Update app.py

app.py

@@ -1,5 +1,7 @@
 import gradio as gr
 from transformers import pipeline
+import whisper
+ 
 
 title = "Zero-Shot Text Classification with Hugging Face"
 description = "bart-large-mnli"
@@ -7,6 +9,18 @@ description = "bart-large-mnli"
 classifier = pipeline("zero-shot-classification",
                       model="facebook/bart-large-mnli")
 
+# whisper model specification
+asr_model = whisper.load_model("tiny")
+
+openai.api_key = os.environ["Openai_APIkey"]
+
+    
+# Transcribe function
+def transcribe(audio_file):
+    print("Transcribing")
+    transcription = asr_model.transcribe(audio_file)["text"]
+    return transcription
+
 #define a function to process your input and output
 def zero_shot(doc, candidates):
     given_labels = candidates.split(", ")