Create app.py

app.py

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+import os
+import time
+from typing import List, Tuple, Optional
+
+import google.generativeai as genai
+import gradio as gr
+from PIL import Image
+
+# Ensure Google API Key is set
+GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
+
+TITLE = """<h1 align="center">☕ Espresso with LeProf 🔥</h1>"""
+SUBTITLE = """<h2 align="center">🌟 Knowledge Shots for Curious Minds</h2>"""
+
+IMAGE_WIDTH = 512
+
+def preprocess_stop_sequences(stop_sequences: str) -> Optional[List[str]]:
+    return [seq.strip() for seq in stop_sequences.split(",")] if stop_sequences else None
+
+def preprocess_image(image: Image.Image) -> Image.Image:
+    image_height = int(image.height * IMAGE_WIDTH / image.width)
+    return image.resize((IMAGE_WIDTH, image_height))
+
+def user(text_prompt: str, chatbot: List[Tuple[str, str]]):
+    """Handles user input and appends to the chatbot."""
+    return "", chatbot + [[text_prompt, None]]
+
+def bot(
+    google_key: str,
+    image_prompt: Optional[Image.Image],
+    temperature: float,
+    max_output_tokens: int,
+    stop_sequences: str,
+    top_k: int,
+    top_p: float,
+    topic: str,
+    chatbot: List[Tuple[str, str]],
+):
+    """Generates a response using Google Gemini."""
+    google_key = google_key or GOOGLE_API_KEY
+    if not google_key:
+        raise ValueError("GOOGLE_API_KEY is not set. Please set it up.")
+    if not topic:
+        raise ValueError("Topic is not set. Please provide a topic.")
+
+    # Get the user's input
+    text_prompt = chatbot[-1][0]
+
+    # Construct the system prompt
+    analysis_system_prompt = (
+        f"You are an expert in {topic}. Analyze the provided text with a focus on {topic}, "
+        "identifying recent issues, insights, or improvements relevant to academic standards and effectiveness. "
+        "Offer actionable advice for enhancing knowledge and provide real-life examples."
+    )
+
+    # Configure Generative AI model
+    genai.configure(api_key=google_key)
+    generation_config = genai.types.GenerationConfig(
+        temperature=temperature,
+        max_output_tokens=max_output_tokens,
+        stop_sequences=preprocess_stop_sequences(stop_sequences),
+        top_k=top_k,
+        top_p=top_p,
+    )
+
+    model_name = "gemini-1.5-pro-latest"
+    model = genai.GenerativeModel(model_name)
+
+    try:
+        # Pass the system prompt and user input as a single prompt
+        response = model.generate_content(
+            prompt=analysis_system_prompt,
+            input=text_prompt,
+            generation_config=generation_config,
+        )
+    except KeyError as e:
+        raise KeyError(f"Error in response generation: {e}")
+
+    # Process and stream the response
+    chatbot[-1][1] = ""
+    for chunk in response:
+        for i in range(0, len(chunk.text), 10):
+            chatbot[-1][1] += chunk.text[i : i + 10]
+            time.sleep(0.01)
+            yield chatbot
+
+# Gradio Components
+google_key_component = gr.Textbox(
+    label="GOOGLE API KEY",
+    type="password",
+    placeholder="Enter your API key...",
+    visible=GOOGLE_API_KEY is None,
+)
+
+topic_input = gr.Textbox(label="Set the Topic", placeholder="e.g., AI in Education, Human-Computer Interaction")
+text_prompt_component = gr.Textbox(label="Ask LeProf", placeholder="Type your question here...")
+chatbot_component = gr.Chatbot(label="LeProf says")
+run_button_component = gr.Button("🫗 Get Your Knowledge Shot")
+
+example_data = [
+    ["AI in Education", "What are the challenges in AI tools for personalized learning?"],
+    ["Multimedia Accessibility", "How can multimedia be made more accessible to people with disabilities?"],
+    ["Ethical AI", "What are the ethical implications of AI in social media content moderation?"],
+    ["Virtual Reality", "How does virtual reality improve skill training in industries?"],
+    ["Augmented Reality", "What are the UX challenges in augmented reality for urban navigation?"],
+]
+
+# Advanced Settings
+temperature_component = gr.Slider(
+    minimum=0, maximum=1.0, value=0.4, step=0.05, label="Creativity Level"
+)
+max_output_tokens_component = gr.Slider(
+    minimum=1, maximum=2048, value=1024, step=1, label="Max Tokens"
+)
+stop_sequences_component = gr.Textbox(label="Stop Sequences", placeholder="e.g., STOP, END")
+top_k_component = gr.Slider(
+    minimum=1, maximum=40, value=32, step=1, label="Top-K Sampling"
+)
+top_p_component = gr.Slider(
+    minimum=0, maximum=1.0, value=1.0, step=0.01, label="Top-P Sampling"
+)
+
+# Layout with Gradio Blocks
+with gr.Blocks() as demo:
+    gr.HTML(TITLE)
+    gr.HTML(SUBTITLE)
+    google_key_component.render()
+    topic_input.render()
+    chatbot_component.render()
+    text_prompt_component.render()
+    gr.Examples(
+        examples=example_data,
+        inputs=[topic_input, text_prompt_component],
+        label="Example Questions",
+    )
+    run_button_component.render()
+    with gr.Accordion("Parameters", open=False):
+        temperature_component.render()
+        max_output_tokens_component.render()
+        stop_sequences_component.render()
+        with gr.Accordion("Advanced Settings", open=False):
+            top_k_component.render()
+            top_p_component.render()
+
+    # Event Handlers
+    run_button_component.click(
+        fn=user, inputs=[text_prompt_component, chatbot_component], outputs=[text_prompt_component, chatbot_component], queue=False
+    ).then(
+        fn=bot,
+        inputs=[
+            google_key_component,
+            None,  # Placeholder for image_prompt (not used in this example)
+            temperature_component,
+            max_output_tokens_component,
+            stop_sequences_component,
+            top_k_component,
+            top_p_component,
+            topic_input,
+            chatbot_component,
+        ],
+        outputs=[chatbot_component]
+    )
+    text_prompt_component.submit(
+        fn=user, inputs=[text_prompt_component, chatbot_component], outputs=[text_prompt_component, chatbot_component], queue=False
+    ).then(
+        fn=bot,
+        inputs=[
+            google_key_component,
+            None,  # Placeholder for image_prompt (not used in this example)
+            temperature_component,
+            max_output_tokens_component,
+            stop_sequences_component,
+            top_k_component,
+            top_p_component,
+            topic_input,
+            chatbot_component,
+        ],
+        outputs=[chatbot_component]
+    )
+
+# Launch the App
+demo.launch()