import gradio as gr from gtts import gTTS from pydub import AudioSegment import pandas as pd import io csv_files = {"A1": "OF3KA1.csv", "A2": "OF3KA2.csv", "B1": "OF3KB1.csv", "B2": "OF3KB2.csv", "C1": "OF3KC1.csv", "5K": "OF5K.csv"} def load_data(level): csv_file_path = f"./{csv_files[level]}" data = pd.read_csv(csv_file_path) return data def generate_speech(level, x, y, audio_option, pos_filter): data = load_data(level) x, y = int(x), int(y) if pos_filter != "Any": filtered_df = data[(data['SID'] >= x) & (data['SID'] <= y) & (data['POS'].str.lower() == pos_filter.lower())] else: filtered_df = data[(data['SID'] >= x) & (data['SID'] <= y)] combined_audio = AudioSegment.silent(duration=1000) for _, row in filtered_df.iterrows(): if audio_option == "Audio with number": # Correcting the sentence structure to include both SID and the word's details properly sentence = f"Number {row['SID']}. {row['WORD']}! {row['WORD']} is a {row['POS']}." else: # "Audio without number" sentence = f"{row['WORD']}!" tts = gTTS(text=sentence, lang='en') mp3_fp = io.BytesIO() tts.write_to_fp(mp3_fp) mp3_fp.seek(0) sentence_audio = AudioSegment.from_file(mp3_fp, format="mp3") combined_audio += sentence_audio + AudioSegment.silent(duration=1500) mp3_io = io.BytesIO() combined_audio.export(mp3_io, format='mp3') mp3_io.seek(0) return mp3_io.getvalue() iface = gr.Interface( fn=generate_speech, inputs=[ gr.Dropdown(label="Select Level", choices=['A1', 'A2', 'B1', 'B2', 'C1', '5K']), gr.Number(label="Range: Start Number (x)"), gr.Number(label="Range: End Number (y)"), gr.Radio(label="Audio Option", choices=["Audio with number", "Audio without number"]), gr.Dropdown(label="Select Part of Speech", choices=["Any", "Noun", "Verb", "Adjective", "Adverb"]) # Corrected line ], outputs=gr.Audio(label="Generated Speech"), title="Oxford Learner Vocabulary by CEFR levels: Learn with Sound", description="Choose a level, define the starting and ending numbers, select the audio option, and filter by Part of Speech if desired. The system will create a single audio file. After submission, you have the option to download the audio file." ) iface.launch(share=True, debug=True)