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Update app.py
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app.py
CHANGED
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import gradio as gr
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from openai import OpenAI
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system_prompt = """
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You are a voice bot representing Krishnavamshi Thumma. When responding to questions, answer as if you are:
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- A Generative AI and Data Engineering enthusiast with 1.5+ years of experience
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- Currently working as a Data Engineer at Wishkarma in Hyderabad
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- Previously worked as a Data Engineer Intern at DeepThought
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- Skilled in Python, SQL, JavaScript, OpenAI GPT-4o, LangChain, etc.
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- A Computer Science graduate from Neil Gogte Institute of Technology
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Answer questions about your background professionally but engagingly (2-3 sentences max).
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"""
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def chat_with_openai(user_input, history, api_key):
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if not api_key:
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try:
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client = OpenAI(api_key=api_key)
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# Build messages from history
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messages = [{"role": "system", "content": system_prompt}]
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for entry in history:
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@@ -31,17 +31,16 @@ def chat_with_openai(user_input, history, api_key):
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messages=messages,
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temperature=0.7
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)
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bot_reply = response.choices[0].message.content
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history.append((user_input, bot_reply))
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return history,
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except Exception as e:
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with gr.Blocks(title="Voice Bot: Krishnavamshi Thumma") as demo:
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gr.Markdown("## ποΈ Krishnavamshi Thumma - Voice Assistant")
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# Add custom CSS
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gr.HTML("""
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<style>
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@@ -94,37 +93,90 @@ with gr.Blocks(title="Voice Bot: Krishnavamshi Thumma") as demo:
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}
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</style>
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""")
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api_key = gr.Textbox(label="π OpenAI API Key", type="password", elem_id="apiKeyInput")
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key_status = gr.HTML("<div id='keyStatus'></div>")
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chatbot = gr.Chatbot(elem_id="chatBox", type="messages")
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state = gr.State([])
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#
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mic_btn = gr.Button("π€ Click & Speak", elem_id="micButton")
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clear_btn = gr.Button("ποΈ Clear Chat")
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# Event handlers
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)
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# JavaScript functions
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gr.HTML("""
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<script>
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const recognition = new (window.SpeechRecognition || window.webkitSpeechRecognition)();
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recognition.continuous = false;
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recognition.lang = "en-US";
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document.getElementById("apiKeyInput").addEventListener("input", function() {
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const apiKey = this.value.trim();
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const keyStatus = document.getElementById("keyStatus");
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const micButton = document.getElementById("micButton");
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if (apiKey) {
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keyStatus.innerHTML = '<div class="key-status success">API Key saved successfully!</div>';
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micButton.disabled = false;
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@@ -133,46 +185,17 @@ with gr.Blocks(title="Voice Bot: Krishnavamshi Thumma") as demo:
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micButton.disabled = true;
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}
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});
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return;
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}
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this.textContent = "π΄ Listening...";
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recognition.start();
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});
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recognition.onresult = function(event) {
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const transcript = event.results[0][0].transcript;
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document.querySelector("#voiceInput input").value = transcript;
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document.querySelector("#voiceInput input").dispatchEvent(new Event("change"));
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};
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recognition.onend = function() {
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document.getElementById("micButton").textContent = "π€ Click & Speak";
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};
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recognition.onerror = function(event) {
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console.error("Speech recognition error", event.error);
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document.getElementById("micButton").textContent = "π€ Click & Speak";
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alert("Speech recognition error: " + event.error);
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};
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// Auto-scroll chat
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function scrollChat() {
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const chatBox = document.getElementById("chatBox");
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chatBox.scrollTop = chatBox.scrollHeight;
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}
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// Initial setup
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document.getElementById("micButton").disabled = true;
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document.querySelector("#apiKeyInput input").focus();
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</script>
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""")
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clear_btn.click(lambda: ([], []), None, [chatbot, state])
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demo.launch()
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import gradio as gr
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from openai import OpenAI
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system_prompt = """You are a voice bot representing Krishnavamshi Thumma. When responding to questions, answer as if you are:
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- A Generative AI and Data Engineering enthusiast with 1.5+ years of experience
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- Currently working as a Data Engineer at Wishkarma in Hyderabad
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- Previously worked as a Data Engineer Intern at DeepThought
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- Skilled in Python, SQL, JavaScript, OpenAI GPT-4o, LangChain, etc.
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- A Computer Science graduate from Neil Gogte Institute of Technology
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Answer questions about your background professionally but engagingly (2-3 sentences max)."""
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def chat_with_openai(user_input, history, api_key):
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if not api_key:
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# Instead of returning history and an error string,
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# Gradio handles errors better when raised as exceptions
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raise gr.Error("β Please enter your OpenAI API key.")
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try:
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client = OpenAI(api_key=api_key)
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# Build messages from history
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messages = [{"role": "system", "content": system_prompt}]
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for entry in history:
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messages=messages,
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temperature=0.7
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)
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bot_reply = response.choices[0].message.content
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history.append((user_input, bot_reply))
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return history, "" # Clear the input text box after processing
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except Exception as e:
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raise gr.Error(f"β Error: {str(e)}")
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with gr.Blocks(title="Voice Bot: Krishnavamshi Thumma") as demo:
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gr.Markdown("## ποΈ Krishnavamshi Thumma - Voice Assistant")
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+
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# Add custom CSS
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gr.HTML("""
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<style>
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}
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</style>
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""")
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api_key = gr.Textbox(label="π OpenAI API Key", type="password", elem_id="apiKeyInput")
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key_status = gr.HTML("<div id='keyStatus'></div>")
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chatbot = gr.Chatbot(elem_id="chatBox", type="messages", height=400) # Added height for better display
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state = gr.State([])
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# This textbox will be the one that takes the speech-to-text output
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# and directly triggers the chat_with_openai function.
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# It will remain hidden from the user.
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text_input_for_voice = gr.Textbox(label="Voice Input Text", visible=False)
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mic_btn = gr.Button("π€ Click & Speak", elem_id="micButton")
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clear_btn = gr.Button("ποΈ Clear Chat")
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# Event handlers
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# The chat_with_openai function will now be triggered by the text_input_for_voice.submit()
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# or by its change event, which will be manually triggered by the JavaScript.
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text_input_for_voice.submit(
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chat_with_openai,
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[text_input_for_voice, state, api_key],
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[chatbot, state, text_input_for_voice] # Also clear the voice input textbox after submission
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)
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# JavaScript functions
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# Using Gradio's _js to integrate JavaScript with Python components directly
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mic_btn.click(
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None,
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inputs=[api_key],
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outputs=[mic_btn],
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_js="""
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(api_key) => {
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if (!api_key) {
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alert("Please enter your OpenAI API key first!");
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return [gr.Button.update(interactive=true)]; // Keep button enabled if no key
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}
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const recognition = new (window.SpeechRecognition || window.webkitSpeechRecognition)();
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recognition.continuous = false;
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recognition.lang = "en-US";
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const micButton = document.getElementById("micButton");
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micButton.textContent = "π΄ Listening...";
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micButton.disabled = true; // Disable while listening
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recognition.onresult = function(event) {
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const transcript = event.results[0][0].transcript;
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// Directly set the value of the hidden text_input_for_voice and trigger its submit event
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// Gradio's internal JS will handle the connection to the Python backend function
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const voiceInputTextbox = document.querySelector('#voice_input_for_voice input'); // Correctly select the hidden input field
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if (voiceInputTextbox) {
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voiceInputTextbox.value = transcript;
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// Trigger the 'input' event which Gradio uses for its change/submit events
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voiceInputTextbox.dispatchEvent(new Event('input', { bubbles: true }));
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}
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};
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recognition.onend = function() {
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micButton.textContent = "π€ Click & Speak";
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micButton.disabled = false; // Re-enable after listening ends
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};
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recognition.onerror = function(event) {
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console.error("Speech recognition error", event.error);
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micButton.textContent = "π€ Click & Speak";
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micButton.disabled = false; // Re-enable on error
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alert("Speech recognition error: " + event.error);
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};
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recognition.start();
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return [gr.Button.update(interactive=false)]; // Disable button visually when started
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}
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"""
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)
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# JavaScript for API key input and status
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gr.HTML("""
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<script>
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document.getElementById("apiKeyInput").addEventListener("input", function() {
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const apiKey = this.value.trim();
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const keyStatus = document.getElementById("keyStatus");
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const micButton = document.getElementById("micButton");
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if (apiKey) {
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keyStatus.innerHTML = '<div class="key-status success">API Key saved successfully!</div>';
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micButton.disabled = false;
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micButton.disabled = true;
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}
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});
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// Auto-scroll chat - this should be triggered whenever chatbot updates
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// However, Gradio's Chatbot often handles auto-scrolling itself.
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// If not, you might need a more sophisticated way to observe changes.
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// Initial setup
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document.getElementById("micButton").disabled = true;
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document.querySelector("#apiKeyInput input").focus();
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</script>
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""")
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clear_btn.click(lambda: ([], []), None, [chatbot, state])
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demo.launch()
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