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app.py

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+# Q&A Chatbot
+#from langchain.llms import OpenAI
+
+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-1.5-flash')
+    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")
+
+
+##initialize our streamlit app
+
+st.set_page_config(page_title="Gemini Image Demo")
+
+st.header("Gemini Application")
+input=st.text_input("Input Prompt: ",key="input")
+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)
+
+
+submit=st.button("Tell me about the image")
+
+input_prompt = """
+               You are an expert in nutritionist where you need to see the food items from the image
+               and calculate the total calories, also provide the details of every food items with calories intake
+               is below format
+
+               1. Item 1 - no of calories
+               2. Item 2 - no of calories
+               ----
+               ----
+               """
+
+## If ask button is clicked
+
+if submit:
+    image_data = input_image_setup(uploaded_file)
+    response=get_gemini_response(input_prompt,image_data,input)
+    st.subheader("The Response is")
+    st.write(response)

requirements.txt

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+langchain
+langchain_community
+openai
+huggingface_hub
+python-dotenv
+streamlit
+sentence-transformers
+uvicorn
+ctransformers
+streamlit
+unstructured
+tiktoken
+pinecone-client
+pypdf
+pandas
+numpy
+python-dotenv
+google-generativeai
+chromadb