Update app.py

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+import speech_recognition as sr
 from huggingface_hub import InferenceClient
 
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
@@ -35,6 +36,29 @@ def respond(
         response += token
         yield response
 
+# Voice recognition function with error handling
+def recognize_speech():
+    recognizer = sr.Recognizer()
+    with sr.Microphone() as source:
+        print("Listening...")
+        try:
+            audio = recognizer.listen(source, timeout=5)
+            print("Recognizing...")
+            text = recognizer.recognize_google(audio)
+            print(f"Recognized: {text}")
+            return text
+        except sr.WaitTimeoutError:
+            return "Error: Listening timed out."
+        except sr.UnknownValueError:
+            return "Error: Could not understand the audio."
+        except sr.RequestError:
+            return "Error: Could not request results from Google Speech Recognition service."
+
+# Gradio interface with a button to trigger voice recognition
+def get_voice_input():
+    voice_input = recognize_speech()
+    return voice_input
+
 # Define custom CSS
 custom_css = """
 /* Add your custom CSS styles here */
@@ -69,23 +93,35 @@ body {
 }
 """
 
-# Create a Gradio chat interface with custom CSS
-demo = gr.ChatInterface(
-    fn=respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a Chatbot.Your name is Evy.Your are Developed By Joe.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-    css=custom_css
-)
+# Create a Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("## Voice Recognition Chatbot")
+    
+    # Voice recognition button
+    voice_button = gr.Button("🎤 Speak").click(fn=get_voice_input)
+    
+    # Text input and Chat Interface
+    text_input = gr.Textbox(label="Your Message")
+    chatbot = gr.ChatInterface(
+        fn=respond,
+        inputs=[text_input],
+        additional_inputs=[
+            gr.Textbox(value="You are a Chatbot.Your name is Evy.Your are Developed By Joe.", label="System message"),
+            gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+            gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+            gr.Slider(
+                minimum=0.1,
+                maximum=1.0,
+                value=0.95,
+                step=0.05,
+                label="Top-p (nucleus sampling)",
+            ),
+        ],
+        css=custom_css
+    )
+    
+    # Link voice input to text input
+    voice_button.click(fn=get_voice_input, outputs=text_input)
 
 if __name__ == "__main__":
     demo.launch()