Create app.py

app.py

@@ -0,0 +1,75 @@
+from pathlib import Path
+
+import streamlit as st
+from audiorecorder import audiorecorder
+from openai import OpenAI
+
+open_ai = OpenAI(
+    api_key="sk-dW5stjNmgnwJb00p-Hk-oQCwGhHPNMoT9Nrx4yQvH4T3BlbkFJgoCDc7RdDufCuXRQNCpcq_m4oUswu217zkojwaxw4A")
+
+st.set_page_config(
+    layout="centered",
+    page_icon="🤖",
+    page_title="Voice Chat"
+)
+
+st.title("Voice Chat")
+
+if 'chat' not in st.session_state:
+    st.session_state.chat = []
+
+
+def recordAudio():
+    audio = audiorecorder("Click to record", "Click to stop recording")
+    if len(audio) > 0:
+        audio.export("audio.wav", format="wav")
+        userPrompt = speechToText()
+        st.text(userPrompt)
+        st.session_state.chat.append({
+            'role': 'user',
+            'content': userPrompt
+        })
+
+        answer = getAnswer(userPrompt)
+        st.session_state.chat.append({
+            'role': 'assistant',
+            'content': answer
+        })
+        textToSpeech(answer)
+        st.audio("reply.wav", autoplay=True)
+
+
+def speechToText():
+    audio_file = open("audio.wav", "rb")
+    transcription = open_ai.audio.transcriptions.create(
+        model="whisper-1",
+        file=audio_file
+    )
+    return transcription.text
+
+
+def textToSpeech(text):
+    speech_file_path = Path(__file__).parent / "reply.wav"
+    response = open_ai.audio.speech.create(
+        model="tts-1",
+        voice="alloy",
+        input=text
+    )
+
+    response.stream_to_file(speech_file_path)
+
+
+def getAnswer(question):
+    response = open_ai.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=[
+            {"role": "system", "content": "You are a helpful assistant who can uderstand native urdu andwho provide very very short response in urdu"},
+            *st.session_state.chat,
+            {"role": "user", "content": question}
+        ]
+    )
+
+    return response.choices[0].message.content
+
+
+recordAudio()