Update app.py

app.py

@@ -1,22 +1,78 @@
+import os
+os.system('/usr/local/bin/python -m pip install --upgrade pip')
+os.system("pip install git+https://github.com/openai/whisper.git")
+os.system("pip install gradio --upgrade")
 import gradio as gr
 import whisper
 
-# Cargar el modelo Whisper
+from share_btn import community_icon_html, loading_icon_html, share_js
+
 model = whisper.load_model("small")
 
+
+        
 def inference(audio):
-    result = model.transcribe(audio)
-    return result["text"]
+    audio = whisper.load_audio(audio)
+    audio = whisper.pad_or_trim(audio)
+    
+    mel = whisper.log_mel_spectrogram(audio).to(model.device)
+    
+    _, probs = model.detect_language(mel)
+    
+    options = whisper.DecodingOptions(fp16 = False)
+    result = whisper.decode(model, mel, options)
+    
+    print(result.text)
+    return result.text, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
+
+
+
+
+css = "footer {visibility: hidden}"
+
+block = gr.Blocks(css=css)
 
-# Crear la interfaz de Gradio
-with gr.Blocks() as block:
+
+
+with block:
+    gr.HTML(
+       """
+           <div style="text-align: center; max-width: 650px; margin: 0 auto;">
+             <div
+               style="
+                 display: inline-flex;
+                 align-items: center;
+                 gap: 0.8rem;
+                 font-size: 1.75rem;
+               "
+             >
+
+
+               <h1 style="font-weight: 900; margin-bottom: 7px;">
+               </h1>
+             </div>
+           </div>
+       """
+    )
     with gr.Group():
         with gr.Box():
             with gr.Row().style(mobile_collapse=False, equal_height=True):
-                audio_input = gr.Audio(label="Input Audio", source="microphone", type="filepath")
-                transcribe_button = gr.Button("Transcribir")
-        transcription_output = gr.Textbox(label="Transcription")
+                audio = gr.Audio(
+                    label="Input Audio",
+                    show_label=False,
+                    source="microphone",
+                    type="filepath"
+                )
+
+                btn = gr.Button("Transcribir")
+        text = gr.Textbox(show_label=False, elem_id="result-textarea")
+        with gr.Group(elem_id="share-btn-container"):
+            loading_icon = gr.HTML(loading_icon_html, visible=False)
+
+        
+
 
-    transcribe_button.click(inference, inputs=[audio_input], outputs=[transcription_output])
+        
+        btn.click(inference, inputs=[audio], outputs=[text, loading_icon])
 
-block.launch()
+block.launch()