Update app.py

app.py

@@ -1,4 +1,7 @@
-# Step 1: Import necessary libraries
+# Step 1: Install Gradio
+!pip install gradio
+
+# Step 2: Import necessary libraries
 import gradio as gr
 import json
 import torch
@@ -6,13 +9,13 @@ from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5Hif
 from datasets import load_dataset
 import soundfile as sf
 
-# Step 2: Load the models and the pronunciation dictionary
+# Step 3: Load the models and the pronunciation dictionary
 processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
 model = SpeechT5ForTextToSpeech.from_pretrained("microsoft/speecht5_tts")
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
 
 # Load pronunciation dictionary from JSON file
-with open("pronunciation_dict.json", "r") as f:
+with open("/content/pronunciation_dict (3) (1).json", "r") as f:
     pronunciation_dict = json.load(f)
 
 # Function to preprocess the input text
@@ -21,7 +24,7 @@ def preprocess_text(text):
         text = text.replace(term, phonetic)
     return text
 
-# Step 3: Define the TTS function
+# Step 4: Define the TTS function
 def text_to_speech(input_text):
     # Preprocess the text
     processed_text = preprocess_text(input_text)
@@ -42,12 +45,12 @@ def text_to_speech(input_text):
 
     return output_file
 
-# Step 4: Create Gradio interface
+# Step 5: Create Gradio interface
 iface = gr.Interface(fn=text_to_speech,
                      inputs="text",
                      outputs="audio",
                      title="Text-to-Speech (TTS) Application",
                      description="Enter text with technical jargon for TTS conversion.")
 
-# Step 5: Launch the app
+# Step 6: Launch the app
 iface.launch(share=True)