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Rename text2generation.py to audio_generator.py
Browse files- audio_generator.py +16 -0
- text2generation.py +0 -97
audio_generator.py
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import os
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from elevenlabs import generate, save
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def generate_audio(text, filename="output_audio.mp3"):
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api_key = os.getenv("ELEVENLABS_API_KEY")
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if not api_key:
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raise RuntimeError("Missing ElevenLabs API Key. Set ELEVENLABS_API_KEY in environment variables.")
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audio = generate(
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text=text,
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voice="Rachel", # Change voice if needed
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model="eleven_monolingual_v1",
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api_key=api_key
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)
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save(audio, filename)
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return filename
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text2generation.py
DELETED
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@@ -1,97 +0,0 @@
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import os
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import httpx
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def generate_educational_content(question):
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try:
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headers = {
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"Authorization": f"Bearer {os.getenv('OPENROUTER_API_KEY')}",
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"Content-Type": "application/json",
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"HTTP-Referer": "https://sreepathi-ravikumar-backendprocess.hf.space",
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"X-Title": "Educational AI Assistant"
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}
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# Step 1: Detailed explanation
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with httpx.Client(timeout=15.0) as client:
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detailed_response = client.post(
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url="https://openrouter.ai/api/v1/chat/completions",
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headers=headers,
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json={
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"model": "deepseek/deepseek-chat-v3-0324:free",
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"messages": [{
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"role": "user",
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"content": f"""As an expert educator, provide:
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1. Key Concepts
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2. Examples
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3. Common Mistakes
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Question: {question}"""
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}],
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"temperature": 0.7,
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"max_tokens": 2000
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}
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)
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detailed_answer = detailed_response.json()['choices'][0]['message']['content']
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# Step 2: Video script
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with httpx.Client(timeout=15.0) as client:
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video_response = client.post(
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url="https://openrouter.ai/api/v1/chat/completions",
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headers=headers,
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json={
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"model": "deepseek/deepseek-chat-v3-0324:free",
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"messages": [{
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"role": "user",
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"content": f"""Convert this into a video script:\n\n{detailed_answer}\n\nFormat:
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[Duration]: 5–8 sec
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[Visual]: Description + Pexels keywords
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[Voiceover]: Narration
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[Transition]: Next scene"""
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}],
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"temperature": 0.5,
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"max_tokens": 1500
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}
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)
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video_script = video_response.json()['choices'][0]['message']['content']
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# Step 3: Audio script
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with httpx.Client(timeout=15.0) as client:
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audio_response = client.post(
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url="https://openrouter.ai/api/v1/chat/completions",
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headers=headers,
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json={
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"model": "deepseek/deepseek-chat-v3-0324:free",
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"messages": [{
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"role": "user",
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"content": f"""Convert this into an engaging narration with a friendly tone:\n\n{detailed_answer}"""
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}],
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"temperature": 0.8,
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"max_tokens": 1000
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}
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)
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audio_script = audio_response.json()['choices'][0]['message']['content']
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# Step 4: Summary
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with httpx.Client(timeout=15.0) as client:
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summary_response = client.post(
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url="https://openrouter.ai/api/v1/chat/completions",
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headers=headers,
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json={
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"model": "deepseek/deepseek-chat-v3-0324:free",
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"messages": [{
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"role": "user",
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"content": f"""Create a simple 3-sentence student summary:\n\n{detailed_answer}"""
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}],
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"temperature": 0.3,
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"max_tokens": 300
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}
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)
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summary = summary_response.json()['choices'][0]['message']['content']
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return {
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"video_script": video_script,
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"audio_script": audio_script,
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"summary": summary,
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"detailed_answer": detailed_answer
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}
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except Exception as e:
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return {"error": str(e)}
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