Update app.py

app.py

@@ -5,11 +5,12 @@ import librosa
 import os
 from transformers import WhisperProcessor, WhisperForConditionalGeneration
 
-# Set Hugging Face cache directory explicitly
-os.environ["HF_HOME"] = "/tmp/hf_cache"
+# Explicitly set writable cache directory
+os.environ['HF_HOME'] = '/tmp/hf_cache'
 
 app = Flask(__name__)
 
+# Temporarily using smaller model for faster testing
 model_id = "openai/whisper-base"
 processor = WhisperProcessor.from_pretrained(model_id)
 model = WhisperForConditionalGeneration.from_pretrained(model_id)
@@ -19,4 +20,43 @@ model.to(device)
 
 forced_decoder_ids = processor.get_decoder_prompt_ids(language="he", task="transcribe")
 
-# rest of the code remains unchanged...
+def transcribe_audio(audio_url):
+    response = requests.get(audio_url)
+    audio_path = "/tmp/temp_audio.wav"
+    with open(audio_path, "wb") as f:
+        f.write(response.content)
+
+    waveform, sr = librosa.load(audio_path, sr=16000)
+    max_duration_sec = 3600
+    waveform = waveform[:sr * max_duration_sec]
+
+    chunk_duration_sec = 25
+    chunk_size = sr * chunk_duration_sec
+    chunks = [waveform[i:i + chunk_size] for i in range(0, len(waveform), chunk_size)]
+
+    partial_text = ""
+    for chunk in chunks:
+        inputs = processor(chunk, sampling_rate=16000, return_tensors="pt", padding=True)
+        input_features = inputs.input_features.to(device)
+
+        with torch.no_grad():
+            predicted_ids = model.generate(input_features, forced_decoder_ids=forced_decoder_ids)
+
+        transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]
+        partial_text += transcription + "\n"
+
+    return partial_text.strip()
+
+@app.route('/transcribe', methods=['POST'])
+def transcribe_endpoint():
+    data = request.get_json()
+    audio_url = data.get('audio_url')
+    if not audio_url:
+        return jsonify({"error": "Missing 'audio_url' in request"}), 400
+
+    transcription = transcribe_audio(audio_url)
+
+    return jsonify({"transcription": transcription})
+
+if __name__ == '__main__':
+    app.run(host="0.0.0.0", port=7860)