Update app.py

app.py

@@ -1,35 +1,27 @@
 import gradio as gr
-from utils.stt import speech_to_text
-from utils.nlp import process_query
-from utils.tts import text_to_speech
+import speech_recognition as sr
 
-# Load intents and other configurations
-import json
-with open("intents.json", "r") as f:
-    intents = json.load(f)
+def booking_agent(input_text):
+    # Example placeholder for hotel booking logic
+    return f"Hotel booked successfully for: {input_text}"
 
-def voice_agent(audio):
-    # Step 1: Convert speech to text
-    query = speech_to_text(audio)
+def voice_booking(audio):
+    recognizer = sr.Recognizer()
+    with sr.AudioFile(audio.name) as source:
+        audio_data = recognizer.record(source)
+        try:
+            text = recognizer.recognize_google(audio_data)
+            return booking_agent(text)
+        except sr.UnknownValueError:
+            return "Sorry, could not understand the audio."
 
-    # Step 2: Process the query and get a response
-    response = process_query(query, intents)
-
-    # Step 3: Convert the response to speech
-    audio_response = text_to_speech(response)
-
-    return response, audio_response
-
-# Gradio interface
-interface = gr.Interface(
-    fn=voice_agent,
-    inputs=gr.Audio(type="filepath"),
-    outputs=[
-        gr.Textbox(label="Agent Response"),
-        gr.Audio(label="Voice Response")
-    ],
-    title="Hotel Booking Voice Agent"
+# Gradio Interface
+iface = gr.Interface(
+    fn=voice_booking,
+    inputs=gr.inputs.Audio(),
+    outputs="text",
+    title="Hotel Booking Chatbot",
+    description="Use voice or text to book a hotel",
 )
 
-if __name__ == "__main__":
-    interface.launch()
+iface.launch()