initial commit

README copy.md

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+---
+title: Transcription
+emoji: 📈
+colorFrom: red
+colorTo: yellow
+sdk: gradio
+sdk_version: 4.37.2
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import requests
+import os
+import time
+
+def upload_audio(file_path, progress=gr.Progress()):
+    url = f'{os.getenv("VOCHAI_URL")}/upload'
+    headers = {
+        'accept': 'application/json',
+        'Authorization': f'Bearer {os.getenv("VOCHAI_TOKEN")}',
+    }
+    with open(file_path, 'rb') as file:
+        files = {
+            'file': (os.path.basename(file_path), file, 'audio/*')
+        }
+        progress(0, desc="Uploading audio...")
+        response = requests.post(url, headers=headers, files=files)
+    if response.status_code == 200:
+        progress(0.5, desc="Upload complete")
+        return response.json()
+    else:
+        print("Error:", response.status_code, response.text)
+        return None
+
+def process_audio(audio_uri, progress=gr.Progress()):
+    url = f'{os.getenv("VOCHAI_URL")}/process?audio_uri={audio_uri}'
+    headers = {
+        'accept': 'application/json',
+        'Authorization': f'Bearer {os.getenv("VOCHAI_TOKEN")}',
+    }
+    progress(0.5, desc="Processing audio...")
+    response = requests.post(url, headers=headers)
+    if response.status_code == 200:
+        progress(1.0, desc="Processing complete")
+        return response.json()
+    else:
+        print("Error:", response.status_code, response.text)
+        return None
+
+def upload_and_process_audio(audio_path, progress=gr.Progress()):
+    gr.Info("Uploading and processing audio. This may take a moment...")
+    
+    # Upload the audio file
+    upload_result = upload_audio(audio_path, progress)
+    if not upload_result:
+        gr.Error("Upload failed")
+        return "Upload failed", "Upload failed"
+    
+    audio_uri = upload_result.get('uri')
+    
+    # Process the audio
+    process_result = process_audio(audio_uri, progress)
+    if not process_result:
+        gr.Error("Processing failed")
+        return "Processing failed", "Processing failed"
+    
+    gr.Info("Audio processing completed successfully!")
+    # Return the transcript and topic
+    return process_result.get("topic", "No topic detected"), process_result.get("transcript", "No transcript available")
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=upload_and_process_audio,
+    inputs=gr.Audio(type="filepath", label="Upload Audio File"),
+    outputs=[
+        gr.Textbox(label="Topic", rtl=True),
+        gr.Textbox(label="Transcript", rtl=True)
+    ],
+    title="Audio Transcription and Topic Detection",
+    description="Upload an audio file to get its transcript and detected topic.",
+)
+
+# Launch the interface
+iface.launch()

requirements.txt

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+gradio
+requests