File size: 2,580 Bytes
a40ce12 e6c4009 c827f71 e6c4009 49db081 a4cdc2d 49db081 a4cdc2d c827f71 49db081 e6c4009 c827f71 49db081 0891289 49db081 d8b117a c827f71 49db081 c827f71 49db081 c827f71 a40ce12 49db081 a40ce12 49db081 83bc327 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
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()
|