Fix: Switch to google-generativeai and upgrade Gradio to v5.10+ to resolve dependency conflicts

app.py

@@ -6,7 +6,7 @@ import pickle
 import numpy as np
 import re
 import os
-from google import genai
+import google.generativeai as genai
 from pathlib import Path
 from typing import Dict, Tuple
 from nltk.corpus import stopwords
@@ -20,11 +20,10 @@ load_dotenv()
 # Configure Gemini
 GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
 if GEMINI_API_KEY:
-    client = genai.Client(api_key=GEMINI_API_KEY)
-    model_name = 'gemini-1.5-flash'
+    genai.configure(api_key=GEMINI_API_KEY)
+    gemini_model = genai.GenerativeModel('gemini-1.5-flash')
 else:
-    client = None
-    model_name = None
+    gemini_model = None
     print("WARNING: GEMINI_API_KEY not found in environment variables")
 
 # Download NLTK data if not present
@@ -134,7 +133,7 @@ def extract_features(question: str) -> np.ndarray:
 
 def get_gemini_solution(question: str, image_path: str = None) -> str:
     """Get solution from Gemini API"""
-    if not client or not model_name:
+    if not gemini_model:
         return "Gemini API key not configured. Please set GEMINI_API_KEY in your .env file."
     
     try:
@@ -144,17 +143,11 @@ def get_gemini_solution(question: str, image_path: str = None) -> str:
             img = Image.open(image_path)
             prompt = "Solve this math problem step-by-step with clear explanations."
             
-            response = client.models.generate_content(
-                model=model_name,
-                contents=[prompt, img]
-            )
+            response = gemini_model.generate_content([prompt, img])
         else:
             prompt = f"Solve this math problem step-by-step: {question}"
 
-            response = client.models.generate_content(
-                model=model_name,
-                contents=prompt
-            )
+            response = gemini_model.generate_content(prompt)
         
         return response.text
     except Exception as e:

requirements.txt

@@ -1,12 +1,11 @@
-gradio==4.44.1
-huggingface_hub==0.24.7
+gradio>=5.10.0
+google-generativeai
 numpy>=1.26.0
 pandas>=2.1.0
 scikit-learn>=1.4.0
 scipy>=1.11.0
 nltk
 python-dotenv
-google-genai
 Pillow
 fastparquet
 pyarrow