Spaces:
Sleeping
Sleeping
Upload app.py
Browse files
app.py
CHANGED
|
@@ -8,14 +8,15 @@ from langdetect import detect
|
|
| 8 |
client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
|
| 9 |
|
| 10 |
SUMMARY_STYLES = ["Child-Friendly", "Academic", "Tweet"]
|
| 11 |
-
LANGUAGES = ["English", "Turkish", "French", "German", "Spanish"]
|
| 12 |
|
| 13 |
LANGUAGE_CODES = {
|
| 14 |
"English": "en",
|
| 15 |
"Turkish": "tr",
|
| 16 |
"French": "fr",
|
| 17 |
"German": "de",
|
| 18 |
-
"Spanish": "es"
|
|
|
|
| 19 |
}
|
| 20 |
|
| 21 |
PROMPT_TEMPLATES = {
|
|
@@ -53,6 +54,13 @@ Luego proporciona 5 palabras clave relevantes.
|
|
| 53 |
|
| 54 |
TEXTO:
|
| 55 |
{text}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 56 |
"""
|
| 57 |
}
|
| 58 |
|
|
@@ -61,7 +69,8 @@ QUIZ_PROMPTS = {
|
|
| 61 |
"Turkish": "Aşağıdaki metne dayanarak, 4 seçenekli (A, B, C, D) 2 adet çoktan seçmeli soru oluştur:\n\n{text}",
|
| 62 |
"French": "Sur la base du texte ci-dessous, générez 2 questions à choix multiples (4 options A à D) :\n\n{text}",
|
| 63 |
"German": "Erstelle basierend auf dem folgenden Text 2 Multiple-Choice-Fragen (mit jeweils 4 Optionen A–D):\n\n{text}",
|
| 64 |
-
"Spanish": "Con base en el siguiente texto, genera 2 preguntas de opción múltiple (cada una con 4 opciones A–D):\n\n{text}"
|
|
|
|
| 65 |
}
|
| 66 |
|
| 67 |
def extract_text_from_pdf(file):
|
|
@@ -79,7 +88,9 @@ def extract_text_from_pdf(file):
|
|
| 79 |
return None, f"PDF reading error: {str(e)}"
|
| 80 |
|
| 81 |
def translate_text(text, target_lang):
|
| 82 |
-
translation_prompt = f"Translate the following text into {target_lang}:
|
|
|
|
|
|
|
| 83 |
try:
|
| 84 |
response = client.chat.completions.create(
|
| 85 |
model="gpt-3.5-turbo",
|
|
@@ -145,7 +156,7 @@ def process_input(text_input, pdf_file, summary_lang, style, char_limit, quiz_ch
|
|
| 145 |
return summary
|
| 146 |
|
| 147 |
with gr.Blocks() as demo:
|
| 148 |
-
gr.Markdown("##
|
| 149 |
|
| 150 |
with gr.Row():
|
| 151 |
summary_lang = gr.Dropdown(choices=LANGUAGES, value="English", label="Summary Language")
|
|
@@ -158,7 +169,7 @@ with gr.Blocks() as demo:
|
|
| 158 |
text_input = gr.Textbox(lines=8, placeholder="Paste your text here...", label="Text Input")
|
| 159 |
pdf_file = gr.File(label="Or Upload PDF")
|
| 160 |
|
| 161 |
-
output = gr.
|
| 162 |
|
| 163 |
run_btn = gr.Button("Summarize")
|
| 164 |
|
|
|
|
| 8 |
client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
|
| 9 |
|
| 10 |
SUMMARY_STYLES = ["Child-Friendly", "Academic", "Tweet"]
|
| 11 |
+
LANGUAGES = ["English", "Turkish", "French", "German", "Spanish", "Arabic"]
|
| 12 |
|
| 13 |
LANGUAGE_CODES = {
|
| 14 |
"English": "en",
|
| 15 |
"Turkish": "tr",
|
| 16 |
"French": "fr",
|
| 17 |
"German": "de",
|
| 18 |
+
"Spanish": "es",
|
| 19 |
+
"Arabic": "ar"
|
| 20 |
}
|
| 21 |
|
| 22 |
PROMPT_TEMPLATES = {
|
|
|
|
| 54 |
|
| 55 |
TEXTO:
|
| 56 |
{text}
|
| 57 |
+
""",
|
| 58 |
+
"Arabic": """
|
| 59 |
+
الرجاء تلخيص النص التالي بأسلوب {style}، على ألا يتجاوز {char_limit} حرفًا.
|
| 60 |
+
ثم قدم 5 كلمات مفتاحية مهمة.
|
| 61 |
+
|
| 62 |
+
النص:
|
| 63 |
+
{text}
|
| 64 |
"""
|
| 65 |
}
|
| 66 |
|
|
|
|
| 69 |
"Turkish": "Aşağıdaki metne dayanarak, 4 seçenekli (A, B, C, D) 2 adet çoktan seçmeli soru oluştur:\n\n{text}",
|
| 70 |
"French": "Sur la base du texte ci-dessous, générez 2 questions à choix multiples (4 options A à D) :\n\n{text}",
|
| 71 |
"German": "Erstelle basierend auf dem folgenden Text 2 Multiple-Choice-Fragen (mit jeweils 4 Optionen A–D):\n\n{text}",
|
| 72 |
+
"Spanish": "Con base en el siguiente texto, genera 2 preguntas de opción múltiple (cada una con 4 opciones A–D):\n\n{text}",
|
| 73 |
+
"Arabic": "قم بإنشاء سؤالين اختيار من متعدد استنادًا إلى النص أدناه، مع أربعة خيارات لكل سؤال (A، B، C، D):\n\n{text}"
|
| 74 |
}
|
| 75 |
|
| 76 |
def extract_text_from_pdf(file):
|
|
|
|
| 88 |
return None, f"PDF reading error: {str(e)}"
|
| 89 |
|
| 90 |
def translate_text(text, target_lang):
|
| 91 |
+
translation_prompt = f"Translate the following text into {target_lang}:
|
| 92 |
+
|
| 93 |
+
{text}"
|
| 94 |
try:
|
| 95 |
response = client.chat.completions.create(
|
| 96 |
model="gpt-3.5-turbo",
|
|
|
|
| 156 |
return summary
|
| 157 |
|
| 158 |
with gr.Blocks() as demo:
|
| 159 |
+
gr.Markdown("## 🌍 Multilingual Summarizer + Quiz Generator")
|
| 160 |
|
| 161 |
with gr.Row():
|
| 162 |
summary_lang = gr.Dropdown(choices=LANGUAGES, value="English", label="Summary Language")
|
|
|
|
| 169 |
text_input = gr.Textbox(lines=8, placeholder="Paste your text here...", label="Text Input")
|
| 170 |
pdf_file = gr.File(label="Or Upload PDF")
|
| 171 |
|
| 172 |
+
output = gr.Textbox(label="Output", lines=18)
|
| 173 |
|
| 174 |
run_btn = gr.Button("Summarize")
|
| 175 |
|