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| from openai import OpenAI | |
| import gradio as gr | |
| import logging | |
| import requests | |
| import os | |
| import shutil | |
| import time | |
| # Setting up basic logging | |
| logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s', filename='app.log', filemode='w' ) | |
| # Configure OpenAI with your API key | |
| client = OpenAI(api_key='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') | |
| def transcribe_with_intella(): | |
| logging.debug(f"Transcribing with Intella") | |
| # Intella-Voice API endpoint for adding requests | |
| add_request_url = "https://api.intella-voice.com/api/accounts/84752622-5158-40ef-bab6-d6928892636b/Requests" | |
| headers = {'x-ApiToken': '78On8sGTQUOaEuY3jxOx/A=='} | |
| # Prepare payload and file data | |
| payload = {'fileName': 'File Name', 'timestamp': '2'} | |
| files = [('file', ('saved_audio.mp3', open('/home/ubuntu/cntxt/Fatwa_UAE/saved_audio.mp3', 'rb'), 'audio/wav'))] | |
| # Send POST request to add the audio file | |
| add_response = requests.request("POST", add_request_url, headers=headers, data=payload, files=files) | |
| print('audio text', add_response.text) | |
| request_id = add_response.json().get('id') | |
| print('audio text', add_response.text) | |
| time.sleep(20) | |
| # Intella-Voice API endpoint to get the transcription | |
| get_transcription_url = f"https://api.intella-voice.com/api/accounts/84752622-5158-40ef-bab6-d6928892636b/requests/{request_id}" | |
| # Send GET request to retrieve the transcription | |
| get_response = requests.request("GET", get_transcription_url, headers=headers) | |
| transcription = get_response.json().get('transcriptContent') | |
| print('transcription', transcription) | |
| return transcription | |
| def answer_question(question): | |
| logging.debug(f"Answering question: {question}") | |
| response = client.chat.completions.create( | |
| model="gpt-3.5-turbo", | |
| messages=[ | |
| {"role": "system", "content": "You are a helpful assistant."}, | |
| {"role": "user", "content": f"Answer the following question based on the content of https://fatwauae.gov.ae/en/services/fatwa-archive :\n\n{question}"} | |
| ] | |
| ) | |
| return response.choices[0].message.content | |
| def process_input(question, audio): | |
| logging.debug(f"Received question: {question}") | |
| logging.debug(f"Received audio: {audio}") | |
| if not question and not audio: | |
| logging.error("No question or audio provided.") | |
| return "", "No question provided." | |
| if question.strip(): | |
| answer = answer_question(question) | |
| return "", answer | |
| if audio: | |
| audio_path = "saved_audio.mp3" | |
| shutil.copyfile(audio, audio_path) | |
| print('audio saved') | |
| transcribed_text = transcribe_with_intella() | |
| answer = answer_question(transcribed_text) | |
| return transcribed_text, answer | |
| # Custom CSS to style the interface | |
| css = """ | |
| body { font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; } | |
| .gradio_app { max-width: 800px; margin: auto; background: #f4f4f4; padding: 20px; border-radius: 10px; box-shadow: 0 0 10px rgba(0, 0, 0, 0.1); } | |
| .gradio_header { display: flex; align-items: center; justify-content: center; margin-bottom: 20px; } | |
| .gradio_input_text textarea { height: 100px; } | |
| .gradio_output_text { white-space: pre-line; } | |
| .gradio_button { background-color: #106BA3; color: white; } | |
| """ | |
| iface = gr.Interface( | |
| fn=process_input, | |
| inputs=[gr.Textbox(lines=2, placeholder="Enter your question or use the audio button to record or upload it..."), gr.Audio(type="filepath", label="Or record/upload your question")], | |
| outputs=[gr.Textbox(label="Transcribed Question"), gr.Textbox(label="Answer")], | |
| css=css, | |
| title="Question Answering Interface", | |
| description="This interface answers your questions based on the content of the Fatwa UAE website in English. Use the text box or record/upload your audio question.", | |
| allow_flagging=False | |
| ) | |
| logging.debug("Launching Gradio interface...") | |
| iface.launch(share=True, debug = True) |