Create README.md

README.md

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+import gradio as gr
+import openai
+import pyttsx3
+from dotenv import load_dotenv
+import os
+load_dotenv()
+
+openai.api_key =  os.getenv("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")
+
+messages=[
+        {"role": "system", "content": "You are a teacher"}
+    ]
+def transcribe(audio):
+    global messages
+    file = open(audio, "rb")
+    transcription = openai.Audio.transcribe("whisper-1", file)
+    print(transcription)
+    messages.append({"role": "user", "content": transcription["text"]})
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=messages
+    )
+
+    AImessage = response["choices"][0]["message"]["content"]
+    engine = pyttsx3.init()
+    engine.say(AImessage)
+    engine.runAndWait()
+    messages.append({"role": "assistant", "content": AImessage})
+    chat = ''
+    for message in messages:
+        if message["role"] != 'system':
+            chat += message["role"] + ':' + message["content"] + "\n\n"
+    return chat
+
+
+ui = gr.Interface(fn=transcribe ,inputs=gr.Audio(source='microphone',type='filepath'), outputs='text')
+
+ui.launch()