Create app.py

app.py

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+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()