Delete processor.py

processor.py

@@ -1,117 +0,0 @@
-import pixeltable as pxt
-from pixeltable.iterators import DocumentSplitter
-from pixeltable.functions import openai
-import os
-import requests
-import tempfile
-import gradio as gr
-
-def process_document(pdf_file, api_key, voice_choice, style_choice, chunk_size, temperature, max_tokens, progress=gr.Progress()):
-    try:
-        os.environ['OPENAI_API_KEY'] = api_key
-        
-        progress(0.1, desc="Initializing...")
-        pxt.drop_dir('document_audio', force=True)
-        pxt.create_dir('document_audio')
-        
-        docs = pxt.create_table(
-            'document_audio.documents',
-            {
-                'document': pxt.Document,
-                'voice': pxt.String,
-                'style': pxt.String
-            }
-        )
-        
-        progress(0.2, desc="Processing document...")
-        docs.insert([{'document': pdf_file.name, 'voice': voice_choice, 'style': style_choice}])
-        
-        chunks = pxt.create_view(
-            'document_audio.chunks',
-            docs,
-            iterator=DocumentSplitter.create(
-                document=docs.document,
-                separators='token_limit',
-                limit=chunk_size
-            )
-        )
-        
-        progress(0.4, desc="Text processing...")
-        chunks['content_response'] = openai.chat_completions(
-            messages=[
-                {
-                    'role': 'system',
-                    'content': """Transform this text segment into clear, concise content.
-                    Structure:
-                    1. Core concepts and points
-                    2. Supporting details
-                    3. Key takeaways"""
-                },
-                {'role': 'user', 'content': chunks.text}
-            ],
-            model='gpt-4o-mini-2024-07-18',
-            max_tokens=max_tokens,
-            temperature=temperature
-        )
-        chunks['content'] = chunks.content_response['choices'][0]['message']['content']
-
-        progress(0.6, desc="Script generation...")
-        chunks['script_response'] = openai.chat_completions(
-            messages=[
-                {
-                    'role': 'system',
-                    'content': f"""Convert content to audio script.
-                    Style: {docs.style}
-                    Format:
-                    - Clear sentence structures
-                    - Natural pauses (...)
-                    - Term definitions when needed
-                    - Proper transitions"""
-                },
-                {'role': 'user', 'content': chunks.content}
-            ],
-            model='gpt-4o-mini-2024-07-18',
-            max_tokens=max_tokens,
-            temperature=temperature
-        )
-        chunks['script'] = chunks.script_response['choices'][0]['message']['content']
-
-        progress(0.8, desc="Audio synthesis...")
-        @pxt.udf(return_type=pxt.Audio)
-        def generate_audio(script: str, voice: str):
-            if not script or not voice:
-                return None
-            try:
-                response = requests.post(
-                    "https://api.openai.com/v1/audio/speech",
-                    headers={"Authorization": f"Bearer {api_key}"},
-                    json={"model": "tts-1", "input": script, "voice": voice}
-                )
-                if response.status_code == 200:
-                    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.mp3')
-                    temp_file.write(response.content)
-                    temp_file.close()
-                    return temp_file.name
-            except Exception as e:
-                print(f"Error in audio synthesis: {e}")
-            return None
-
-        chunks['audio'] = generate_audio(chunks.script, docs.voice)
-        
-        audio_path = chunks.select(chunks.audio).tail(1)['audio'][0]
-        
-        results = chunks.select(
-            chunks.content,
-            chunks.script
-        ).collect()
-        
-        display_data = [
-            [f"Segment {idx + 1}", row['content'], row['script']]
-            for idx, row in enumerate(results)
-        ]
-        
-        progress(1.0, desc="Complete")
-        return display_data, audio_path, "Processing complete"
-        
-    except Exception as e:
-        return None, None, f"Error: {str(e)}"