Update app.py

app.py

@@ -1,63 +1,68 @@
 import streamlit as st
 from audio_recorder_streamlit import audio_recorder
-import openai  # Corrected import
+import openai
 
-API_KEY = 'enter-openai-api-key-here'
+# Prompt the user to input their OpenAI API key
+API_KEY = st.text_input("Enter your OpenAI API Key", type="password")
 
-# Set the API key
-openai.api_key = API_KEY
+# Check if the API key is provided
+if API_KEY:
+    openai.api_key = API_KEY  # Set the API key
 
-def transcribe_text_to_voice(audio_location):
-    # Transcribe audio to text using Whisper API
-    with open(audio_location, "rb") as audio_file:
-        transcript = openai.Audio.transcriptions.create(
-            model="whisper-1", file=audio_file
+    def transcribe_text_to_voice(audio_location):
+        # Transcribe audio to text using Whisper API
+        with open(audio_location, "rb") as audio_file:
+            transcript = openai.Audio.transcriptions.create(
+                model="whisper-1", file=audio_file
+            )
+        return transcript['text']
+
+    def chat_completion_call(text):
+        # Send the text to GPT-3.5 for chat completion
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo-1106", 
+            messages=[{"role": "user", "content": text}]
+        )
+        return response['choices'][0]['message']['content']
+
+    def text_to_speech_ai(speech_file_path, api_response):
+        # Convert the text to speech using OpenAI's TTS API
+        response = openai.Audio.speech.create(
+            model="text-to-speech-1",  # TTS model name may differ
+            voice="nova",  # Specify a voice (choose one that is available)
+            input=api_response
         )
-    return transcript['text']
-
-def chat_completion_call(text):
-    # Send the text to GPT-3.5 for chat completion
-    response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo-1106", 
-        messages=[{"role": "user", "content": text}]
-    )
-    return response['choices'][0]['message']['content']
-
-def text_to_speech_ai(speech_file_path, api_response):
-    # Convert the text to speech using OpenAI's TTS API
-    response = openai.Audio.speech.create(
-        model="text-to-speech-1",  # TTS model name may differ
-        voice="nova",  # Specify a voice (choose one that is available)
-        input=api_response
-    )
-    # Save the speech response to a file
-    with open(speech_file_path, "wb") as f:
-        f.write(response['audio'])
-
-st.title("🧑‍💻 Skolo Online 💬 Talking Assistant")
-
-"""
-Hi🤖 just click on the voice recorder and let me know how I can help you today?
-"""
-
-audio_bytes = audio_recorder()
-if audio_bytes:
-    # Save the Recorded Audio File
-    audio_location = "audio_file.wav"
-    with open(audio_location, "wb") as f:
-        f.write(audio_bytes)
-
-    # Transcribe the saved file to text
-    text = transcribe_text_to_voice(audio_location)
-    st.write(text)
-
-    # Get AI response from GPT-3.5
-    api_response = chat_completion_call(text)
-    st.write(api_response)
-
-    # Convert the response to speech and save it as a file
-    speech_file_path = 'audio_response.mp3'
-    text_to_speech_ai(speech_file_path, api_response)
-
-    # Play the audio response in the app
-    st.audio(speech_file_path)
+        # Save the speech response to a file
+        with open(speech_file_path, "wb") as f:
+            f.write(response['audio'])
+
+    # Streamlit interface for voice assistant
+    st.title("🧑‍💻 Skolo Online 💬 Talking Assistant")
+    """
+    Hi🤖 just click on the voice recorder and let me know how I can help you today?
+    """
+
+    audio_bytes = audio_recorder()
+    if audio_bytes:
+        # Save the Recorded Audio File
+        audio_location = "audio_file.wav"
+        with open(audio_location, "wb") as f:
+            f.write(audio_bytes)
+
+        # Transcribe the saved file to text
+        text = transcribe_text_to_voice(audio_location)
+        st.write("You said:", text)
+
+        # Get AI response from GPT-3.5
+        api_response = chat_completion_call(text)
+        st.write("AI says:", api_response)
+
+        # Convert the response to speech and save it as a file
+        speech_file_path = 'audio_response.mp3'
+        text_to_speech_ai(speech_file_path, api_response)
+
+        # Play the audio response in the app
+        st.audio(speech_file_path)
+
+else:
+    st.warning("Please enter your OpenAI API key to continue.")