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Update app.py
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app.py
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import gradio as gr
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from groq import Groq
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from PyPDF2 import PdfReader
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from docx import Document
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import os
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from gtts import gTTS
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import tempfile
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import whisper
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# Set the API key for Groq
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api_key = "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"
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os.environ["GROQ_API_KEY"] = api_key
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# Initialize Groq client with API key from environment variable
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api_key = os.getenv("GROQ_API_KEY")
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if not api_key:
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raise ValueError("API key for Groq is not set. Please set the environment variable GROQ_API_KEY.")
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client = Groq(api_key=api_key)
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# Load Whisper model
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model = whisper.load_model("base")
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def summarize_document(file):
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# Read file content
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if file.name.endswith('.pdf'):
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# Read PDF file
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reader = PdfReader(file.name)
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text = ''.join([page.extract_text() for page in reader.pages])
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elif file.name.endswith('.docx'):
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# Read DOCX file
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doc = Document(file.name)
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text = ''.join([para.text for para in doc.paragraphs])
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else:
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return "Unsupported file format. Please upload a PDF or DOCX file."
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# Generate summary
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chat_completion = client.chat.completions.create(
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messages=[
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{"role": "user", "content": f"Please summarize the following text: {text}"}
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],
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model="llama3-8b-8192",
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)
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summary = chat_completion.choices[0].message.content
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# Convert summary text to speech using gTTS
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tts = gTTS(text=summary, lang='en')
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audio_file = tempfile.NamedTemporaryFile(delete=False, suffix='.mp3')
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tts.save(audio_file.name)
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return summary, audio_file.name
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# Create Gradio interface with Monochrome theme
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iface = gr.Interface(
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fn=summarize_document,
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inputs=gr.File(label="Upload a Word or PDF Document"),
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outputs=[gr.Textbox(label="Summary"), gr.Audio(label="Audio Summary")],
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title="Document Summarizer",
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description="Upload a Word or PDF document and get a summary with audio playback.",
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theme=gr.themes.Monochrome() # Apply Monochrome theme
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)
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# Launch the interface with sharing enabled
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iface.launch(share=True, debug=True)
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