Create app.py

app.py

@@ -0,0 +1,109 @@
+import gradio as gr
+from transformers import pipeline
+from transformers import AutoTokenizer
+
+models = {
+    "RUPunct-small": "RUPunct/RUPunct_small",
+    "RUPunct-big": "RUPunct/RUPunct_big",
+    "RUPunct-medium": "RUPunct/RUPunct_medium"
+}
+
+pipelines = {}
+
+for model_name, model_path in models.items():
+    tokenizer = AutoTokenizer.from_pretrained(model_path, strip_accents=False, add_prefix_space=True)
+    pipelines[model_name] = pipeline("ner", model=model_path, tokenizer=tokenizer, aggregation_strategy="first")
+
+def process_token(token, label):
+    if label == "LOWER_O":
+        return token
+    if label == "LOWER_PERIOD":
+        return token + "."
+    if label == "LOWER_COMMA":
+        return token + ","
+    if label == "LOWER_QUESTION":
+        return token + "?"
+    if label == "LOWER_TIRE":
+        return token + "—"
+    if label == "LOWER_DVOETOCHIE":
+        return token + ":"
+    if label == "LOWER_VOSKL":
+        return token + "!"
+    if label == "LOWER_PERIODCOMMA":
+        return token + ";"
+    if label == "LOWER_DEFIS":
+        return token + "-"
+    if label == "LOWER_MNOGOTOCHIE":
+        return token + "..."
+    if label == "LOWER_QUESTIONVOSKL":
+        return token + "?!"
+    if label == "UPPER_O":
+        return token.capitalize()
+    if label == "UPPER_PERIOD":
+        return token.capitalize() + "."
+    if label == "UPPER_COMMA":
+        return token.capitalize() + ","
+    if label == "UPPER_QUESTION":
+        return token.capitalize() + "?"
+    if label == "UPPER_TIRE":
+        return token.capitalize() + " —"
+    if label == "UPPER_DVOETOCHIE":
+        return token.capitalize() + ":"
+    if label == "UPPER_VOSKL":
+        return token.capitalize() + "!"
+    if label == "UPPER_PERIODCOMMA":
+        return token.capitalize() + ";"
+    if label == "UPPER_DEFIS":
+        return token.capitalize() + "-"
+    if label == "UPPER_MNOGOTOCHIE":
+        return token.capitalize() + "..."
+    if label == "UPPER_QUESTIONVOSKL":
+        return token.capitalize() + "?!"
+    if label == "UPPER_TOTAL_O":
+        return token.upper()
+    if label == "UPPER_TOTAL_PERIOD":
+        return token.upper() + "."
+    if label == "UPPER_TOTAL_COMMA":
+        return token.upper() + ","
+    if label == "UPPER_TOTAL_QUESTION":
+        return token.upper() + "?"
+    if label == "UPPER_TOTAL_TIRE":
+        return token.upper() + " —"
+    if label == "UPPER_TOTAL_DVOETOCHIE":
+        return token.upper() + ":"
+    if label == "UPPER_TOTAL_VOSKL":
+        return token.upper() + "!"
+    if label == "UPPER_TOTAL_PERIODCOMMA":
+        return token.upper() + ";"
+    if label == "UPPER_TOTAL_DEFIS":
+        return token.upper() + "-"
+    if label == "UPPER_TOTAL_MNOGOTOCHIE":
+        return token.upper() + "..."
+    if label == "UPPER_TOTAL_QUESTIONVOSKL":
+        return token.upper() + "?!"
+
+
+def punctuate(input_text, model_name):
+    classifier = pipelines[model_name]
+    
+    preds = classifier(input_text)
+    output = ""
+    for item in preds:
+        if item["word"] == ".":
+            item["entity_group"] = "O"
+        output += " " + process_token(item['word'].strip(), item['entity_group'])
+
+    return output.strip()
+
+iface = gr.Interface(
+    fn=punctuate,
+    inputs=[
+        gr.inputs.Textbox(lines=5, placeholder="Введите текст"),
+        gr.inputs.Radio(list(models.keys()), label="Модель")
+    ],
+    outputs="text",
+    title="RUPunct",
+    description="Демо RUPunct - модели для автоматической расстановки знаков препинания в русском тексте.",
+)
+
+iface.launch()