Upload 3 files

.env

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+GOOGLE_API_KEY='AIzaSyD1O5UaebHbAan9cCNomNP3hGXloC5-FT8'

app.py

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+# import required libraries
+from dotenv import load_dotenv 
+load_dotenv()  # to load all the env variables
+
+import gradio as gr
+import os
+import google.generativeai as genai
+from PIL import Image
+import numpy as np
+
+# Configure api key
+genai.configure(api_key= os.getenv("GOOGLE_API_KEY"))
+
+# creating function to load gemini pro model
+model = genai.GenerativeModel("gemini-pro")
+model1 = genai.GenerativeModel("gemini-pro-vision")
+
+def get_response(text_input, image_input):
+    # Convert NumPy array to PIL Image
+    if isinstance(image_input, np.ndarray):
+        image_input = Image.fromarray(np.uint8(image_input))
+
+    if text_input == '' and image_input is None:
+        return "Please provide a text and an image."
+
+    if text_input != '' and image_input is not None:
+        response = model1.generate_content([text_input, image_input])
+    elif image_input is None:
+        response = model.generate_content(text_input)
+    elif text_input == '':
+        response = model1.generate_content(image_input)
+
+    if response is not None:
+        return response.text
+    else:
+        return "No response available"
+      
+# Correct the function name in the gr.Interface
+demo = gr.Interface(fn=get_response, inputs=['text', gr.Image()], outputs="text", title='Artificial Intelligence API')
+demo.launch(debug=True, share=True)

requirements.txt

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+gradio
+numpy
+google-generativeai
+python-dotenv
+Pillow