Update app.py

app.py

@@ -9,7 +9,7 @@ lang = "en"
 
 transcribe_pipe = pipeline(
     task="automatic-speech-recognition",
-    model=model_ckpt,
+    model=transcribe_model_ckpt,
     chunk_length_s=30,
 )
 transcribe_pipe.model.config.forced_decoder_ids = transcribe_pipe.tokenizer.get_decoder_prompt_ids(language=lang, task="transcribe")
@@ -25,14 +25,14 @@ def yt_transcribe(yt_url):
     return html_embed_str, text
 
 qa_model_ckpt = "deepset/tinyroberta-squad2"
-qa_pipe = pipeline('question-answering', model=model_ckpt, tokenizer=model_ckpt)
+qa_pipe = pipeline('question-answering', model=qa_model_ckpt, tokenizer=qa_model_ckpt)
 
 def get_answer(query,context):
     QA_input = {
     'question': query,
     'context': context
     }
-    res = nlp(QA_input)["answer"]
+    res = qa_pipe(QA_input)["answer"]
     return res