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.env

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+GOOGLE_API="AIzaSyD6fIFPMHFEvi4bFHIyFg_mq82qhcWUYsY"

app.py

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+from dotenv import load_dotenv
+import streamlit as st
+import os
+import google.generativeai as genai
+import streamlit_analytics
+from PIL import Image
+
+load_dotenv()
+GOOGLE_API_KEY = os.getenv("GOOGLE_API")
+genai.configure(api_key=GOOGLE_API_KEY)
+model = genai.GenerativeModel('gemini-pro')
+model_vision = genai.GenerativeModel('gemini-pro-vision')
+
+
+def gemini_response(question):
+    try:
+        response1 = model.generate_content(question)
+        return response1.text
+    except Exception as e:
+        raise e
+
+
+def gemini_response_vision(input_texts, image):
+    try:
+        if input_texts != "":
+            response2 = model_vision.generate_content([input_texts, image])
+        else:
+            response2 = model_vision.generate_content(image)
+
+        return response2.text
+
+    except Exception as e:
+        raise e
+
+
+# streamlit_analytics.start_tracking()
+tab1, tab2 = st.tabs(["TAB_1:Gemini LLM App Q & A:sunglasses:", "TAB_2:Gemini-Pro-Vision Image To Text:rocket:"])
+
+with tab1:
+    st.title('Generative Question And Answer :blue[Gemini LLM App] :sunglasses:')
+    input_1 = st.text_input("Ask Question:")
+
+    submit1 = st.button("Generate Response")
+    if submit1:
+        if input_1 is not None:
+            st.write('Your Query Response')
+            response = gemini_response(input_1)
+            st.write(response)
+        else:
+            st.write("Enter The Text")
+
+with tab2:
+    st.title('Generative Image Description :blue[Gemini-Pro-Vision LLM App] :sunglasses:')
+
+    uploaded_image = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
+    input_2 = st.text_input("Text for Image: Ask question related to uploaded image")
+
+    if uploaded_image is not None:
+        img = Image.open(uploaded_image)
+        st.image(img, caption="upload images", use_column_width=True)
+
+    submit2 = st.button("Generate Text from Image ")
+
+    if submit2:
+        st.subheader("Response:")
+        res = gemini_response_vision(input_texts=input_2, image=img)
+        st.write(res)
+

requirements.txt

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+Streamlit~=1.31.0
+google-generativeai
+python-dotenv~=0.21.0
+pillow~=10.2.0