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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,75 @@ | ||
| from flask import Flask, request, jsonify | ||
| from flask_cors import CORS | ||
| import google.generativeai as palm | ||
| import os | ||
| from dotenv import load_dotenv | ||
|
|
||
| app = Flask(__name__) | ||
| CORS(app) # Enable CORS for all routes | ||
|
|
||
| # Load API key from .env file | ||
| load_dotenv() | ||
| palm_api_key = os.getenv('PALM_API_KEY') # Get your API key from environment variable | ||
| if not palm_api_key: | ||
| raise ValueError("API key is missing. Please set your API key in the environment variables.") | ||
| palm.configure(api_key=palm_api_key) | ||
|
|
||
| @app.route('/generate_trending_titles', methods=['GET']) | ||
| def generate_trending_titles(): | ||
| try: | ||
| prompt = """ | ||
| You are a content generator specialized in creating catchy and engaging blog titles. | ||
| Please generate 20 trending blog titles that would appeal to a broad audience in the current time. | ||
| The titles should be innovative, popular, and attention-grabbing. | ||
| """ | ||
| model = palm.GenerativeModel('gemini-pro') | ||
| response = model.generate_content(prompt) | ||
| blog_titles = response.text.strip().split("\n") | ||
| return jsonify({"trending_titles": blog_titles[:10]}), 200 | ||
| except Exception as e: | ||
| print("Error:", str(e)) | ||
| return jsonify({"error": "An error occurred while generating the blog titles."}), 500 | ||
|
|
||
| # New endpoint to generate content based on the title | ||
| @app.route('/generate-content', methods=['POST']) | ||
| def generate_content(): | ||
| try: | ||
| # Get the title and summary from the request | ||
| data = request.get_json() | ||
| title = data.get('title', '') | ||
| summary = data.get('summary', '') | ||
|
|
||
| # Check if both title and summary are provided | ||
| if not title and not summary: | ||
| return jsonify({"error": "Title and summary are required"}), 400 | ||
|
|
||
| # Define a prompt using the title and summary to generate content | ||
| prompt = (f"Write a detailed and informative blog post on the topic: '{title}'. " | ||
| f"Use the following summary as a reference: '{summary}'. " | ||
| "Make it engaging and informative, and elaborate based on the provided summary in 200 words.") | ||
|
|
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| # Call the generative model with the title and summary prompt | ||
| model = palm.GenerativeModel('gemini-pro') | ||
| response = model.generate_content(prompt) | ||
|
|
||
| # Extract the generated content | ||
| content = response.text.strip() if response and response.text else "No content generated." | ||
|
|
||
| # Return the content as a JSON response | ||
| return jsonify({"content": content}), 200 | ||
|
|
||
| except Exception as e: | ||
| print("Error:", str(e)) | ||
| return jsonify({"error": "An error occurred while generating the content."}), 500 | ||
|
|
||
|
|
||
| except Exception as e: | ||
| print("Error:", str(e)) | ||
| return jsonify({"error": "An error occurred while generating the content."}), 500 | ||
|
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||
| @app.route('/analyze', methods=['GET']) | ||
| def health_check(): | ||
| return jsonify({"message": "Server running!"}), 200 | ||
|
|
||
| if __name__ == "__main__": | ||
| app.run(debug=True, port=8000) |
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