Update app.py

app.py

@@ -1,64 +1,138 @@
+# Step 2: Import libraries
 import gradio as gr
-from huggingface_hub import InferenceClient
 
+# Step 3: Define College Data
+college_about = """
+The college was notified to work from 16th July 2003 on the directions of the then care-taker Minister for education Mr. Khan Muhammad Dahri.
+At the beginning, the college had no staff of its own, so it was borrowed from Government Degree College Sakrand.
+The college started its classes in the afternoon at Government High School Daulatpur as it had no specific building.
+With the help of the EDO Education, the possession of the Government Girls High School (Old) Daulatpur was given to the college.
 """
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+# Restructured Data
+data = {
+    "Programs": [
+        "ADSE-I", "ADSE-II", "ADAA-I", "ADAA-II", "BS (Zoology) (Proposed for this year)"
+    ],
+    "Teachers": {
+        "Islamiat": ["Prof Mahfooz Khan (Associate Prof)", "M. Essa Samego (Lecturer)"],
+        "Physics": ["Muhammad Aslam Palli (Associate Prof)", "Asif Ali Rajput (Lecturer)"],
+        "Botany": ["Abdul Rahman Gaincho (Lecturer)"],
+        "Chemistry": ["Ali Aijaz Dahri (Lecturer)"],
+        "Math": ["Fida Hussain (Lecturer)"],
+        "Librarian": ["Zulfiqar Ali (Senior Librarian)"],
+        "DPE": ["Naseer Ahmed (DPE)"],
+    },
+    "Facilities": [
+        "Digital library with 20+ computers",
+        "Parks: Alquran Park and Botany Park with 50+ plants",
+        "Building: Two-floor building with 24 rooms",
+        "Labs: Zoology, Botany, Physics, Chemistry",
+        "Parking area",
+        "Solar system",
+        "RO Plant",
+    ],
+    "Location": "Bypass Daulatpur",
+    "Principal": "Prof Irshad Ali Otho",
+    "Established": "2003",
+    "Contact": {
+        "Location": "National Highway N6 bypass Daulatpur",
+        "Phone": "+92 300 3003249",
+        "Email": "[email protected]",
+        "Facebook": "https://www.facebook.com/share/19j9Z1iEvz/"
+    }
+}
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+# Helper function to answer questions
+def get_answer(question):
+    # Convert question to lowercase for easier matching
+    question = question.lower()
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+    # Check for general categories
+    if "program" in question or "course" in question:
+        return f"Programs offered:\n- " + "\n- ".join(data["Programs"])
 
-    messages.append({"role": "user", "content": message})
+    if "teacher" in question:
+        if "islamiat" in question:
+            return f"Islamiat Teachers:\n- " + "\n- ".join(data["Teachers"]["Islamiat"])
+        elif "physics" in question:
+            return f"Physics Teachers:\n- " + "\n- ".join(data["Teachers"]["Physics"])
+        elif "botany" in question:
+            return f"Botany Teacher:\n- " + "\n- ".join(data["Teachers"]["Botany"])
+        elif "chemistry" in question:
+            return f"Chemistry Teacher:\n- " + "\n- ".join(data["Teachers"]["Chemistry"])
+        elif "math" in question:
+            return f"Math Teacher:\n- " + "\n- ".join(data["Teachers"]["Math"])
+        elif "librarian" in question:
+            return f"Librarian:\n- " + "\n- ".join(data["Teachers"]["Librarian"])
+        elif "dpe" in question:
+            return f"DPE:\n- " + "\n- ".join(data["Teachers"]["DPE"])
+        else:
+            # Return all teachers if no specific subject is mentioned
+            all_teachers = "\n".join(
+                [f"{subject}: " + ", ".join(teachers) for subject, teachers in data["Teachers"].items()]
+            )
+            return f"All Teachers:\n{all_teachers}"
 
-    response = ""
+    if "facility" in question:
+        return f"Facilities available:\n- " + "\n- ".join(data["Facilities"])
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+    if "location" in question:
+        return f"College Location: {data['Location']}"
 
-        response += token
-        yield response
+    if "principal" in question:
+        return f"Principal: {data['Principal']}"
 
+    if "establish" in question or "founded" in question:
+        return f"Established in: {data['Established']}"
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+    if "contact" in question:
+        contact_info = data["Contact"]
+        return (
+            f"Contact Details:\n"
+            f"- Location: {contact_info['Location']}\n"
+            f"- Phone: {contact_info['Phone']}\n"
+            f"- Email: {contact_info['Email']}\n"
+            f"- Facebook: {contact_info['Facebook']}"
+        )
+
+    return "Sorry, I don't have an answer for that. Please ask something else."
+
+
+# Step 4: Create Gradio Interface
+with gr.Blocks(theme=gr.themes.Monochrome()) as app:
+    gr.Markdown("## Government Boys Degree College Daulatpur")
+    gr.Markdown("### Welcome to our College Information App")
+    gr.Image("college_logo.png", label="College Logo")  # Ensure "college_logo.png" exists
+
+
+    with gr.Tabs():
+        with gr.Tab("About College"):
+            gr.Markdown(college_about)
+        with gr.Tab("Programs"):
+            gr.Markdown("\n".join(data["Programs"]))
+        with gr.Tab("Teachers"):
+            all_teachers = "\n".join(
+                [f"{subject}: " + ", ".join(teachers) for subject, teachers in data["Teachers"].items()]
+            )
+            gr.Markdown(all_teachers)
+        with gr.Tab("Facilities"):
+            gr.Markdown("\n".join(data["Facilities"]))
+        with gr.Tab("Ask a Question"):
+            question = gr.Textbox(label="Ask a question about the college")
+            answer = gr.Textbox(label="Answer")
+            question.submit(get_answer, inputs=question, outputs=answer)
+        with gr.Tab("Contact Us"):
+            contact_info = data["Contact"]
+            gr.Markdown(
+                f"**Contact Details:**\n"
+                f"- Location: {contact_info['Location']}\n"
+                f"- Phone: {contact_info['Phone']}\n"
+                f"- Email: {contact_info['Email']}\n"
+                f"[Visit our Facebook Page]({contact_info['Facebook']})"
+            )
 
+    gr.Markdown("### Made by Musawir Manzoor")
 
-if __name__ == "__main__":
-    demo.launch()
+# Step 5: Launch the App
+app.launch()