Update app.py

app.py

@@ -1,33 +1,32 @@
 import gradio as gr
 from transformers import pipeline
-import yagmail
+import numpy as np
 
 # Load the pre-trained models for transcription and summarization
 asr_model = pipeline("automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-english")
 summarization_model = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
 
-# Function to transcribe, summarize, and send email
-def transcribe_summarize_email(audio, email):
+# Function to transcribe and summarize
+def transcribe_and_summarize(audio):
+    if audio is None:
+        return "Error: No audio file provided.", None
+
+    # Check if the audio is from a mic recording (tuple) or file (ndarray)
+    if isinstance(audio, tuple):  # Mic recordings are returned as (sample_rate, data)
+        audio = np.array(audio[1], dtype=np.float32)
+
     transcription = asr_model(audio)["text"]
     summary = summarization_model(transcription, max_length=130, min_length=30, do_sample=False)[0]["summary_text"]
     
-    # Send email with transcription and summary
-    yag = yagmail.SMTP('[email protected]', 'jatc hwka ejhq awhi')
-    contents = [
-        f"Transcription:\n{transcription}",
-        f"\nSummary:\n{summary}"
-    ]
-    yag.send(to=email, subject="Meeting Transcription and Summary", contents=contents)
-    
-    return transcription, summary, f"Email sent to {email}"
+    return transcription, summary
 
 # Create a Gradio interface
 interface = gr.Interface(
-    fn=transcribe_summarize_email, 
-    inputs=[gr.Audio(type="filepath"), gr.Textbox(label="Recipient Email")], 
-    outputs=["text", "text", "text"],
-    title="Meeting Transcription, Summarization, and Email",
-    description="Upload an audio file to get a transcription, summary, and send them via email."
+    fn=transcribe_and_summarize, 
+    inputs=gr.Audio(type="filepath"), 
+    outputs=["text", "text"],
+    title="Meeting Transcription and Summarization",
+    description="Upload an audio file or record using the mic to get a transcription and summary."
 )
 
 # Launch the interface