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| import os | |
| import google.generativeai as genai | |
| # Load API key - Use consistent environment variable name | |
| genai.configure(api_key=os.getenv("PALM_API_KEY")) | |
| # Updated model name and configuration | |
| model = genai.GenerativeModel("gemini-1.5-flash") # or "gemini-1.5-pro" | |
| def summarize_with_palm(text): | |
| try: | |
| # Enhanced prompt for medical reports | |
| prompt = f""" | |
| You are a medical assistant specializing in health report analysis. Please analyze the following medical/lab report and provide: | |
| 1. **Summary**: A concise 2-3 line summary of the overall health status | |
| 2. **Key Findings**: List the most important test results and their significance | |
| 3. **Abnormal Values**: Highlight any values outside normal ranges with simple explanations | |
| 4. **Health Recommendations**: Basic health advice based on the results (always recommend consulting a doctor for medical decisions) | |
| Important: Use simple, patient-friendly language. Avoid complex medical jargon. | |
| Report Text: | |
| {text} | |
| Please format your response clearly with the above sections. | |
| """ | |
| # Generate content with the updated API | |
| response = model.generate_content(prompt) | |
| # Check if response is valid | |
| if response and response.text: | |
| return response.text.strip() | |
| else: | |
| return "❌ No summary could be generated from the report." | |
| except Exception as e: | |
| # Better error handling with specific error types | |
| error_msg = str(e) | |
| if "API_KEY" in error_msg.upper(): | |
| return "❌ API Key error: Please check your PALM_API_KEY environment variable." | |
| elif "QUOTA" in error_msg.upper(): | |
| return "❌ API Quota exceeded: Please check your Google AI Studio quota." | |
| elif "404" in error_msg: | |
| return "❌ Model not found: Please verify the model name and API access." | |
| else: | |
| return f"❌ Summarization error: {error_msg}" |