Create app.py

app.py

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+
+
+import openai
+import gradio as gr
+import pytesseract
+from PIL import Image
+import numpy as np
+
+# set your OpenAI API key here
+openai.api_key = ""
+
+def generate_questions(text):
+    # set parameters for question generation
+    prompts = [
+                    f"Generate 5-mark questions based on the following text:\n{text}\n\nQuestions:",
+                    f"What are some opinion-based questions that can be asked about the following text?\n{text}\n\nQuestions:",
+                    f"What are some fact-based questions that can be asked about the following text?\n{text}\n\nQuestions:",
+                    f"Generate 3 tricky questions that require creative thinking based on the following text:\n{text}\n\nQuestions:",
+                    f"Generate 2 long questions (10+ words) and 3 short questions (5-7 words) based on the following text:\n{text}\n\nQuestions:"
+    ]
+    model = "text-davinci-003"
+    temperature = 0.7
+    max_tokens = 200
+    
+    # generate questions using the OpenAI API
+    questions = []
+    counter = 1  # initialize counter variable
+    for prompt in prompts:
+        response = openai.Completion.create(engine=model, prompt=prompt, temperature=temperature, max_tokens=max_tokens)
+        prompt_questions = response.choices[0].text.strip().split("\n")
+        # remove any duplicate questions
+        prompt_questions = list(set(prompt_questions))
+        for question in prompt_questions:
+            numbered_question = f"{counter}. {question}"  # add counter to beginning of question
+            questions.append(numbered_question)
+            counter += 1
+    
+    # return the generated questions
+    return "\n".join(questions)
+
+
+def generate_questions_from_image(image):
+    # preprocess image and convert to text
+    image = Image.fromarray(np.uint8(image))
+    image_text = pytesseract.image_to_string(image)
+    
+    # generate questions from image text
+    return generate_questions(image_text)
+
+
+# create the Gradio interface
+iface = gr.Interface(fn=generate_questions_from_image,
+                     inputs=gr.inputs.Image(label="Upload an image"),
+                     outputs=gr.outputs.Textbox(label="Generated Questions"),
+                     title="Question Generator By Daksh Chawla",
+                     description="Generate a diverse set of questions based on the provided image input.")
+
+# launch the interface
+iface.launch(share=True)
+