Update app.py

app.py

@@ -1,56 +1,58 @@
-pip install openai==0.28
 import openai
-openai.api_key="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"
+from gtts import gTTS
+import pyttsx3
+from IPython.display import Audio
+import gradio as gr
+
+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"]
+    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(
+    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."}]
+    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
+    message = response["choices"][0]["message"]["content"]
+    return message
+
 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
+    t1 = translate_audio(a)
+    t2 = text_response(t1)
+    t3 = audio_response(t2)
+    return (t1, t2, t3)
+
+import gradio as gr
+
 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',
+    title='AI Voice Assistant',
     fn=transcribe,
     inputs=[
-            gr.Audio(sources="microphone", type="filepath"),
-            ],
-
+        gr.Audio(sources="microphone", type="filepath"),
+    ],
     outputs=[
-        output_1,  output_2, output_3
-    ]).launch(share=True)
+        output_1, output_2, output_3
+    ]
+).launch(share=True)