Create app.py

app.py

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+
+
+from dotenv import load_dotenv
+
+load_dotenv()  # take environment variables from .env.
+
+import streamlit as st
+import os
+import pathlib
+import textwrap
+from PIL import Image
+
+
+import google.generativeai as genai
+
+
+os.getenv("GOOGLE_API_KEY")
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+## Function to load OpenAI model and get respones
+
+def get_gemini_response(input,image,prompt):
+    model = genai.GenerativeModel('gemini-pro-vision')
+    response = model.generate_content([input,image[0],prompt])
+    return response.text
+    
+
+def input_image_setup(uploaded_file):
+    # Check if a file has been uploaded
+    if uploaded_file is not None:
+        # Read the file into bytes
+    
+        bytes_data = uploaded_file.getvalue()
+
+        image_parts = [
+            {
+                "mime_type": uploaded_file.type,  # Get the mime type of the uploaded file
+                "data": bytes_data
+            }
+        ]
+        return image_parts
+    else:
+        #raise FileNotFoundError("No file uploaded")
+        st.error('Please upload an image', icon="🚨")
+
+
+##initialize our streamlit app
+
+st.set_page_config(page_title="Image Chat")
+
+st.header("Upload an Image and begin to chat")
+
+uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
+image=""   
+if uploaded_file is not None:
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Uploaded Image.", use_column_width=True)
+
+# input=st.text_input("Input Prompt: ",key="input")
+# if input is None:
+#      st.error('Please add an input', icon="🚨")
+
+#submit=st.button("Run")
+
+input_prompt = """
+               Analyze the image and give user a very descriptive information on the details in the image
+               """
+
+## If ask button is clicked
+
+if 'messages' not in st.session_state:
+    st.session_state['messages'] = [] #[{"role": "assistant", "content": "How can I help you?"}]
+
+for msg in st.session_state.messages:
+    st.chat_message(msg["role"]).write(msg["content"])
+
+
+if prompt := st.chat_input():
+    # if not openai_api_key:
+    #     st.info("Please add your OpenAI API key to continue.")
+    #     st.stop()
+
+    #client = OpenAI(api_key=openai_api_key)
+    #client = OpenAI()
+    image_data = input_image_setup(uploaded_file)
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    st.chat_message("user").write(prompt)
+    #response = client.chat.completions.create(model="google/gemma-2b-it", messages=st.session_state.messages)
+    response=get_gemini_response(input_prompt,image_data,prompt)
+
+    msg = response  #response.choices[0].message.content
+    st.session_state.messages.append({"role": "assistant", "content": msg})
+    st.chat_message("assistant").write(msg)