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Update app.py
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app.py
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import gradio as gr
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from huggingface_hub import InferenceClient
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HF_TOKEN = "hf_your_token_here" # apna HF token paste karein
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MODEL_NAME = "openai/gpt-oss-20b"
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# 🔒 Hardcoded Practical Lists
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hardcoded_answers = {
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"chemistry class 9 practicals": """🔬 Chemistry Class IX (Practical Index)
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- To separate the given mixture by physical method
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- To determine the melting point of naphthalene
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- To determine the boiling point of acetone
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- To separate naphthalene from mixture of naphthalene and sand (sublimation)
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- To separate alcohol and water by distillation
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- To demonstrate that chemical reaction releases energy in the form of heat
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- To prepare 100 mL of 0.1M sodium hydroxide solution
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- To prepare 250 mL of 0.1M hydrochloric acid solution
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- To prepare 100 mL of 0.1M sodium carbonate solution
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- To prepare 100 mL of 0.1M NaOH by dilution of given solution
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- To prepare pure copper sulphate crystals from impure sample
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- To demonstrate miscible and immiscible liquids
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- To demonstrate effect of temperature on solubility
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- To demonstrate electrical conductivity of different solutions
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- To demonstrate formation of a binary compound""",
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"chemistry class 10 practicals": """🔬 Chemistry Class X (Practical Index)
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- Identify sodium, calcium, strontium, barium, copper and potassium ions by flame test
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- Standardize the given HCl solution volumetrically
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- Determine exact molarity of Na₂CO₃ solution volumetrically
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- Demonstrate that some natural substances are weak acids
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- Classify substances as acidic, basic, or neutral
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- Demonstrate decomposition of sugar into elements/compounds""",
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"physics class 9 practicals": """⚙ Physics Class IX (Practical Index)
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- To measure area of cross-section of a cylinder using vernier callipers
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- To measure volume of a solid cylinder using vernier callipers
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- To study motion of a ball rolling down an inclined plane (s vs t² graph)
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- To determine acceleration due to gravity (g) by free fall method
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- To find limiting friction by roller method
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- To find resultant of two forces acting at a point by graphical method
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- To verify principle of moments using a beam balance
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- To study variation of time period of a pendulum with length and calculate g
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- To determine density of a solid heavier than water using Archimedes principle
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- To study temperature vs time graph (ice → water → steam)""",
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"physics class 10 practicals": """⚙ Physics Class X (Practical Index)
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- To verify the law of reflection of light
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- To find refractive index of water using a concave mirror
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- To determine critical angle of glass using semicircular slab/prism
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- To trace path of a ray of light through a glass prism and measure deviation
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- To find focal length of convex lens (parallel ray/parallax method)
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- To set up an astronomical telescope
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- To set up a microscope
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- To verify Ohm’s law using wire as a conductor
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- To study resistors in series circuit
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- To study resistors in parallel circuit
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- To determine resistance of a galvanometer by half-deflection method
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- To trace magnetic field using a bar magnet"""
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}
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def respond(message, history: list[dict[str, str]]):
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lower_msg = message.lower()
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for key, answer in hardcoded_answers.items():
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if key in lower_msg:
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yield answer
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return # yahan se return ho jayega, model call nahi hoga
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# ✅ Agar hardcoded nahi mila toh model se response lo
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client = InferenceClient(token=HF_TOKEN, model=MODEL_NAME)
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messages = [{"role": "system", "content": "You are a friendly chatbot."}]
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messages.extend(history)
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yield response
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#
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custom_css = """
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if __name__ == "__main__":
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demo.launch(share=True)
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import gradio as gr
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from huggingface_hub import InferenceClient
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import os
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HF_TOKEN = os.getenv("HF_TOKEN")
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def respond(message, history: list[dict[str, str]]):
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client = InferenceClient(token=HF_TOKEN, model="openai/gpt-oss-20b")
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messages = [{"role": "system", "content": "You are a friendly chatbot."}]
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messages.extend(history)
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yield response
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# Improved Purple + White/Grey Theme CSS + Footer Hide
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custom_css = """
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.gradio-container {
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background: linear-gradient(to bottom right, #7E498B, #f5f5f5);
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font-family: 'Segoe UI', sans-serif;
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height: 100vh;
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padding: 20px;
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}
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/* Chat box styling */
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.svelte-1ipelgc, .svelte-1f354aw {
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border-radius: 16px !important;
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background: white !important;
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padding: 12px !important;
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box-shadow: 0px 4px 20px rgba(0,0,0,0.08) !important;
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}
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/* User bubble */
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.user.svelte-1ipelgc {
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background: linear-gradient(135deg, #7E498B, #9b59b6) !important;
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color: white !important;
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border-radius: 18px 18px 0 18px !important;
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padding: 10px 14px !important;
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max-width: 80% !important;
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animation: fadeIn 0.3s ease-in;
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}
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/* Bot bubble */
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.bot.svelte-1ipelgc {
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background: #f1f1f1 !important;
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color: #333 !important;
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border-radius: 18px 18px 18px 0 !important;
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padding: 10px 14px !important;
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max-width: 80% !important;
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box-shadow: 0px 2px 6px rgba(0,0,0,0.05) !important;
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animation: fadeIn 0.3s ease-in;
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}
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/* Input box */
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textarea {
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border-radius: 25px !important;
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padding: 12px 16px !important;
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border: 1px solid #ddd !important;
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outline: none !important;
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font-size: 15px !important;
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resize: none !important;
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}
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/* Send button */
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button {
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border-radius: 25px !important;
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background: linear-gradient(135deg, #7E498B, #9b59b6) !important;
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color: white !important;
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font-weight: bold !important;
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transition: 0.3s;
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}
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button:hover {
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background: #632f73 !important;
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}
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/* Animations */
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@keyframes fadeIn {
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from {opacity: 0; transform: translateY(10px);}
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to {opacity: 1; transform: translateY(0);}
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}
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/* Hide Gradio Footer (API, Logo, Settings) */
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footer, .svelte-1yycg3h, .builder-bar, .wrap.svelte-1ipelgc {
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display: none !important;
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visibility: hidden !important;
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}
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"""
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with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
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gr.ChatInterface(respond, type="messages")
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if __name__ == "__main__":
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demo.launch(share=True)
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