Update model.py

model.py

@@ -1,96 +1,101 @@
-def model():
-    # Importing All the modules
-    import streamlit as st
-    import os
-    from PIL import Image
-    import google.generativeai as genai
-    from dotenv import load_dotenv
-
-    # Load all environment Variables
-    load_dotenv()
-
-    # Configuring the api key
-    genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-
-    # Function to load Gemini Vison Pro Vision Model and Get response
-    def get_gemini_response(image, prompt):
-        # Loading the desired Model
-        model = genai.GenerativeModel("gemini-pro-vision")
-        response = model.generate_content([image[0], prompt])
-        return response.text
-
-    # Function to extract data from Image Uploaded
-    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")
-
-    # Initializing our Streamlit Prompt
-    st.title("Pet Image Analyzer")
-    st.write(
-        """
-        Welcome to the Pet Image Analyzer! This tool uses advanced AI technology to analyze images of your pets 
-        and provide insights into their breed, potential health issues, and more. Please upload an image of your pet 
-        to get started.
-        """
-    )
-
-    # File uploader for image input
-    uploaded_file = st.file_uploader("Choose a pet image...", type=["jpg", "jpeg", "png", "webp"])
-    image = None
-
-    if uploaded_file is not None:
-        image = Image.open(uploaded_file)
-        st.image(image, caption="Uploaded Image.", use_column_width=True)
-
-        # Defining a System Prompt (pre-defined)
-        input_prompt = f"""Image: (content of the uploaded image)
-
-        Text: Analyze the image and provide the following information:
-
-        * Breed: Identify the breed of the animal in the image (if possible).
-        * Disease Detection: If the image shows a diseased area, identify the specific disease (if possible).
-        * Severity: If a disease is detected, assess the severity of the disease.
-        * Symptoms: Describe the common symptoms associated with the detected disease.
-        * Precautions: Recommend preventative measures to avoid the disease.
-
-        Give response with headings,
-        Inform the user if the image is not related to pet care.
-        """
-
-        submit = st.button("Analyze Image")
-        Disclaimer = (
-            "**Disclaimer:** This application uses image analysis to provide potential information about your pet's health. "
-            "The results are for informational purposes only and should not be considered a replacement for professional veterinary diagnosis. "
-            "For any concerns about your pet's health, please consult a licensed veterinarian. They can conduct a thorough examination and provide personalized recommendations for your pet's well-being."
-        )
-
-        if submit:
-            if image:
-                with st.spinner("Analyzing Image..."):
-                    image_data = input_image_setup(uploaded_file)
-                    response = get_gemini_response(image_data, input_prompt)
-                st.subheader("Analysis Result:")
-                st.write(response)
-                st.warning(Disclaimer)
-                st.balloons()
-            else:
-                st.error("Please upload an image to proceed.")
-    else:
-        st.info("Upload an image of your pet to get started!")
-        st.write(
-            """
-            To analyze your pet's image, click on the 'Choose a pet image...' button above and select an image file from your device. 
-            Once the image is uploaded, click on 'Analyze Image' to receive detailed information about your pet.
-            """
-        )
+def model():
+    # Importing All the modules
+    import streamlit as st
+    import os
+    from PIL import Image
+    import google.generativeai as genai
+    from dotenv import load_dotenv
+    import faiss  # Assuming faiss library is used for the index
+
+    # Load all environment Variables
+    load_dotenv()
+
+    # Configuring the api key
+    genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+    # Function to load Gemini Vison Pro Vision Model and Get response
+    def get_gemini_response(image, prompt):
+        # Loading the desired Model
+        model = genai.GenerativeModel("gemini-pro-vision")
+        response = model.generate_content([image[0], prompt])
+        return response.text
+
+    # Function to extract data from Image Uploaded
+    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")
+
+    # Initializing our Streamlit Prompt
+    st.title("Pet Image Analyzer")
+    st.write(
+        """
+        Welcome to the Pet Image Analyzer! This tool uses advanced AI technology to analyze images of your pets 
+        and provide insights into their breed, potential health issues, and more. Please upload an image of your pet 
+        to get started.
+        """
+    )
+
+    # File uploader for image input
+    uploaded_file = st.file_uploader("Choose a pet image...", type=["jpg", "jpeg", "png", "webp"])
+    image = None
+
+    if uploaded_file is not None:
+        image = Image.open(uploaded_file)
+        st.image(image, caption="Uploaded Image.", use_column_width=True)
+
+        # Defining a System Prompt (pre-defined)
+        input_prompt = f"""Image: (content of the uploaded image)
+
+        Text: Analyze the image and provide the following information:
+
+        * Breed: Identify the breed of the animal in the image (if possible).
+        * Disease Detection: If the image shows a diseased area, identify the specific disease (if possible).
+        * Severity: If a disease is detected, assess the severity of the disease.
+        * Symptoms: Describe the common symptoms associated with the detected disease.
+        * Precautions: Recommend preventative measures to avoid the disease.
+
+        Give response with headings,
+        Inform the user if the image is not related to pet care.
+        """
+
+        submit = st.button("Analyze Image")
+        Disclaimer = (
+            "**Disclaimer:** This application uses image analysis to provide potential information about your pet's health. "
+            "The results are for informational purposes only and should not be considered a replacement for professional veterinary diagnosis. "
+            "For any concerns about your pet's health, please consult a licensed veterinarian. They can conduct a thorough examination and provide personalized recommendations for your pet's well-being."
+        )
+
+        if submit:
+            if image:
+                with st.spinner("Analyzing Image..."):
+                    image_data = input_image_setup(uploaded_file)
+                    response = get_gemini_response(image_data, input_prompt)
+                st.subheader("Analysis Result:")
+                st.write(response)
+                st.warning(Disclaimer)
+                st.balloons()
+            else:
+                st.error("Please upload an image to proceed.")
+    else:
+        st.info("Upload an image of your pet to get started!")
+        st.write(
+            """
+            To analyze your pet's image, click on the 'Choose a pet image...' button above and select an image file from your device. 
+            Once the image is uploaded, click on 'Analyze Image' to receive detailed information about your pet.
+            """
+        )
+
+# Example usage if running as a script
+if __name__ == "__main__":
+    model()