Spaces:
Running
Running
app.py
CHANGED
@@ -61,12 +61,16 @@ def create_lyrics_prompt(classification_results, song_structure):
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main_style = classification_results[0]['label']
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secondary_elements = [result['label'] for result in classification_results[1:3]]
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# Create a
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prompt = f"""Write
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Genre: {main_style}
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Musical elements: {', '.join(secondary_elements)}
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return prompt
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def format_lyrics(generated_text, song_structure):
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@@ -132,60 +136,78 @@ def generate_lyrics_with_retry(prompt, song_structure, max_retries=5, initial_wa
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for attempt in range(max_retries):
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try:
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response = requests.post(
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"https://api-inference.huggingface.co/models/
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headers=headers,
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json={
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"inputs": prompt,
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"parameters": {
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"max_new_tokens":
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"temperature": 0.
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"
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"do_sample": True,
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"return_full_text": False,
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"num_return_sequences":
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}
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}
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)
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if response.status_code == 200:
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# Try each generated sequence
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for result in results:
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generated_text = result.get("generated_text", "")
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if not generated_text:
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continue
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# Basic cleaning
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lines = [line.strip() for line in generated_text.split('\n')
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if line.strip() and not line.strip().startswith(('[', '#', '`'))]
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formatted_lyrics.extend(lines[:4])
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elif response.status_code == 503:
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print(f"Model loading,
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time.sleep(wait_time)
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wait_time *= 1.5
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continue
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@@ -196,7 +218,7 @@ def generate_lyrics_with_retry(prompt, song_structure, max_retries=5, initial_wa
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return f"Error generating lyrics: {response.text}"
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except Exception as e:
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print(f"
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if attempt < max_retries - 1:
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time.sleep(wait_time)
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wait_time *= 1.5
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main_style = classification_results[0]['label']
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secondary_elements = [result['label'] for result in classification_results[1:3]]
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# Create a more specific prompt for song lyrics
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prompt = f"""Write a short song with musical elements.
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Style: {main_style}
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Elements: {', '.join(secondary_elements)}
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Start with the first verse:
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[Verse 1]
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"""
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return prompt
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def format_lyrics(generated_text, song_structure):
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for attempt in range(max_retries):
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try:
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print(f"\nAttempt {attempt + 1}: Generating lyrics...")
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print(f"Using prompt:\n{prompt}")
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response = requests.post(
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"https://api-inference.huggingface.co/models/distilgpt2", # Using DistilGPT2 for more reliable generation
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headers=headers,
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json={
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"inputs": prompt,
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"parameters": {
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"max_new_tokens": 100, # Shorter output for more focused generation
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"temperature": 0.8,
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"top_p": 0.9,
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"do_sample": True,
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"return_full_text": False,
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"num_return_sequences": 1, # Single sequence for now
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"stop": ["\n\n", "[End]"]
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}
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}
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)
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print(f"Response status: {response.status_code}")
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if response.status_code == 200:
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try:
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result = response.json()
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print(f"Raw response: {result}")
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if isinstance(result, list) and len(result) > 0:
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generated_text = result[0].get("generated_text", "")
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if not generated_text:
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print("No text generated, retrying...")
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continue
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# Clean up the generated text
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lines = []
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current_lines = []
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for line in generated_text.split('\n'):
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line = line.strip()
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if not line or line.startswith(('```', '###', '[')):
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continue
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if len(line.split()) <= 15: # Only include reasonably-sized lines
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current_lines.append(line)
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if len(current_lines) >= 4:
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break
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if len(current_lines) >= 4:
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# Format into song structure
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lines.append("[Verse 1]")
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lines.extend(current_lines[:4])
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if song_structure['choruses'] > 0:
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lines.append("\n[Chorus]")
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lines.extend([
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"Let the music play",
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"In our special way",
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"Feel the rhythm flow",
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"As the melodies grow"
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])
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return "\n".join(lines)
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else:
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print(f"Not enough valid lines generated (got {len(current_lines)}), retrying...")
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else:
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print("Invalid response format, retrying...")
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except Exception as e:
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print(f"Error processing response: {str(e)}")
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if attempt < max_retries - 1:
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continue
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elif response.status_code == 503:
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print(f"Model loading, waiting {wait_time} seconds...")
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time.sleep(wait_time)
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wait_time *= 1.5
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continue
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return f"Error generating lyrics: {response.text}"
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except Exception as e:
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print(f"Exception during generation: {str(e)}")
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if attempt < max_retries - 1:
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time.sleep(wait_time)
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wait_time *= 1.5
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