Update app.py

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import torch
+from icon import generate_icon
 from transformers import pipeline
 from timestamp import format_timestamp
 
@@ -27,7 +28,7 @@ def transcribe(file, task, return_timestamps):
       timestamps = [f"{chunk['text']}" for chunk in timestamps]
 
     text = "<br>".join(str(feature) for feature in timestamps)
-    text = f"<h4>Transcription</h4><div style='overflow-y: scroll; height: 400px;'>{text}</div>"
+    text = f"<h4>Transcription</h4><div style='overflow-y: scroll; height: 250px;'>{text}</div>"
     return file, text
 
 
@@ -40,14 +41,27 @@ outputs = [gr.Audio(label="Processed Audio", type="filepath"),
 
 title = "Whisper Demo: Transcribe Audio"
 
-description = ("Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
-        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
-        " of arbitrary length.")
+MODEL_NAME1 = "jpdiazpardo/whisper-tiny-metal"
 
+description = ("Transcribe long-form audio inputs with the click of a button! Demo uses the"
+        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
+        " of arbitrary length. Check some of the 'cool' examples below")
 
 examples = [["When a Demon Defiles a Witch.wav","transcribe",True]]
 
-demo = gr.Interface(fn=transcribe, inputs = inputs, outputs = outputs, description=description, cache_examples=True, allow_flagging="never", examples=examples)
+
+linkedin = generate_icon("linkedin")
+github = generate_icon("github")
+
+article = ("<div style='text-align: center; max-width:800px; margin:10px auto;'>"
+            f"<p>{linkedin} <a href='https://www.linkedin.com/in/juanpablodiazp/' target='_blank'>Juan Pablo Díaz Pardo</a><br>"
+            f"{github} <a href='https://github.com/jpdiazpardo' target='_blank'>jpdiazpardo</a></p>"
+          )
+
+title = "Scream: Fine-Tuned Whisper model for automatic gutural speech recognition 🤟🤟🤟"
+
+demo = gr.Interface(title = title, fn=transcribe, inputs = inputs, outputs = outputs, description=description, cache_examples=True, 
+                    allow_flagging="never", article = article , examples=examples)
 
 demo.queue(concurrency_count=3)
 demo.launch(debug = True)