update gpt model

app.py

@@ -25,7 +25,7 @@ import tiktoken
 
 usemodelname='gpt-4-0125-preview'
 
-def call_openai_api(openaiobj,transcription):
+def call_openai_api(openaiobj,transcription,usemodelname):
 
     response = openaiobj.chat.completions.create(
         #model="gpt-3.5-turbo",
@@ -61,7 +61,7 @@ def call_openai_summary(openaiobj,transcription):
         ]
     )
     return response.choices[0].message.content
-def call_openai_summaryall(openaiobj,transcription):
+def call_openai_summaryall(openaiobj,transcription,usemodelname):
 
     response = openaiobj.chat.completions.create(
         #model="gpt-3.5-turbo",
@@ -92,7 +92,7 @@ def split_into_chunks(text, tokens=15900):
         chunks.append(' '.join(encoding.decode(words[i:i + tokens])))
     return chunks
 
-def process_chunks(openaikeystr,inputtext):
+def process_chunks(openaikeystr,inputtext,LLMmodel):
     # openaiobj = OpenAI(
     # # This is the default and can be omitted
 
@@ -115,14 +115,14 @@ def process_chunks(openaikeystr,inputtext):
         
         for chunk in chunks:
       
-          response=response+'第' +str(i)+'段\n'+call_openai_api(openaiobj,chunk)+'\n\n'
+          response=response+'第' +str(i)+'段\n'+call_openai_api(openaiobj,chunk,LLMmodel)+'\n\n'
           i=i+1
-        finalresponse=response+'\n\n 這是根據以上分段會議紀錄彙編如下 \n\n' +call_openai_api(openaiobj,response)
+        finalresponse=response+'\n\n 這是根據以上分段會議紀錄彙編如下 \n\n' +call_openai_api(openaiobj,response,LLMmodel)
       # response=response+call_openai_summary(openaiobj,chunk)
 
         
     else:
-        finalresponse=call_openai_api(openaiobj,chunk[0])
+        finalresponse=call_openai_api(openaiobj,chunk[0],LLMmodel)
     return finalresponse
     # # Processes chunks in parallel
     # with ThreadPoolExecutor() as executor:
@@ -234,7 +234,7 @@ file_transcribe = gr.Interface(
     allow_flagging="never",
 )
 import google.generativeai as genai
-def gpt4write(openaikeystr,transcribe_text):
+def gpt4write(openaikeystr,transcribe_text,LLMmodel):
         # openaiobj = OpenAI(
     # # This is the default and can be omitted
 
@@ -247,13 +247,13 @@ def gpt4write(openaikeystr,transcribe_text):
 
     #openaiojb =OpenAI(base_url="http://localhost:1234/v1", api_key="not-needed")
     openaiobj =OpenAI( api_key=realkey)
-    text = inputtext
+    #text = inputtext
     #openaikey.set_key(openaikeystr)
     #print('process_chunk',openaikey.get_key())
     #chunks = split_into_chunks(text)
     #response='這是分段會議紀錄結果\n\n'
       
-    finalresponse=call_openai_api(openaiobj,transcribe_text)
+    finalresponse=call_openai_api(openaiobj,transcribe_text,LLMmodel)
       # response=response+call_openai_summary(openaiobj,chunk)
     return finalresponse
 
@@ -274,9 +274,9 @@ def writenotes( LLMmodel,apikeystr,inputscript):
   if len(inputscript)>10: #有資料表示不是來自語音辨識結果
       transcribe_text=inputscript
   if LLMmodel=="gpt-3.5-turbo": 
-      ainotestext=process_chunks(apikeystr,transcribe_text)
+      ainotestext=process_chunks(apikeystr,transcribe_text,LLMmodel)
   elif LLMmodel=="gpt-4-0125-preview": 
-      ainotestext=gpt4write(apikeystr,transcribe_text)
+      ainotestext=gpt4write(apikeystr,transcribe_text,LLMmodel)
   elif LLMmodel=='gemini':
       ainotestext=gewritenote(inputscript)
 
@@ -294,7 +294,7 @@ def writenotes( LLMmodel,apikeystr,inputscript):
   return ainotestext
 ainotes = gr.Interface(
     fn=writenotes,
-    inputs=[ gr.inputs.Radio(["gpt-3.5-turbo", "gpt-4-0125-preview","gemini"], label="LLMmodel", default="gpt-3.5-turbo"),gr.Textbox(label="使用GPT請輸入OPEN AI API KEY",placeholder="請輸入sk..."),gr.Textbox(label="逐字稿",placeholder="若沒有做語音辨識，請輸入逐字稿")],
+    inputs=[ gr.inputs.Radio(["gemini","gpt-3.5-turbo", "gpt-4-0125-preview"], label="LLMmodel", default="gemini"),gr.Textbox(label="使用GPT請輸入OPEN AI API KEY",placeholder="請輸入sk..."),gr.Textbox(label="逐字稿",placeholder="若沒有做語音辨識，請輸入逐字稿")],
     outputs="text",
     layout="horizontal",
     theme="huggingface",