Spaces:
Sleeping
Sleeping
File size: 1,463 Bytes
236cd54 |
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 39 40 41 42 43 44 45 46 47 48 49 |
import gradio as gr
import google.generativeai as genai
import os
# Set up Gemini API key (use environment variable on Hugging Face)
API_KEY = os.getenv("GEMINI_API_KEY") # Set this in Hugging Face secrets
genai.configure(api_key=API_KEY)
# Use Gemini 1.5 Flash (free-tier accessible)
model = genai.GenerativeModel("gemini-1.5-flash")
def chatbot(prompt, history=[]):
"""Generates a chatbot response using the free-tier Gemini API."""
try:
response = model.generate_content(prompt)
return response.text
except Exception as e:
return f"Error: {e}"
def vqa(image, question):
"""Performs Visual Question Answering (VQA) using the Gemini API."""
try:
response = model.generate_content([question, image])
return response.text
except Exception as e:
return f"Error: {e}"
# Create Gradio interfaces
chat_interface = gr.ChatInterface(
chatbot,
title="Free Gemini API Chatbot",
description="Ae chatbot powered by the free-tier Google Gemini API."
)
vqa_interface = gr.Interface(
fn=vqa,
inputs=[gr.Image(type="filepath"), gr.Textbox(label="Question")],
outputs=gr.Textbox(label="Answer"),
title="Visual Question Answering (VQA)",
description="Upload an image and ask a question about it."
)
# Combine interfaces
with gr.Blocks() as demo:
gr.TabbedInterface([chat_interface, vqa_interface], ["Chatbot", "VQA"])
if __name__ == "__main__":
demo.launch()
|