Create app.py

app.py

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+import PyPDF2 
+from docx import Document
+import os
+from unittest.mock import patch
+from TTS.api import TTS
+import torch
+import gradio as gr
+
+
+os.environ["COQUI_TOS_AGREED"] = "1"
+
+# Function to always return 'y'
+def always_yes(*args, **kwargs):
+    return 'y'
+
+#Get device
+device="cuda:0" if torch.cuda.is_available() else "cpu"
+tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2", progress_bar=False).to(device)
+
+#################################
+# Path to the audio file
+SAMPLE_AUDIOS = ["sampleaudio.wav"]
+
+################################
+
+
+def text_to_speech(text):
+    save_path = "outputz.wav"
+    try:
+        tts.tts_to_file(
+            text,
+            speaker_wav=SAMPLE_AUDIOS,
+            language="en",
+            file_path=save_path,
+            split_sentences=True,
+        )
+        return save_path
+    except Exception as e:
+        return str(e)
+
+def extract_text_from_pdf(file_path):
+    with open(file_path, 'rb') as file:
+        reader = PyPDF2.PdfReader(file)
+        text = "".join([page.extract_text() for page in reader.pages])
+    return text
+
+def extract_text_from_doc(file_path):
+    doc = Document(file_path)
+    return "\n".join([para.text for para in doc.paragraphs])
+
+def file_to_audio(file_path):
+    file_type = file_path.split('.')[-1]
+    if file_type == 'pdf':
+        text = extract_text_from_pdf(file_path)
+    elif file_type in ['doc', 'docx']:
+        text = extract_text_from_doc(file_path)
+    else:
+        return "Unsupported file format"
+
+    return text_to_speech(text)
+def handle_inputs(text, file):
+    if text and file:
+        return None, "Please provide only one input at a time: text or file."
+    elif text:
+        audio_path = text_to_speech(text)
+        return audio_path, "Thanks for your text input"
+    elif file:
+        audio_path = file_to_audio(file)
+        return audio_path, 'Thanks for your File'
+    else:
+        return None, "No input provided."