Talip7 commited on
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5b640eb
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1 Parent(s): f02615c

Upload app.py

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Files changed (1) hide show
  1. app.py +8 -4
app.py CHANGED
@@ -72,6 +72,7 @@ def extract_text_from_pdf(file):
72
  def generate_summary_and_keywords(text, summary_lang, style, char_limit):
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  prompt_template = PROMPT_TEMPLATES.get(summary_lang, PROMPT_TEMPLATES["English"])
74
  prompt = prompt_template.format(style=style, char_limit=char_limit, text=text[:2000])
 
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  try:
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  response = client.chat.completions.create(
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  model="gpt-3.5-turbo",
@@ -79,12 +80,14 @@ def generate_summary_and_keywords(text, summary_lang, style, char_limit):
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  temperature=0.7,
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  max_tokens=700
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  )
 
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  return response.choices[0].message.content
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  except Exception as e:
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  return f"OpenAI error: {str(e)}"
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  def generate_quiz(summary_text, summary_lang):
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  quiz_prompt = QUIZ_PROMPTS.get(summary_lang, QUIZ_PROMPTS["English"]).format(text=summary_text)
 
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  try:
89
  response = client.chat.completions.create(
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  model="gpt-3.5-turbo",
@@ -92,6 +95,7 @@ def generate_quiz(summary_text, summary_lang):
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  temperature=0.7,
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  max_tokens=500
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  )
 
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  return response.choices[0].message.content
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  except Exception as e:
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  return f"OpenAI quiz error: {str(e)}"
@@ -113,12 +117,12 @@ def process_input(text_input, pdf_file, summary_lang, style, char_limit, quiz_ch
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  summary = generate_summary_and_keywords(text, summary_lang, style, char_limit)
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  if quiz_check:
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  quiz = generate_quiz(summary, summary_lang)
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- return summary + "\n\n📘 Quiz Questions:\n" + quiz
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  else:
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  return summary
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  with gr.Blocks() as demo:
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- gr.Markdown("## 🧠 Two-Step Summarizer with Reliable Quiz Generator")
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  with gr.Row():
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  summary_lang = gr.Dropdown(choices=LANGUAGES, value="English", label="Summary Language")
@@ -131,12 +135,12 @@ with gr.Blocks() as demo:
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  text_input = gr.Textbox(lines=8, placeholder="Paste your text here...", label="Text Input")
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  pdf_file = gr.File(label="Or Upload PDF")
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- output = gr.Textbox(label="Output", lines=16)
135
 
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  run_btn = gr.Button("Summarize")
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  run_btn.click(fn=process_input,
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  inputs=[text_input, pdf_file, summary_lang, summary_style, char_limit, quiz_check],
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- outputs=output)
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  demo.launch()
 
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  def generate_summary_and_keywords(text, summary_lang, style, char_limit):
73
  prompt_template = PROMPT_TEMPLATES.get(summary_lang, PROMPT_TEMPLATES["English"])
74
  prompt = prompt_template.format(style=style, char_limit=char_limit, text=text[:2000])
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+ print("🔹 PROMPT 1:", prompt)
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  try:
77
  response = client.chat.completions.create(
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  model="gpt-3.5-turbo",
 
80
  temperature=0.7,
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  max_tokens=700
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  )
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+ print("✅ RESPONSE 1:", response.choices[0].message.content)
84
  return response.choices[0].message.content
85
  except Exception as e:
86
  return f"OpenAI error: {str(e)}"
87
 
88
  def generate_quiz(summary_text, summary_lang):
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  quiz_prompt = QUIZ_PROMPTS.get(summary_lang, QUIZ_PROMPTS["English"]).format(text=summary_text)
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+ print("🔹 PROMPT 2:", quiz_prompt)
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  try:
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  response = client.chat.completions.create(
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  model="gpt-3.5-turbo",
 
95
  temperature=0.7,
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  max_tokens=500
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  )
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+ print("✅ RESPONSE 2:", response.choices[0].message.content)
99
  return response.choices[0].message.content
100
  except Exception as e:
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  return f"OpenAI quiz error: {str(e)}"
 
117
  summary = generate_summary_and_keywords(text, summary_lang, style, char_limit)
118
  if quiz_check:
119
  quiz = generate_quiz(summary, summary_lang)
120
+ return summary + "\n\n### 📘 Quiz Questions:\n" + quiz
121
  else:
122
  return summary
123
 
124
  with gr.Blocks() as demo:
125
+ gr.Markdown("## 📚 Two-Step Summarizer with Markdown Output")
126
 
127
  with gr.Row():
128
  summary_lang = gr.Dropdown(choices=LANGUAGES, value="English", label="Summary Language")
 
135
  text_input = gr.Textbox(lines=8, placeholder="Paste your text here...", label="Text Input")
136
  pdf_file = gr.File(label="Or Upload PDF")
137
 
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+ output = gr.Markdown(label="Output")
139
 
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  run_btn = gr.Button("Summarize")
141
 
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  run_btn.click(fn=process_input,
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  inputs=[text_input, pdf_file, summary_lang, summary_style, char_limit, quiz_check],
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+ outputs=[output])
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  demo.launch()