Rajesh Karra
commited on
Update app.py
Browse files
app.py
CHANGED
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@@ -1,39 +1,56 @@
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import gradio as gr
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import requests
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import os
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#
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GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
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def query_gemini(prompt):
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url = f"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key={GEMINI_API_KEY}"
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headers = {
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"Content-Type": "application/json"
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}
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data = {
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"contents": [
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{
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"parts": [
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{"text": prompt}
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]
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}
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]
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}
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response = requests.post(url, headers=headers, json=data)
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try:
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return response.json()['candidates'][0]['content']['parts'][0]['text']
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except Exception as e:
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return f"Error: {e}\nFull Response: {response.text}"
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iface = gr.Interface(
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fn=query_gemini,
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inputs=gr.Textbox(lines=4, placeholder="Ask something..."),
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outputs="text",
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title="Gemini 2.0 Flash with Gradio",
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description="Powered by Google's Gemini 2.0 Flash API"
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)
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if __name__ == "__main__":
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iface.launch()
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# We are importing three things we need:
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# 1. gradio - to make a simple website interface
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# 2. requests - to talk to Gemini API on the internet
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# 3. os - to get our secret API key safely
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import gradio as gr
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import requests
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import os
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# We get our secret Gemini API key from the environment.
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# This is like unlocking the door so we can talk to the Gemini robot.
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GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
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# This function sends your question (prompt) to Gemini and gets an answer back
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def query_gemini(prompt):
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# This is the website link (URL) where we send our question
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url = f"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key={GEMINI_API_KEY}"
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# We tell the Gemini robot that we are sending text in JSON format
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headers = {
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"Content-Type": "application/json"
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}
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# We put our prompt (question) inside a special box (dictionary)
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data = {
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"contents": [
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{
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"parts": [
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{"text": prompt} # This is the question the user types
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]
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}
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]
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}
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# We send the data to Gemini using a POST request
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response = requests.post(url, headers=headers, json=data)
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# Now we try to get the answer from Gemini’s reply
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try:
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# Gemini replies with some candidates, and we take the first answer
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return response.json()['candidates'][0]['content']['parts'][0]['text']
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except Exception as e:
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# If something goes wrong, we show an error
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return f"Error: {e}\nFull Response: {response.text}"
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# Here we build the user interface using Gradio
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iface = gr.Interface(
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fn=query_gemini, # This is the function we call when the user asks something
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inputs=gr.Textbox(lines=4, placeholder="Ask something..."), # Textbox for input
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outputs="text", # The answer will be shown as plain text
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title="Gemini 2.0 Flash with Gradio", # Title of the web app
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description="Powered by Google's Gemini 2.0 Flash API" # A short description
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)
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# This line says: "Run the app" if you run this file directly
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if __name__ == "__main__":
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iface.launch()
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