Create app.py

app.py

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+pip install openai==0.28
+import openai
+openai.api_key="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"
+def translate_audio(audio_file):
+  file1=open(audio_file,"rb")
+  text = openai.Audio.translate(
+      model="whisper-1",
+      file= file1
+  )
+  return text["text"]
+def text_response(t):
+  messages = [{"role": "system", "content": "You are a therapist,you are supposed to answer questions related to stress, mental health.For the rest of the questions, respond you don't know. Respond to all input in 100 words or less."}]
+  #document1="http://www.smchealth.org/sites/main/files/file-attachments/bhrsdocmanual.pdf"
+  #messages.append({"role":"user","content":document1})
+  #doc2="https://www.cms.gov/medicare-medicaid-coordination/fraud-prevention/medicaid-integrity-education/downloads/docmatters-behavioralhealth-factsheet.pdf"
+  #messages.append({"role":"user","content":doc2})
+  messages.append({"role": "user", "content": t})
+  response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=messages
+    )
+  message = response["choices"][0]["message"]["content"]
+  return message
+!pip install gtts
+from gtts import gTTS
+pip install gtts --upgrade
+pip install pyttsx3
+import pyttsx3
+!apt-get install espeak
+def audio_response(t):
+    tts = gTTS(text=t, lang='en', slow=False)
+    tts.save("output.mp3")
+    mp3_file_path = "output.mp3"
+    return mp3_file_path
+pip install IPython
+from IPython.display import Audio
+def transcribe(a):
+  t1 = translate_audio(a)
+  t2= text_response(t1)
+  t3= audio_response(t2)
+  return (t1,t2,t3)
+pip install gradio
+output_1 = gr.Textbox(label="Speech to Text")
+output_2 = gr.Textbox(label="ChatGPT Output")
+output_3 = gr.Audio(label="ChatGPT output to audio")
+
+gr.Interface(
+    title = 'AI Voice Assistant',
+    fn=transcribe,
+    inputs=[
+            gr.Audio(sources="microphone", type="filepath"),
+            ],
+
+    outputs=[
+        output_1,  output_2, output_3
+    ]).launch(share=True)