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app.py

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+import PIL.Image
+import gradio as gr
+import base64
+import time
+import os
+import google.generativeai as genai
+from dotenv import load_dotenv
+load_dotenv()
+
+
+
+# Set Google API key
+genai.configure(api_key=os.getenv("'GOOGLE_API_KEY'"))
+
+# os.environ['GOOGLE_API_KEY'] = ""
+# genai.configure(api_key=os.environ['GOOGLE_API_KEY'])
+
+# Create the Model
+txt_model = genai.GenerativeModel('gemini-pro')
+vis_model = genai.GenerativeModel('gemini-pro-vision')
+
+
+# Image to Base 64 Converter
+def image_to_base64(image_path):
+    with open(image_path, 'rb') as img:
+        encoded_string = base64.b64encode(img.read())
+    return encoded_string.decode('utf-8')
+
+
+# Function that takes User Inputs and displays it on ChatUI
+def query_message(history, txt, img):
+    if not img:
+        history.append((txt, None))
+        return history
+    base64_data = image_to_base64(img)
+    data_url = f"data:image/jpeg;base64,{base64_data}"
+    history.append((f"{txt} ![]({data_url})", None))
+    return history
+
+
+# Function that takes User Inputs, generates Response and displays on Chat UI
+def llm_response(history, text, img):
+    if not img:
+        response = txt_model.generate_content(text)
+        history.append((None, response.text))
+        return history
+
+    else:
+        img = PIL.Image.open(img)
+        response = vis_model.generate_content([text, img])
+        history.append((None, response.text))
+        return history
+
+
+# Interface Code
+with gr.Blocks() as app:
+    with gr.Row():
+        image_box = gr.Image(type="filepath")
+
+        chatbot = gr.Chatbot(
+            scale=2,
+            height=600
+        )
+    text_box = gr.Textbox(
+        placeholder="Enter text and press enter, or upload an image",
+        container=False,
+    )
+
+    btn = gr.Button("Submit")
+    clicked = btn.click(query_message,
+                        [chatbot, text_box, image_box],
+                        chatbot
+                        ).then(llm_response,
+                               [chatbot, text_box, image_box],
+                               chatbot
+                               )
+app.queue()
+app.launch(debug=True)

requirements.txt

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+google-generativeai 
+gradio 
+Pillow