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Runtime error
DSatishchandra
commited on
Commit
•
49e2d43
1
Parent(s):
c218b1a
Update app.py
Browse files
app.py
CHANGED
@@ -2,7 +2,7 @@ import gradio as gr
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import speech_recognition as sr
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from gtts import gTTS
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import os
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from playsound import playsound
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from transformers import pipeline
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# Initialize recognizer for speech recognition
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@@ -26,11 +26,19 @@ def process_order(order):
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else:
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return "Sorry, we didn't catch that. Please try again."
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# Function to handle speech recognition
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def recognize_speech(audio):
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try:
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#
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-
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response = process_order(text)
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# Using gTTS to respond back with speech
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@@ -42,6 +50,7 @@ def recognize_speech(audio):
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return response
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except Exception as e:
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return "Sorry, I could not understand."
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# Gradio Interface for the app
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@@ -49,8 +58,8 @@ def create_gradio_interface():
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with gr.Blocks() as demo:
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gr.Markdown("## AI Voice Bot for Food Ordering")
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# Audio Input: User speaks into microphone
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audio_input = gr.Audio(type="
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# Display the bot's response after recognition
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output_text = gr.Textbox(label="Bot Response")
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import speech_recognition as sr
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from gtts import gTTS
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import os
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from playsound import playsound
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from transformers import pipeline
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# Initialize recognizer for speech recognition
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else:
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return "Sorry, we didn't catch that. Please try again."
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# Function to handle speech recognition from audio files or microphone
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def recognize_speech(audio):
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try:
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# If audio is from file, use SpeechRecognition to convert speech to text
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if isinstance(audio, str): # Audio file input
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with sr.AudioFile(audio) as source:
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audio_data = recognizer.record(source)
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text = recognizer.recognize_google(audio_data)
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else: # Audio from microphone input
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text = recognizer.recognize_google(audio)
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print(f"Recognized text: {text}") # Print the recognized text for debugging
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response = process_order(text)
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# Using gTTS to respond back with speech
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return response
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except Exception as e:
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print(f"Error: {e}") # Print the error for debugging
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return "Sorry, I could not understand."
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# Gradio Interface for the app
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with gr.Blocks() as demo:
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gr.Markdown("## AI Voice Bot for Food Ordering")
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# Audio Input: User speaks into microphone or uploads a file
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audio_input = gr.Audio(type="file", label="Speak to the bot (Upload or Record Audio)")
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# Display the bot's response after recognition
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output_text = gr.Textbox(label="Bot Response")
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