Create app.py

app.py

@@ -0,0 +1,55 @@
+import gradio as gr
+import pyttsx3
+import speech_recognition as sr
+from transformers import pipeline
+
+# Initialize Text-to-Speech engine
+engine = pyttsx3.init()
+engine.setProperty('rate', 150)
+
+# Load a conversational AI model
+chatbot = pipeline("conversational", model="microsoft/DialoGPT-medium")
+
+def tts_response(user_query):
+    """Generate AI response, convert to speech, and return text."""
+    try:
+        response = chatbot(user_query)
+        bot_reply = response[0]['generated_text']
+        engine.say(bot_reply)
+        engine.runAndWait()
+        return bot_reply
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+def stt_to_tts(audio):
+    """Convert speech to text, process with AI, then convert response to speech."""
+    recognizer = sr.Recognizer()
+    try:
+        with sr.AudioFile(audio) as source:
+            audio_data = recognizer.record(source)
+            user_query = recognizer.recognize_google(audio_data)
+            return tts_response(user_query)
+    except sr.UnknownValueError:
+        return "Sorry, I could not understand the audio."
+    except sr.RequestError as e:
+        return f"Request error from Speech Recognition service; {e}"
+
+# Gradio interface
+def gradio_ui():
+    with gr.Blocks() as app:
+        gr.Markdown("## AI Voice Agent")
+        with gr.Tab("Text-to-Speech"):
+            user_query = gr.Textbox(label="Your Query")
+            response = gr.Textbox(label="AI Response", interactive=False)
+            submit_button = gr.Button("Submit")
+            submit_button.click(tts_response, inputs=user_query, outputs=response)
+        with gr.Tab("Speech-to-Speech"):
+            audio_input = gr.Audio(source="microphone", type="filepath", label="Speak Now")
+            audio_response = gr.Textbox(label="AI Response")
+            audio_button = gr.Button("Submit")
+            audio_button.click(stt_to_tts, inputs=audio_input, outputs=audio_response)
+    return app
+
+if __name__ == "__main__":
+    app = gradio_ui()
+    app.launch()