Reverse version

.gitignore

@@ -0,0 +1 @@
+rt/

app.py

@@ -1,21 +1,19 @@
 import gradio as gr
-from openai import OpenAI
+import openai
 import threading as th
-import os
 
-os.environ['OPENAI_API_KEY']="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"
-client = OpenAI(api_key=os.environ['OPENAI_API_KEY'])
 
+openai.api_key  = "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"
 
 def translateoutput(text,language):
-    completion = client.chat.completions.create(
+    completion = openai.ChatCompletion.create(
     model="gpt-3.5-turbo",
     messages=[
     {"role": "system", "content": f"You will be provided with a sentence in English, and your task is to translate it into {language}."},
     {"role": "user", "content":text}
   ]
 )
-    return completion.choices[0].message.content
+    return completion.choices[0]['message']['content']
     
 
 # Initialize a global variable to hold previous output
@@ -83,29 +81,29 @@ language_info={
         
 def translate(audio_file,lan):
     message=""
-    au=open(audio_file, 'rb')
-    result = client.audio.translations.create(file=au,model="whisper-1")
-    text=result.text
-    # translation_text += text
-    if lan=="English" or lan=="Other" or text=="":
-        message=text
-    else:
-
-        text=translateoutput(text,lan)
-        message=text
+    with open(audio_file, 'rb') as f:
+        result = openai.Audio.translate("whisper-1", f)
+        text=result.text
+        # translation_text += text
+        if lan=="English" or lan=="Other" or text=="":
+            message=text
+        else:
+
+            text=translateoutput(text,lan)
+            message=text
     th.current_thread().return_value=message
 
     
 
 def transcription(audio_file,input_lang):
     global language_info
-    au=open(audio_file, 'rb')
-    if input_lang=="Other":
-        result = client.audio.transcriptions.create(file=au,model="whisper-1")
-        th.current_thread().return_value=result.text
-    else:
-        result = client.audio.transcriptions.create(file=au,model="whisper-1",language=language_info[input_lang])
-        th.current_thread().return_value=result.text
+    with open(audio_file, 'rb') as f:
+        if input_lang=="Other":
+            result = openai.Audio.transcribe("whisper-1", f)
+            th.current_thread().return_value=result.text
+        else:
+            result = openai.Audio.transcribe("whisper-1", f,language=language_info[input_lang])
+            th.current_thread().return_value=result.text
 
     
 
@@ -136,7 +134,7 @@ def gpt_api(text):
         return ""
     if len(text)>2000:
         text=text[-2000:]
-    completion = client.chat.completions.create(
+    completion = openai.ChatCompletion.create(
     model="gpt-3.5-turbo",
     messages=[
     {"role": "system", "content": "your task is to make a concise summery of text in the same language used in given text"},
@@ -144,7 +142,7 @@ def gpt_api(text):
 ]
 )
     
-    message=completion.choices[0].message.content
+    message=completion.choices[0]['message']['content']
     th.current_thread().return_value=message
 
 

requirements.txt

@@ -37,7 +37,7 @@ matplotlib==3.8.1
 mdurl==0.1.2
 multidict==6.0.4
 numpy==1.26.1
-openai==1.2.0
+openai==0.28.1
 orjson==3.9.10
 packaging==23.2
 pandas==2.1.2