
| 207 |
+
|
| 208 |
+
ax.spines[["right", "top"]].set_visible(False)
|
| 209 |
+
|
| 210 |
+
# Plot bars for each model, label, and probability
|
| 211 |
+
y_positions = range(len(models)) # Y positions for each model
|
| 212 |
+
|
| 213 |
+
ax.barh(y=y_positions, width=probs, color=ORANGE_COLOR)
|
| 214 |
+
|
| 215 |
+
# Add labels next to each bar
|
| 216 |
+
for i, (prob, label) in enumerate(zip(probs, labels)):
|
| 217 |
+
ax.text(prob + 0.01, i, f"{label} ({prob:.2f})", va='center', color=BLACK_COLOR)
|
| 218 |
+
|
| 219 |
+
# Set y-ticks and labels
|
| 220 |
+
ax.set_yticks(y_positions)
|
| 221 |
+
ax.set_yticklabels(models, color=BLACK_COLOR)
|
| 222 |
+
|
| 223 |
+
ax.set_xlim(0, 1)
|
| 224 |
+
ax.set_xlabel("Confidence", color=BLACK_COLOR)
|
| 225 |
+
ax.set_title("Model Predictions", color=BLACK_COLOR)
|
| 226 |
+
|
| 227 |
+
st.pyplot(fig)
|
| 228 |
+
|
| 229 |
+
|
| 230 |
def compute(sentences, version = 'v3'):
|
| 231 |
"""Computes the language probablities and labels for the given sentences.
|
| 232 |
|
|
|
|
| 248 |
model_choice = model_afroxlmr_base
|
| 249 |
elif version=='afrolm':
|
| 250 |
model_choice = model_afrolm
|
| 251 |
+
elif version == 'BERT':
|
| 252 |
model_choice = za_lid
|
| 253 |
+
else:
|
| 254 |
+
model_choice = [model_xlmr_large,model_serengeti, model_afriberta, model_afroxlmr_base, model_afrolm, za_lid]
|
| 255 |
|
| 256 |
my_bar = st.progress(0, text=progress_text)
|
| 257 |
|
|
|
|
| 261 |
sentences = [preprocess_text(sent) for sent in sentences]
|
| 262 |
|
| 263 |
for index, sent in enumerate(sentences):
|
| 264 |
+
if type(model_choice) == list:
|
| 265 |
+
all_models_pred = []
|
| 266 |
+
for model in model_choise:
|
| 267 |
+
output = model.predict(sent)
|
| 268 |
+
output_label = output[index]['label']
|
| 269 |
+
output_prob = output[index]['score']
|
| 270 |
+
output_label_language = output[index]['label']
|
| 271 |
+
# output_label = output[0][0].split('__')[-1].replace('_Hans', '_Hani').replace('_Hant', '_Hani')
|
| 272 |
+
# output_prob = max(min(output[1][0], 1), 0)
|
| 273 |
+
# output_label_language = output_label.split('_')[0]
|
| 274 |
+
|
| 275 |
+
# # script control
|
| 276 |
+
# if version in ['v3', 'v2', 'openlid-201', 'nllb-218'] and output_label_language!= 'zxx':
|
| 277 |
+
# main_script, all_scripts = get_script(sent)
|
| 278 |
+
# output_label_script = output_label.split('_')[1]
|
| 279 |
+
|
| 280 |
+
# if output_label_script not in all_scripts:
|
| 281 |
+
# output_label_script = main_script
|
| 282 |
+
# output_label = f"und_{output_label_script}"
|
| 283 |
+
# output_prob = 0
|
| 284 |
+
|
| 285 |
+
|
| 286 |
+
labels = labels + [output_label]
|
| 287 |
+
probs = probs + [output_prob]
|
| 288 |
+
|
| 289 |
+
my_bar.progress(
|
| 290 |
+
min((index) / len(sentences), 1),
|
| 291 |
+
text=progress_text,
|
| 292 |
+
)
|
| 293 |
+
|
| 294 |
+
else:
|
| 295 |
+
output = model_choice.predict(sent)
|
| 296 |
+
output_label = output[index]['label']
|
| 297 |
+
output_prob = output[index]['score']
|
| 298 |
+
output_label_language = output[index]['label']
|
| 299 |
+
# output_label = output[0][0].split('__')[-1].replace('_Hans', '_Hani').replace('_Hant', '_Hani')
|
| 300 |
+
# output_prob = max(min(output[1][0], 1), 0)
|
| 301 |
+
# output_label_language = output_label.split('_')[0]
|
| 302 |
+
|
| 303 |
+
# # script control
|
| 304 |
+
# if version in ['v3', 'v2', 'openlid-201', 'nllb-218'] and output_label_language!= 'zxx':
|
| 305 |
+
# main_script, all_scripts = get_script(sent)
|
| 306 |
+
# output_label_script = output_label.split('_')[1]
|
| 307 |
+
|
| 308 |
+
# if output_label_script not in all_scripts:
|
| 309 |
+
# output_label_script = main_script
|
| 310 |
+
# output_label = f"und_{output_label_script}"
|
| 311 |
+
# output_prob = 0
|
| 312 |
+
|
| 313 |
+
|
| 314 |
+
labels = labels + [output_label]
|
| 315 |
+
probs = probs + [output_prob]
|
| 316 |
+
|
| 317 |
+
my_bar.progress(
|
| 318 |
+
min((index) / len(sentences), 1),
|
| 319 |
+
text=progress_text,
|
| 320 |
+
)
|
| 321 |
my_bar.empty()
|
| 322 |
return probs, labels
|
| 323 |
|
|
|
|
| 343 |
|
| 344 |
version = st.radio(
|
| 345 |
"Choose model",
|
| 346 |
+
["xlmrlarge", "serengeti", "afriberta", "afroxlmrbase", "afrolm", "BERT", "All-Models"],
|
| 347 |
+
captions=["za-XLMR-Large", "za-Serengeti", "za-AfriBERTa", "za-Afro-XLMR-BASE", "za-AfroLM", "za-BERT", 'All-Models'],
|
| 348 |
index = 4,
|
| 349 |
key = 'version_tab1',
|
| 350 |
horizontal = True
|
|
|
|
| 375 |
f.write(f"{sent}, {label}: {prob}\n")
|
| 376 |
|
| 377 |
# plot
|
| 378 |
+
if version == "All-Models":
|
| 379 |
+
plot_multiples(["xlmrlarge", "serengeti", "afriberta", "afroxlmrbase", "afrolm", "BERT"], labels, probs)
|
| 380 |
+
else:
|
| 381 |
+
plot(label, prob)
|
| 382 |
|
| 383 |
|
| 384 |
with tab2:
|
| 385 |
|
| 386 |
version = st.radio(
|
| 387 |
"Choose model",
|
| 388 |
+
["xlmrlarge", "serengeti", "afriberta", "afroxlmrbase", "afrolm", "BERT", "All-Models"],
|
| 389 |
+
captions=["za-XLMR-Large", "za-Serengeti", "za-AfriBERTa", "za-Afro-XLMR-BASE", "za-AfroLM", "za-BERT", "All-Models"],
|
| 390 |
index = 4,
|
| 391 |
key = 'version_tab2',
|
| 392 |
horizontal = True
|