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import os |
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from flask import Flask, request, render_template, jsonify |
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from groq import Groq |
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os.environ["GROQ_API_KEY"] = "your_groq_api_key_here" |
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client = Groq(api_key=os.environ["GROQ_API_KEY"]) |
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app = Flask(__name__) |
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@app.route('/') |
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def index(): |
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return render_template('index.html') |
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@app.route('/transcribe', methods=['POST']) |
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def transcribe_audio(): |
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audio_data = request.files['audio_data'] |
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selected_language = request.form['language'] |
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try: |
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transcription = client.audio.transcriptions.create( |
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file=(audio_data.filename, audio_data.read()), |
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model="whisper-large-v3", |
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prompt="Transcribe the audio accurately based on the selected language.", |
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response_format="text", |
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language=selected_language, |
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) |
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return jsonify({'transcription': transcription}) |
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except Exception as e: |
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return jsonify({'error': str(e)}), 500 |
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@app.route('/check_grammar', methods=['POST']) |
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def check_grammar(): |
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transcription = request.form.get('transcription') |
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selected_language = request.form.get('language') |
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if not transcription or not selected_language: |
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return jsonify({'error': 'Missing transcription or language selection'}), 400 |
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try: |
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grammar_prompt = ( |
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f"Briefly check the grammar of the following text in {selected_language}: {transcription}. " |
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"Identify any word that does not belong to the selected language and flag it. Based on the number of incorrect words, also check the grammar deeply and carefully. " |
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"Provide a score from 1 to 10 based on the grammar accuracy, reducing points for incorrect words and make sure to output the score on a new line after two line breaks like 'SCORE='." |
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) |
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grammar_check_response = client.chat.completions.create( |
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model="llama3-groq-70b-8192-tool-use-preview", |
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messages=[{"role": "user", "content": grammar_prompt}] |
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) |
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grammar_feedback = grammar_check_response.choices[0].message.content.strip() |
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vocabulary_prompt = ( |
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f"Check the vocabulary accuracy of the following text in {selected_language}: {transcription}. " |
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"Identify any word that does not belong to the selected language and flag it. Based on the number of incorrect words, also check the grammar deeply and carefully. " |
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"Provide a score from 1 to 10 based on the vocabulary accuracy reducing points for incorrect words and make sure to output the score on a new line after two line breaks like 'SCORE='." |
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) |
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vocabulary_check_response = client.chat.completions.create( |
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model="llama-3.1-70b-versatile", |
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messages=[{"role": "user", "content": vocabulary_prompt}] |
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) |
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vocabulary_feedback = vocabulary_check_response.choices[0].message.content.strip() |
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grammar_score = calculate_score(grammar_feedback) |
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vocabulary_score = calculate_score(vocabulary_feedback) |
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return jsonify({ |
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'grammar_feedback': grammar_feedback, |
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'vocabulary_feedback': vocabulary_feedback, |
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'grammar_score': grammar_score, |
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'vocabulary_score': vocabulary_score |
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}) |
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except Exception as e: |
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return jsonify({'error': str(e)}), 500 |
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def calculate_score(feedback): |
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""" |
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Calculate score based on feedback content. |
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This function searches for the keyword 'SCORE=' or similar variations |
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(SCORE:, score:, etc.) and extracts the score value. |
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""" |
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import re |
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match = re.search(r'(SCORE=|score=|SCORE:|score:|SCORE = )\s*(\d+)', feedback) |
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if match: |
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return int(match.group(2)) |
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return 0 |
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if __name__ == "__main__": |
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app.run(debug=True) |
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