Update app.py

app.py

@@ -1,64 +1,155 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-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")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    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
-
-        response += token
-        yield response
-
-
-"""
-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 __name__ == "__main__":
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+# Load model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained("aaliyaan/t5-small-finetuned-career")
+model = AutoModelForSeq2SeqLM.from_pretrained("aaliyaan/t5-small-finetuned-career")
+
+# Function to generate a response from the model and maintain chat history
+def chat_with_gpt(user_input, chat_history):
+    # Tokenize the user input and generate response
+    inputs = tokenizer(user_input, return_tensors="pt", padding=True, truncation=True, max_length=512)
+    outputs = model.generate(**inputs, max_length=150, num_beams=5, early_stopping=True)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+    # Update chat history with the new user input and response
+    chat_history += f"You: {user_input}\nJobMatch AI: {response}\n"
+
+    # Return updated chat history and clear input box
+    return chat_history, ""
+
+# Define the Gradio interface
+def launch_gradio_interface():
+    # Create the Gradio Blocks for the layout
+    with gr.Blocks() as demo:
+        # Title and description section
+        gr.Markdown("<h1 style='color: #3A9FD6; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; font-weight: bold; text-align: center;'>JobMatch AI</h1>")
+        gr.Markdown("<p style='font-size: 18px; color: #333; text-align: center;'>Your trusted career assistant. Ask any job-related question, and get expert advice!</p>")
+
+        # Chat history display (above the input box)
+        chat_history = gr.Textbox(
+            label="Chat History",
+            interactive=False,
+            show_label=False,
+            placeholder="Chat history will appear here...",
+            lines=10,
+            max_lines=20,
+            elem_id="chat-history",
+            value="",  # Initial empty chat history
+            container=False  # To avoid any extra padding around this area
+        )
+
+        # User input and output textboxes
+        with gr.Row():
+            with gr.Column():
+                user_input = gr.Textbox(
+                    label="Ask JobMatch AI",
+                    placeholder="Type your job-related question here...",
+                    lines=2,
+                    max_lines=4,
+                    interactive=True,
+                    elem_id="user-input-textbox",
+                    show_label=False,
+                    container=False
+                )
+
+        # Button to submit input
+        submit_button = gr.Button("Submit", variant="primary")
+
+        # Link the button with the function (updates chat history and clears input)
+        submit_button.click(fn=chat_with_gpt, inputs=[user_input, chat_history], outputs=[chat_history, user_input])
+
+        # Custom CSS styling
+        demo.css = """
+        /* Body and Container Styling */
+        .gradio-container {
+            background: linear-gradient(135deg, #FF9A8B, #FF6A00);  /* Gradient background with warm colors */
+            border-radius: 15px;
+            box-shadow: 0px 6px 30px rgba(0, 0, 0, 0.1); /* Soft shadow for depth */
+            padding: 50px;
+            width: 70%;  /* Adjust width for centering */
+            margin: 0 auto;  /* Centering the container */
+            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; /* Professional font */
+        }
+
+        /* Title Styling */
+        .gradio-title {
+            font-size: 36px;
+            font-weight: 700;
+            color: #ffffff;  /* White color for contrast */
+            text-align: center;
+            margin-bottom: 20px;
+        }
+
+        /* Description Styling */
+        .gradio-description {
+            font-size: 18px;
+            color: #eeeeee;  /* Light gray text for description */
+            text-align: center;
+            margin-bottom: 30px;
+        }
+
+        /* Chat History Box Styling */
+        #chat-history {
+            font-size: 16px;
+            border-radius: 12px;
+            border: none;
+            padding: 14px;
+            background: rgba(255, 255, 255, 0.9);  /* Slight transparent white background */
+            color: #444;
+            margin-bottom: 20px;
+            height: 300px;
+            overflow-y: auto;
+            font-family: 'Roboto', sans-serif;
+            box-shadow: 0px 4px 12px rgba(0, 0, 0, 0.1);  /* Soft shadow for chat history */
+        }
+
+        /* Input Textbox Styling */
+        #user-input-textbox {
+            font-size: 16px;
+            border-radius: 10px;
+            border: none;
+            padding: 12px;
+            width: 100%;
+            margin-bottom: 15px;
+            background-color: #FFFFFF;
+            font-family: 'Roboto', sans-serif;
+            transition: background-color 0.3s ease;  /* Smooth transition for hover effect */
+        }
+
+        #user-input-textbox:focus {
+            background-color: #FFFFFF;  /* Light gray background on focus */
+            border-color: #FF6A00;  /* Orange border on focus */
+        }
+
+        /* Submit Button Styling */
+        .gradio-button {
+            background-color: #3A9FD6;  /* Blue color for submit button */
+            color: white;
+            padding: 14px 28px;
+            border-radius: 8px;
+            box-shadow: 0px 6px 30px H000000; /* Soft shadow for depth */
+            border: none;
+            font-size: 18px;
+            font-weight: 600;
+            cursor: pointer;
+            transition: all 0.3s ease-in-out;
+        }
+
+        .gradio-button:hover {
+            background-color: #FF6A00;  /* Orange color on hover */
+            transform: scale(1.05);  /* Slight button scaling on hover */
+        }
+
+        /* Adjust padding and margins */
+        .gradio-block {
+            padding: 0;
+        }
+        .gradio-row {
+            margin-bottom: 25px;
+        }
+        """
+
     demo.launch()
+
+