ciaochris commited on
Commit
896265e
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1 Parent(s): c2bea7e

Update app.py

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Files changed (1) hide show
  1. app.py +35 -4
app.py CHANGED
@@ -15,6 +15,24 @@ except KeyError:
15
  logging.error("GROQ_API_KEY not found in environment variables")
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  raise EnvironmentError("Please set the GROQ_API_KEY environment variable")
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18
  def generate_tutor_output(subject: str, difficulty: str, student_input: str) -> str:
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  prompt = f"""
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  You are an expert tutor in {subject} at the {difficulty} level. The student has provided the following input: "{student_input}"
@@ -79,9 +97,11 @@ def create_interface() -> gr.Blocks:
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  label="Your Input",
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  info="Enter the topic you want to explore"
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  )
 
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  submit_button = gr.Button("📚 Generate Lesson", variant="primary")
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84
  with gr.Column(scale=3):
 
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  lesson_output = gr.Markdown(label="Lesson")
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  example_output = gr.Markdown(label="Example")
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  real_world_output = gr.Markdown(label="Real-World Application")
@@ -90,7 +110,7 @@ def create_interface() -> gr.Blocks:
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  ### How to Use
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  1. Select a subject from the dropdown.
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  2. Choose your difficulty level.
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- 3. Enter the topic or question you'd like to explore.
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  4. Click 'Generate Lesson' to receive a personalized lesson, example, and real-world application.
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  5. Review the AI-generated content to enhance your learning.
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  6. Feel free to ask follow-up questions or explore new topics!
@@ -98,10 +118,21 @@ def create_interface() -> gr.Blocks:
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  Remember: This is an AI-powered educational tool. Always verify important information with authoritative sources.
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  """)
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  submit_button.click(
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- fn=lambda s, d, i: process_output(generate_tutor_output(s, d, i)),
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- inputs=[subject, difficulty, student_input],
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- outputs=[lesson_output, example_output, real_world_output]
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  )
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107
  return demo
 
15
  logging.error("GROQ_API_KEY not found in environment variables")
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  raise EnvironmentError("Please set the GROQ_API_KEY environment variable")
17
 
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+ def transcribe_audio(audio_path):
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+ try:
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+ # Open and read the audio file
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+ with open(audio_path, "rb") as audio_file:
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+ audio_data = audio_file.read()
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+
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+ # Transcribe the audio using Distil-Whisper
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+ transcription = client.audio.transcriptions.create(
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+ file=(os.path.basename(audio_path), audio_data),
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+ model="distil-whisper-large-v3-en",
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+ response_format="verbose_json",
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+ )
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+
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+ return transcription.text
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+ except Exception as e:
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+ logging.error(f"Error in transcription: {str(e)}")
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+ return f"Error in transcription: {str(e)}"
35
+
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  def generate_tutor_output(subject: str, difficulty: str, student_input: str) -> str:
37
  prompt = f"""
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  You are an expert tutor in {subject} at the {difficulty} level. The student has provided the following input: "{student_input}"
 
97
  label="Your Input",
98
  info="Enter the topic you want to explore"
99
  )
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+ audio_input = gr.Audio(type="filepath", label="Or speak your question")
101
  submit_button = gr.Button("📚 Generate Lesson", variant="primary")
102
 
103
  with gr.Column(scale=3):
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+ transcription_output = gr.Textbox(label="Transcribed Audio (if provided)")
105
  lesson_output = gr.Markdown(label="Lesson")
106
  example_output = gr.Markdown(label="Example")
107
  real_world_output = gr.Markdown(label="Real-World Application")
 
110
  ### How to Use
111
  1. Select a subject from the dropdown.
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  2. Choose your difficulty level.
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+ 3. Enter the topic or question you'd like to explore, or use the microphone to speak your question.
114
  4. Click 'Generate Lesson' to receive a personalized lesson, example, and real-world application.
115
  5. Review the AI-generated content to enhance your learning.
116
  6. Feel free to ask follow-up questions or explore new topics!
 
118
  Remember: This is an AI-powered educational tool. Always verify important information with authoritative sources.
119
  """)
120
 
121
+ def process_input(subject, difficulty, text_input, audio_input):
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+ if audio_input:
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+ transcribed_text = transcribe_audio(audio_input)
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+ student_input = transcribed_text
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+ else:
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+ student_input = text_input
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+ transcribed_text = ""
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+
129
+ lesson, example, real_world = process_output(generate_tutor_output(subject, difficulty, student_input))
130
+ return transcribed_text, lesson, example, real_world
131
+
132
  submit_button.click(
133
+ fn=process_input,
134
+ inputs=[subject, difficulty, student_input, audio_input],
135
+ outputs=[transcription_output, lesson_output, example_output, real_world_output]
136
  )
137
 
138
  return demo