Update app.py

app.py

@@ -2,50 +2,34 @@ import os
 import subprocess
 import openai
 import gradio as gr
-import requests
 from gtts import gTTS
 
-API_URL = "https://api-inference.huggingface.co/models/lyimo/whisper-small-sw2"
-headers = {"Authorization": "Bearer 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"}
-
-openai.api_key = "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"
-
-def query(filename):
-    with open(filename, "rb") as f:
-        data = f.read()
-    response = requests.post(API_URL, headers=headers, data=data)
-    return response.json()
-
+openai.api_key = os.getenv("OPENAI_API_KEY")
 
 def transcribe(audio):
-    output = query(audio)
-    return output["text"]
+    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": "Wewe ni mtaalamu wa viazi lishe na utajibu maswali yote kwa kiswahili tu!"},
+            {"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": "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": "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": "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"
-    tts = gTTS(text, lang="sw")
+    tts = gTTS(text=text, lang='sw')
+    output_file = "tts_output.mp3"
     tts.save(output_file)
     return output_file
 
@@ -58,7 +42,7 @@ def process_audio_and_respond(audio):
 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)")],
+    [gr.outputs.Textbox(label="Jibu (kwa njia ya maandishi)"), gr.outputs.Audio(type="mp3", 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",