Python

Basic ques_ans.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[6]:
+
+
+get_ipython().system('pip install openai')
+
+
+# In[8]:
+
+
+import openai
+api_key = "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"
+openai.api_key = api_key
+que=input("Please Write Your Question:")
+
+response = openai.Completion.create(
+    engine="text-davinci-002",
+    prompt=que,
+    max_tokens=2000  # Adjust this value to control the response length
+)
+
+# Extract the generated answer
+ans = response.choices[0].text
+
+
+print("Q:", que)
+print("Ans:", ans)
+
+
+# In[ ]:
+
+
+
+

Gives youtube video as resources for search result.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[4]:
+
+
+import requests
+
+# Replace with your actual YouTube Data API key and endpoint
+api_key = 'AIzaSyBhTt5SFFN7MgyI-Qt2t8XtX2AHQ0mi_wc'
+api_endpoint = 'https://www.googleapis.com/youtube/v3/'
+
+# Get user input for the search query and the number of results
+search_query = input("Enter your search query: ")
+max_results = int(input("Enter the maximum number of results to retrieve: "))
+
+# Define parameters for your YouTube API request
+params = {
+    'part': 'snippet',  # Specify the data you want to retrieve
+    'q': search_query,  # User-provided search query
+    'maxResults': max_results,  # User-provided maximum number of results
+    'key': api_key,  # Include your API key
+}
+
+try:
+    response = requests.get(f'{api_endpoint}search', params=params)
+
+    if response.status_code == 200:
+        data = response.json()
+        if 'items' in data:
+            print("Search Results:")
+            for item in data['items']:
+                if item['id']['kind'] == 'youtube#video':
+                    video_title = item['snippet']['title']
+                    video_id = item['id']['videoId']
+                    video_url = f"https://www.youtube.com/watch?v={video_id}"
+                    print(f"Title: {video_title}")
+                    print(f"Video URL: {video_url}")
+                else:
+                    print(f"Skipping non-video item: {item['snippet']['title']}")
+        else:
+            print("No results found.")
+    else:
+        print(f"API request failed with status code {response.status_code}")
+
+except Exception as e:
+    print(f"An error occurred: {str(e)}")
+
+
+# In[ ]:
+
+
+
+

Question generator based on any topic.py

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+# -*- coding: utf-8 -*-
+"""Untitled9.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1hkaavvCZV1nDS2_uOuQMh30otjWfIlSL
+"""
+
+!pip install openai
+
+import openai
+
+
+api_key = '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'
+
+
+openai.api_key = api_key
+
+
+def generate_questions(prompt, num_questions=5, max_tokens=50):
+    response = openai.Completion.create(
+        engine="text-davinci-002",  # Choose an appropriate engine
+        prompt=prompt,
+        max_tokens=max_tokens,  # Adjust the max tokens as needed
+        n=num_questions  # Fixed number of questions to generate
+    )
+
+    generated_questions = [question['text'].strip() for question in response.choices]
+    return generated_questions
+
+user_prompt = input("Enter the text for which you want to generate questions: ")
+
+# Generate questions based on user input (fixed number of 2 questions)
+generated_questions = generate_questions(user_prompt)
+
+# Print the generated questions
+print("\nGenerated Questions:")
+for i, question in enumerate(generated_questions):
+    print(f"{i + 1}) {question}")