Update app.py

app.py

@@ -1,8 +1,36 @@
-
+import whisper
 import gradio as gr
+from transformers import pipeline
+
+
+model = whisper.load_model("base")
+sentiment_analysis = pipeline("sentiment-analysis",model="siebert/sentiment-roberta-large-english")
+
+def process_audio_file(file):
+    with open(file, "rb") as f:
+        inputs = f.read()
+
+    audio = ffmpeg_read(inputs, sampling_rate)
+    return audio
+
+
+def transcribe(Microphone, File_Upload):
+    warn_output = ""
+    if (Microphone is not None) and (File_Upload is not None):
+        warn_output = "WARNING: You've uploaded an audio file and used the microphone. " \
+                      "The recorded file from the microphone will be used and the uploaded audio will be discarded.\n"
+        file = Microphone
+
+    elif (Microphone is None) and (File_Upload is None):
+        return "ERROR: You have to either use the microphone or upload an audio file"
+
+    elif Microphone is not None:
+        file = Microphone
+    else:
+        file = File_Upload
 
-def transcribe():
-    pass
+    result = model.transcribe(file, task="translate")
+    return sentiment_analysis(result['text'])
 
 iface = gr.Interface(
     fn=transcribe,