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README.md
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title:
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colorFrom: pink
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colorTo: pink
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sdk: gradio
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sdk_version: 5.7.0
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app_file: app.py
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pinned: false
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: test
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app_file: app.py
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sdk: gradio
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sdk_version: 5.7.0
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app.py
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import gradio as gr
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# Backend processing function
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def process_text(input_text):
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# Example processing: Return the text with a prefix
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return f"Processed Text: {input_text}"
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# Define the Gradio interface
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with gr.Blocks() as demo:
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# Title
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gr.Markdown("# Speech-to-Text Demo with Web Speech API")
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# Input and output elements
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with gr.Row():
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input_box = gr.Textbox(label="Speech-to-Text Input", elem_id="speech-input")
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output_box = gr.Textbox(label="Processed Output")
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with gr.Row():
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speech_button = gr.Button("Start Speech Recognition", elem_id="speech-button")
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# Link the input box to the backend processing function
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speech_button.click(process_text, inputs=input_box, outputs=output_box)
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# Inject JavaScript for Web Speech API
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gr.HTML("""
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<script>
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// Function to initialize and start the Web Speech API
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function startSpeechRecognition() {
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const recognition = new (window.SpeechRecognition || window.webkitSpeechRecognition)();
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recognition.lang = 'en-US'; // Set language
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recognition.interimResults = true; // Enable real-time updates
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recognition.continuous = true; // Keep listening for multiple sentences
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// Handle results
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recognition.onresult = function(event) {
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const transcript = Array.from(event.results)
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.map(result => result[0].transcript)
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.join('');
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document.getElementById("speech-input").value = transcript; // Update the input box
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};
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// Handle errors
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recognition.onerror = function(event) {
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console.error("Speech Recognition Error:", event.error);
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alert("Speech recognition error: " + event.error);
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};
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recognition.start(); // Start listening
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}
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// Attach the start function to the button click
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document.getElementById('speech-button').addEventListener('click', startSpeechRecognition);
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</script>
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""")
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# Launch the demo
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demo.launch(share=True, port= 20005)
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