First commit

.gitignore

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+__pycache__

app.py

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+import gradio as gr
+from modules.m_connector import Connector
+
+iface = gr.Blocks(css="container {max-width: 78%; margin: auto;}")
+conn = Connector()
+
+with iface:
+    in_sentence = gr.Textbox(
+        label = "Active sentence",
+        lines=2,
+        placeholder = "Enter here the sentence without contractions...",
+    )
+    btn_act2pas = gr.Button(
+        value = "Pass to passive!"
+    )
+
+    error = gr.HTML()
+    
+    out_sentence = gr.HTML(
+        label = "Out. Pasive sentences:",
+    )
+
+    gr.Examples(
+        inputs = in_sentence,
+        examples = [
+            "The teacher corrected the exams in less than an hour",
+            "Christopher Columbus discovered America in 1492",
+            "Mchael Jackson sings Billy Jean",
+            "They are painting the house" ,
+            "My mom has prepared the dinner",
+            "The man has not found the farm"
+        ]
+    )
+
+    btn_act2pas.click(
+        fn = conn.active2passive,
+        inputs = in_sentence,
+        outputs = [error, out_sentence]
+    )
+
+iface.launch(
+    # server_port= 9090,
+    # server_name = "0.0.0.0",
+    share = True
+)

modules/.gitignore

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+__pycache__

modules/m_apvoice.py

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+import enum
+import subprocess
+import spacy
+import pyinflect
+from difflib import ndiff
+from typing import List, Union, Tuple
+
+# BES	auxiliary “be”		Let it **be**.
+# HVS	forms of “have”		I**’ve** seen the Queen
+# MD	verb, modal auxiliary	VerbType=mod	This **could** work.
+# VB	verb, base form	VerbForm=inf	I want to **go**.
+# VBD	verb, past tense	VerbForm=fin Tense=past	This **was** a sentence.
+# VBG	verb, gerund or present participle	VerbForm=part Tense=pres Aspect=prog	I am **going**.
+# VBN	verb, past participle	VerbForm=part Tense=past Aspect=perf	The treasure was **lost**.
+# VBP	verb, non-3rd person singular present	VerbForm=fin Tense=pres	I **want** to go.
+# VBZ	verb, 3rd person singular present	VerbForm=fin Tense=pres Number=sing Person=3	He **wants** to go.
+
+class APVoice:
+    class Tense(enum.Enum):
+        simple_present  = {
+            'aux':[None,'VBZ'], 
+            'main':['VBZ','VBP', 'VB'], 
+            'tobe':{'NN':'is{}','NNS':'are{}'}
+        }
+        simple_past     = {
+            'aux':[None, 'VBD'], 
+            'main':['VBD', 'VB'], 
+            'tobe':{'NN':'was{}','NNS':'were{}'}
+        }
+        future_simple   = {
+            'aux':['MD'], 
+            'main':['VB'], 
+            'tobe':{'NN':'will{} be','NNS':'will{} be'}
+        }
+        present_cont    = {
+            'aux':['VBP','VBZ'],
+            'main':['VBG'], 
+            'tobe':{'NN':'is{} being','NNS':'are{} being'}
+        }
+        past_cont       = {
+            'aux':['VBD'],
+            'main':['VBG'], 
+            'tobe':{'NN':'was{} being','NNS':'were{} being'}
+        }
+        present_perfect = {
+            'aux':['VBP','VBZ'],
+            'main':['VBN'], 
+            'tobe':{'NN':'has{} been','NNS':'have{} been'}
+        }
+
+    def __init__(
+        self
+    ) -> None:
+
+        self.parser = None
+        self.__init_parser(model="en_core_web_sm")
+
+    def __init_parser(
+        self,
+        model: str
+    ) -> None:
+
+        self.parser = None
+        try:
+            self.parser = spacy.load(model)
+        except:
+            print(f"* Downloading {model} model...")
+            _ = subprocess.Popen(
+                f"python -m spacy download {model}", 
+                stdout=subprocess.PIPE, 
+                shell=True).communicate()
+
+            self.parser = spacy.load(model)
+
+    def verb2participle(
+        self,
+        verb: str
+    ) -> str:
+
+        tk = self.parser(verb)[0]
+        return tk._.inflect('VBN')
+    
+    def subjp2objp(
+        self,
+        pronoun: str
+    ) -> str:
+        """
+        Convert Subject pronouns to Object pronouns.
+        """
+        mapping = {"i":"me","you":"you","we":"us","they":"them","he":"him","she":"her", "it":"it"}
+        return mapping.get(pronoun.lower(), None)
+
+    def get_gramatical_number(
+        self,
+        dobj_data: List[List[Tuple[str,str,str]]]
+    ) -> Union[str, None]:
+
+        result = [tag for _,dep,tag in dobj_data if dep == 'dobj']
+        if len(result) == 0:
+            result = None
+        else:
+            result = result[0].replace('NNP', 'NN')
+
+        return result
+    
+    def get_verbal_tense(
+        self,
+        verb_data: List[List[Tuple[str,str,str,int]]]
+    ) -> Union[str, None]:
+        
+        aux, neg, root = verb_data
+
+        root = root[0][2] if len(root) > 0 else None
+        aux = aux[0][2] if len(aux) > 0 else None
+
+        tense_name = None
+        for tense in self.Tense:
+            if aux in tense.value['aux'] and root in tense.value['main']:
+                tense_name = tense.name
+                break
+        
+        return tense_name
+
+    def get_subj(
+        self,
+        sentence: str,
+    ) -> Tuple[ List[Tuple[str,str,str]], str]:
+
+        out_data = []
+        for tk in self.parser(sentence):
+            if "subj" in tk.dep_:
+                out_data = [(t,t.dep_,t.tag_) for t in tk.subtree]
+                break
+        
+        out_str = ' '.join([t.text for t,_,_ in out_data])
+        return out_data, out_str
+    
+    def get_verb(
+        self,
+        sentence: str,
+    ) -> Tuple[ List[List[Tuple[str,str,str,int]]], str]:
+
+        main_data = []
+        aux_data = []
+        neg_data = []
+        out_data = []
+
+        for tk in self.parser(sentence):
+            if "ROOT" in tk.dep_:
+                main_data = [ (tk,tk.dep_,tk.tag_,tk.i)]
+                aux_data = [(t,t.dep_,t.tag_,t.i) for t in tk.children if t.dep_ == "aux"]
+                neg_data = [(t,t.dep_,t.tag_,t.i) for t in tk.children if t.dep_ == "neg"]
+                out_data = [aux_data, neg_data, main_data]
+                break
+
+        out_str = sorted([tup for list_ in out_data for tup in list_], key=lambda x: x[3])
+        out_str = ' '.join([t.text for t,_,_,_ in out_str])
+        return out_data, out_str
+
+    def get_dobj(
+        self,
+        sentence: str,
+    ) -> Tuple[ List[Tuple[str,str,str]], str]:
+
+        out_data = []
+        for tk in self.parser(sentence):
+            if "dobj" in tk.dep_:
+                out_data = [(t,t.dep_,t.tag_)for t in tk.subtree]
+                break
+
+        out_str = ' '.join([t.text for t,_,_ in out_data])
+        return out_data, out_str
+
+    def get_complement(
+        self,
+        subj: str,
+        verb: str,
+        dobj: str,
+        full_sentence: str,
+    ) -> str:
+        
+        concat_sentence = subj + ' ' + verb + ' ' + dobj
+        diff = ""  
+        for tk in ndiff(concat_sentence.split(), full_sentence.split()):
+            mark, word = tk[0], tk[2:]
+            if mark == '+':
+                diff += word + " "
+        
+        return diff.strip()
+
+    def active2passive(
+        self, 
+        active_sentence: str, 
+        debug: bool=False
+    ) -> List[str]:
+
+        active_sentence = active_sentence.strip()
+        if active_sentence == "":
+            raise RuntimeError(
+                    f"Error: The sentence does not be empty!"
+                )
+
+        subj_data, subj_str = self.get_subj(active_sentence)
+        if debug: print(subj_data)
+        if subj_str == "":
+            raise RuntimeError(
+                f"Error: The sentence's subject has not been found or the sentence does not be the correct format!"
+            )
+
+        verb_data, verb_str = self.get_verb(active_sentence)
+        if debug: print(verb_data)
+        if verb_str == "":
+            raise RuntimeError(
+                f"Error: The sentence's verb has not been found or the sentence does not be the correct format!"
+            )
+        
+        dobj_data, dobj_str = self.get_dobj(active_sentence)
+        if debug: print(dobj_data)
+        if dobj_str == "":
+            raise RuntimeError(
+                f"Error: The sentence's direct object has not been found or the sentence does not be the correct format!"
+            )
+
+        complement = self.get_complement(subj_str, verb_str, dobj_str, active_sentence)
+
+        # Get pasive subject
+        p_subj = dobj_str
+
+        # Get tense + participle verb
+        verbal_tense = self.get_verbal_tense(verb_data)
+        if debug: print(verbal_tense)
+        if verbal_tense is None:
+            raise RuntimeError(
+                f"Error: The sentence does not be the correct format or the verbal tense has not been implemented yet!"
+            ) 
+
+        _, neg_data, main_data = verb_data
+        neg = " not" if len(neg_data) > 0 else ""
+        gramatical_number = self.get_gramatical_number(dobj_data)
+        if debug: print(gramatical_number)
+        p_tobe = self.Tense[verbal_tense].value['tobe'][gramatical_number].format(neg)
+        p_verb = self.verb2participle(main_data[0][0].text)
+
+        # Convert active_object to pasive_agent
+        p_agent = "by "
+        for tk,_,tag in subj_data:
+            word = tk.text
+            if tag == 'PRP':
+                word = self.subjp2objp(word)
+            p_agent += word + " "
+
+        # return f"{p_subj.capitalize()} {p_tobe} {p_verb} {p_agent.strip().lower()} {complement}"
+        return [p_subj.capitalize(), p_tobe, p_verb, p_agent.strip().lower(), complement]

modules/m_connector.py

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+from typing import Tuple
+from modules.m_apvoice import APVoice
+
+class Connector:
+    def __init__(
+        self
+    ) -> None:
+
+        self.apvoice = APVoice()
+        
+            # <center>{}</center>
+        self.__out_template = """
+        <html lang="en">
+        <head>
+            <meta charset="utf-8">
+            <meta name="viewport" content="width=device-width, initial-scale=1">
+            <link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-GLhlTQ8iRABdZLl6O3oVMWSktQOp6b7In1Zl3/Jr59b6EGGoI1aFkw7cmDA6j6gD" crossorigin="anonymous">
+        </head>
+        <body>
+            <center><div class="btn-group btn-group-sm" role="group">{}</div></center>
+            <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js" integrity="sha384-w76AqPfDkMBDXo30jS1Sgez6pr3x5MlQ1ZAGC+nuZB+EYdgRZgiwxhTBTkF7CXvN" crossorigin="anonymous"></script>
+        </body>
+        </html>
+        """
+        self.__error_template = "<center><b>{}</b></center>"
+
+    def create_category(
+        self,
+        text: str,
+        category: str,
+        color: str
+    ) -> str:
+
+        html = f"""
+            <div type="button" title="{category}" class="btn btn-{color} btn-sm p-2">
+            <b>{text}</b><br> 
+            <span class="badge text-bg-light">{category}</span>
+            </div>
+        """
+        return html if text != "" else ""
+
+    def active2passive(
+        self,
+        sentence: str
+    ) -> Tuple[str,str]:
+
+        out, error = "", ""
+        try:
+            subject, tobe, participle, agent, complement = self.apvoice.active2passive(sentence)
+            verb = f"""
+            """
+            passive_sentece = f"""
+                {self.create_category(subject, 'subject','primary')}
+                {self.create_category(tobe,'to be','warning')}
+                {self.create_category(participle,'participle','danger')}
+                {self.create_category(agent,'agent','info')}
+                {self.create_category(complement,'compl.','dark')}
+            """
+            out = self.__out_template.format(passive_sentece)
+
+        except Exception as e:
+            error = self.__error_template.format(str(e))
+
+        return error, out

requirements.txt

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+pyinflect