Update app.py

app.py

@@ -1,3 +1,4 @@
+import gradio as gr
 import speech_recognition as sr
 from googletrans import Translator
 from textblob import TextBlob
@@ -6,7 +7,6 @@ from nltk.tokenize import word_tokenize
 from nltk.corpus import stopwords
 from nltk.stem import WordNetLemmatizer
 from gtts import gTTS
-import gradio as gr
 import tempfile
 import os
 
@@ -34,7 +34,7 @@ def text_to_speech(text):
     tts = gTTS(text)
     with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as fp:
         tts.save(fp.name)
-    return fp.name
+        return fp.name
 
 def process_input(input_text, input_audio, feature, target_language, output_language):
     if input_audio is not None:
@@ -75,7 +75,7 @@ def tts_function(text):
     return None
 
 # Create Gradio interface
-with gr.Blocks() as iface:
+with gr.Blocks() as demo:
     gr.Markdown("# The Advanced Multi-Faceted Chatbot")
     gr.Markdown("Enter text or speak to interact with the chatbot. Choose a feature and specify languages for translation if needed.")
     
@@ -85,8 +85,8 @@ with gr.Blocks() as iface:
     
     with gr.Row():
         feature = gr.Radio(["Translation", "Voice Command", "Transcription"], label="Feature")
-        target_language = gr.Textbox(label="Target Language")
-        output_language = gr.Textbox(label="Output Language")
+        target_language = gr.Textbox(label="Target Language ")
+        output_language = gr.Textbox(label="Output Language ")
     
     submit_button = gr.Button("Process")
     result_text = gr.Textbox(label="Result")
@@ -98,7 +98,7 @@ with gr.Blocks() as iface:
         inputs=[input_text, input_audio, feature, target_language, output_language],
         outputs=[result_text, audio_output]
     )
-
+    
     tts_button.click(
         tts_function,
         inputs=[result_text],
@@ -106,4 +106,4 @@ with gr.Blocks() as iface:
     )
 
 # Launch the interface
-iface.launch()
+demo.launch()