app.py

import os
import subprocess
import openai
import gradio as gr


import os

openai.api_key = os.getenv("OPENAI_API_KEY")


def transcribe(audio):
   with open(audio, "rb") as audio_file:
       transcript = openai.Audio.transcribe("whisper-1", audio_file)
   return transcript["text"]


def generate_response(transcribed_text):
   response = openai.ChatCompletion.create(
       model="gpt-3.5-turbo",
       messages=[
           {"role": "system", "content": " All your answers should be in swahili only, users undertands swahili only so here we start... Wewe ni mtaalamu wa viazi lishe na utajibu maswali yote kwa kiswahili tu!"},
           {"role": "user", "content": "Mambo vipi?"},
           {"role": "assistant", "content": """Salama je una swali lolote kuhusu viazi lishe?"""},
           {"role": "user", "content": "nini maana ya Viazi lishe?"},
           {"role": "assistant", "content": """ viazi lishe ni Viazi vitamu vyenye rangi ya karoti kwa ndani ambavyo vina vitamin A kwa wingi"""},
           {"role": "user", "content": "nini matumizi ya viazi lishe?"},
           {"role": "assistant", "content": """ viazi lishe vinaweza kutengenezea chakula kama Keki,
           Maandazi, Kalimati na tambi: Ukisaga unga wa viazi lishe,
           unaweza kutumika kupika vyakula ambavyo huwa watu
           hutumia unga wa ngano kupika, unga wa viazi lishe una
           virutubisho vingi zaidi kuliko unga wa ngano na
           ukitumika kupikia vyakula tajwa hapo juu watumiaji
           watakuwa wanakula vyakula vyenye virutubisho Zaidi."""},
           {"role": "user", "content": transcribed_text},
       ]
   )
   return response['choices'][0]['message']['content']


def inference(text):
   output_file = "tts_output.wav"
   cmd = ['tts', '--text', text, '--out_path', output_file]
   subprocess.run(cmd, check=True)
   return output_file


def process_audio_and_respond(audio):
   text = transcribe(audio)
   response_text = generate_response(text)
   output_file = inference(response_text)
   return response_text, output_file


demo = gr.Interface(
   process_audio_and_respond,
   gr.inputs.Audio(source="microphone", type="filepath", label="Bonyeza kitufe cha kurekodi na uliza swali lako"),
   [gr.outputs.Textbox(label="Jibu (kwa njia ya maandishi)"), gr.outputs.Audio(type="filepath", label="Jibu kwa njia ya sauti (Bofya kusikiliza Jibu)")],
   title="Mtaalamu wa Viazi Lishe",
   description="Uliza Mtaalamu wetu swali lolote Kuhusu viazi Lishe",
   theme="compact",
   layout="vertical",
   allow_flagging=False,
   live=True,
)


demo.launch()