add more example test cases

app.py

@@ -1,25 +1,15 @@
 import gradio as gr
 import requests
-# from transcribe import transcribe
+
+from transcribe import transcribe
 from sentiment_analysis import sentiment_analyser
 from summary import summarizer
 from topic import topic_gen
-from data import data
-
-def transcribe2():
-  response = requests.post("https://dwarkesh-whisper-speaker-recognition.hf.space/run/predict", json={
-    "data": [
-      {"name":"audio.wav","data":"data:audio/wav;base64,UklGRiQAAABXQVZFZm10IBAAAAABAAEARKwAAIhYAQACABAAZGF0YQAAAAA="},
-      2,
-  ]}).json()
 
-  data = response["data"]
 
 def main(audio_file, number_of_speakers):
   # Audio to Text Converter
-  # text_data = transcribe(audio_file, number_of_speakers)
-  # print(text_data)
-  text_data = data
+  text_data = transcribe(audio_file, number_of_speakers)
   topic = topic_gen(text_data)[0]["generated_text"]
   summary = summarizer(text_data)[0]["summary_text"]
   sent_analy = sentiment_analyser(text_data)
@@ -28,7 +18,11 @@ def main(audio_file, number_of_speakers):
 
 # UI Interface on the Hugging Face Page
 with gr.Blocks() as demo:
-  gr.Markdown("# Shravan - Unlocking Value from Call Data")
+  gr.Markdown("""
+  # Shravan - Unlocking Value from Call Data
+
+  > **NOTE:** You need to give a `.wav` audio file and the audio file should be `monochannel`.
+  """)
   with gr.Box():
     with gr.Row():
       with gr.Column():
@@ -46,6 +40,8 @@ with gr.Blocks() as demo:
     gr.Examples( 
       examples=[
         ["./examples/sample4.wav", 2],
+        ["./examples/monopos.wav", 2],
+        ["./examples/mononeg.wav", 2],
       ],
       inputs=[audio_file, number_of_speakers],
       outputs=[topic, summary, sentiment_analysis],

examples/mononeg.wav

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48ff84445d6358625065758ff2911259481b66151c054b712e752a6aa02f2f21
+size 2939982

examples/monopos.wav

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ebd054310c0b00ea193bc2dba688a95abccb236fd477df51fd0fd277c15748cf
+size 3787854