File size: 1,083 Bytes
90ba62d
0b66c85
90ba62d
af14490
0b66c85
 
 
 
 
 
0e66e48
0b66c85
0e66e48
af14490
0b66c85
90ba62d
 
0b66c85
0e66e48
 
90ba62d
0b66c85
 
 
90ba62d
 
 
 
 
 
 
 
 
 
 
 
0b66c85
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
import gradio as gr
import google.generativeai as genai
import os

# Load environment variables manually
from dotenv import load_dotenv
load_dotenv()

# Set up Gemini API key (use an environment variable for security)
api_key = os.getenv("GEMINI_API_KEY")
if not api_key:
    print("Warning: GEMINI_API_KEY is not set. Please add it in Hugging Face Space secrets.")
else:
    print(f"API Key detected, length: {len(api_key)}")
    genai.configure(api_key=api_key)

def chat_with_ai(prompt):
    """Generates a response from Google's Gemini AI."""
    if not api_key:
        return "Error: Missing API key. Please configure it in the Hugging Face Space settings."
    try:
        model = genai.GenerativeModel("gemini-pro")
        response = model.generate_content(prompt)
        return response.text
    except Exception as e:
        return f"Error: {str(e)}"

# Create Gradio interface
iface = gr.Interface(
    fn=chat_with_ai,
    inputs=gr.Textbox(placeholder="Ask me anything..."),
    outputs=gr.Textbox()
)

# Launch the app
if __name__ == "__main__":
    iface.launch()